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[Full Time] S&c Global Network - Ai - Life Sciences -data Science Consultant at Accenture

Tue, 07 Apr 2026 12:00:00 +0530

Job Description

About The Role About The Role Job Title - S&C Global Network - AI - Healthcare Analytics - ConsultantManagement Level:9-Team Lead/ConsultantLocation:Bangalore/GurgaonMust-have skills:GenAI, RAG, Agentic AI, Python, SQL, AI/ML, Visualization (Power BI or Tableau)
Good to have skills:R, Spark, data bricks, Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.Roles & Responsibilities:

Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.

Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates.

Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges within the healthcare and life sciences sector.

Demonstrate knowledge of life sciences datasets and maintain strong domain expertise to drive the development of robust analytics solutions.

Support the delivery of consulting projects for global clients, working as part of a small to medium-sized team or as an individual contributor as required.

Collaborate with cross-functional teams, leveraging skills in data engineering, data science, and business intelligence tools such as Power BI or Tableau.

Apply design thinking principles and business process optimization to recommend and implement innovative, value-driven solutions.

Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities.

WHATS IN IT FOR YOU?

An opportunity to work on high-visibility projects with top Pharma clients around the globe.

Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.

Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional.

Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.

Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.

What you would do in this role

Support delivery of small to medium-sized teams to deliver consulting projects for global clients.

Responsibilities may include strategy, implementation, process design, and change management for specific modules.

Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science

Provide Subject matter expertise in various sub-segments of the LS industry.

Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.

Acquire new skills that have utility across industry groups.

Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.

Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.

Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.

Make presentations wherever required to a known audience or client on functional aspects of his or her domain.

Who are we looking for?

Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.

Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.

Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)

Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data.

Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.

Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

Proficiency in Programming languages such as Python, SQL, Spark, etc.

Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.

Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.

Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.

Excellent analytical and problem-solving skills, with a data-driven mindset.

Proficient in Excel, MS Word, PowerPoint, etc.

Ability to solve complex business problems and deliver client delight.

Strong writing skills to build points of view on current industry trends.

Good communication, interpersonal, and presentation skills

Professional & Technical
Skills:

- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Additional Information:- Opportunity to work on innovative projects. - Career growth and leadership exposure.About Our Company | Accenture
Qualification
Job
QualificationsExperience:4-8 Years
Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: Accenture
Location(s): Noida, Gurugram

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[Walk-ins] Walk-in || Gen AI Developer/Lead/Architect at Hexaware Technologies

Mon, 06 Apr 2026 12:00:00 +0530

Job Description
Open & Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist, Lead & Architect in Coimbatore, Tamil Nadu on 11th Apr [Saturday] 2026 LLM, Python, ML, GEN AI, API Integration, Chat GPT

Dear Candidate,
I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI.

We are hosting an Open Walk-in Drive in Coimbatore, Tamil Nadu on 14th Feb [Saturday] 2026, and we believe your skills in Data Scientist AI/ML with GEN AI align perfectly with what we are seeking.
Details of the Walk-in Drive:
Date:11th Apr [Saturday] 2026
Experience: 4 years to 20 years
Time: 9.30 AM to 5PM
Point of Contact: Sharif K-7092297486

Venue: Hexaware Technologies Ltd,
5th Floor, Tower D, India Land Tech Park Pvt Ltd., KGISL Infrastructure Pvt Ltd., Keeranatham Main Road, Saravanampatti, Coimbatore 641035, Tamil Nadu, India
Work Location:Coimbatore, Bangalore, Hyderabad & Open to other locations
Key Skills and Experience: As a GEN AI, we are looking for candidates who possess expertise in the following:
RAG
LLM
Multi -Agent
Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics,PyTorch, Hugging Face

Roles and Responsibilities: As a part of our dynamic team, you will be responsible for:
4 -20 relevant years of experience on Python, NLP, Machine Learning and Deep learning
Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps
Experience in LLMs fine tuning and deployment

Nice to have:
Familiarity with server-side templating languages including Jinja 2 and Mako
REST API, Flask API, Fast API, Django or Pyramid framework
Knowledge of NER and graphs

What to Bring:
Updated resume
Photo ID, Passport size photo

How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event.
This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies.
If you have any questions or require further information, please feel free to reach out to me at sharifk@hexaware.com - contact -7092297486
We look forward to meeting you and exploring the potential of having you as a valuable member of our team
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Walk-ins
Contact Details:
Company: Hexaware Technologies
Location(s): Coimbatore

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[Full Time] Data Architect at Tech Mahindra

Mon, 06 Apr 2026 12:00:00 +0530

Job Description
Skills Required
8+ years of strong experience with data transformation & ETL on large data sets
Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.)
5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data)
5+ years of complex SQL or NoSQL experience
Experience in advanced Data Warehouse concepts
Experience in industry ETL tools (i.e., Informatica, Unifi)
Experience with Business Requirements definition and management, structured analysis, process design, use case documentation
Experience with Reporting Technologies (i.e., Tableau, PowerBI)
Experience in professional software development
Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome
Must be self-managed, proactive and customer focused
Degree in Computer Science, Information Systems, Data Science, or related field
Special Consideration given for
Experience & knowledge with Adobe Experience Cloud solutions
Experience & knowledge with Digital Analytics or Digital Marketing
Experience in programming languages (Python, Java, or Bash scripting)
Experience with Big Data technologies (i.e., Hadoop, Spark, Redshift, Snowflake, Hive, Pig etc.)
Experience as an enterprise technical or engineer consultant

If you feel the above profile is suitable pls share your CV to below ID
shravankumar.sekar@techmahindra.com

Please fill the below forms as well.
https://forms.cloud.microsoft/r/qeQZuMZEkY
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] S&C Global Network - Ai - Cmt - Consultant Data Science at Accenture

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Job Title - Decision Science Practitioner Consultant SC GN Management Level:Consultant Location:Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills:Data Modelling, Conceptual Logical Design, Semantic Modelling and Understanding of Knowledge Graphs
Good to have skills: Data Science, Ontologies, AI/ML Data Enablement, GenAI Foundations Job Summary: We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments. Key Responsibilities
Project and Team Leadership
Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.

Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.

Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.

Document communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.

Contribute to project delivery through high-quality, low-defect delivery, documentation, design reviews, and model governance activities.
Data Modelling Semantic Modelling Expertise
Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.

Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.

Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.

Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.

Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.
AI GenAI Enablement
Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.

Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.

Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.

Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.
Data Governance Standards
Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.

Support data governance initiatives including metadata management, lineage, and documentation.

Ensure consistency, quality, and reusability of data assets across platforms and use cases.
Business Impact and Innovation
Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.

Enable faster solution development by providing high-quality, well-documented data foundations.

Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.
Qualification Required
Qualifications Experience
46 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.

Experience designing conceptual, logical, and physical data models.

Experience working in consulting or client-facing roles is highly preferred.
Education
Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Technical Skills
Strong expertise in data modeling techniques and methodologies.

Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.

Experience working with relational and graph-based data models.

Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).

Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.
Preferred Skills
Exposure to knowledge graph technologies (e.g., Neo4j or similar).

Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.

Experience defining data standards and governance frameworks.

Prior experience supporting analytics, decision science, or AI-driven initiatives.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&C Global Network - Ai - Cmt - Consultant Data Science at Accenture

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Job Title - Decision Science Practitioner Consultant SC GN Management Level:Consultant Location:Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills:Data Modelling, Conceptual Logical Design, Semantic Modelling and Understanding of Knowledge Graphs
Good to have skills: Data Science, Ontologies, AI/ML Data Enablement, GenAI Foundations Job Summary: We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments. Key Responsibilities
Project and Team Leadership
Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.

Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.

Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.

Document communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.

Contribute to project delivery through high-quality, low-defect delivery, documentation, design reviews, and model governance activities.
Data Modelling Semantic Modelling Expertise
Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.

Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.

Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.

Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.

Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.
AI GenAI Enablement
Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.

Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.

Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.

Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.
Data Governance Standards
Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.

Support data governance initiatives including metadata management, lineage, and documentation.

Ensure consistency, quality, and reusability of data assets across platforms and use cases.
Business Impact and Innovation
Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.

Enable faster solution development by providing high-quality, well-documented data foundations.

Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.
Qualification Required
Qualifications Experience
46 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.

Experience designing conceptual, logical, and physical data models.

Experience working in consulting or client-facing roles is highly preferred.
Education
Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Technical Skills
Strong expertise in data modeling techniques and methodologies.

Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.

Experience working with relational and graph-based data models.

Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).

Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.
Preferred Skills
Exposure to knowledge graph technologies (e.g., Neo4j or similar).

Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.

Experience defining data standards and governance frameworks.

Prior experience supporting analytics, decision science, or AI-driven initiatives.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

Apply

[Full Time] S&C Global Network - Ai - Cmt - Consultant Data Science at Accenture

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Job Title - Decision Science Practitioner Consultant SC GN Management Level:Consultant Location:Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills:Data Modelling, Conceptual Logical Design, Semantic Modelling and Understanding of Knowledge Graphs
Good to have skills: Data Science, Ontologies, AI/ML Data Enablement, GenAI Foundations Job Summary: We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments. Key Responsibilities
Project and Team Leadership
Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.

Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.

Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.

Document communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.

Contribute to project delivery through high-quality, low-defect delivery, documentation, design reviews, and model governance activities.
Data Modelling Semantic Modelling Expertise
Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.

Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.

Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.

Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.

Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.
AI GenAI Enablement
Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.

Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.

Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.

Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.
Data Governance Standards
Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.

Support data governance initiatives including metadata management, lineage, and documentation.

Ensure consistency, quality, and reusability of data assets across platforms and use cases.
Business Impact and Innovation
Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.

Enable faster solution development by providing high-quality, well-documented data foundations.

Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.
Qualification Required
Qualifications Experience
46 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.

Experience designing conceptual, logical, and physical data models.

Experience working in consulting or client-facing roles is highly preferred.
Education
Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Technical Skills
Strong expertise in data modeling techniques and methodologies.

Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.

Experience working with relational and graph-based data models.

Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).

Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.
Preferred Skills
Exposure to knowledge graph technologies (e.g., Neo4j or similar).

Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.

Experience defining data standards and governance frameworks.

Prior experience supporting analytics, decision science, or AI-driven initiatives.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

Apply

[Full Time] S&C Global Network - Ai - Cmt - Consultant Data Science at Accenture

Thu, 02 Apr 2026 12:00:00 +0530

Job Description
Job Title - Decision Science Practitioner Consultant SC GN Management Level:Consultant Location:Bangalore/ Kolkata/Gurugram/Hyderabad Must have skills:Data Modelling, Conceptual Logical Design, Semantic Modelling and Understanding of Knowledge Graphs
Good to have skills: Data Science, Ontologies, AI/ML Data Enablement, GenAI Foundations Job Summary: We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments. Key Responsibilities
Project and Team Leadership
Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.

Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.

Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.

Document communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.

Contribute to project delivery through high-quality, low-defect delivery, documentation, design reviews, and model governance activities.
Data Modelling Semantic Modelling Expertise
Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.

Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.

Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.

Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.

Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.
AI GenAI Enablement
Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.

Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.

Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.

Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.
Data Governance Standards
Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.

Support data governance initiatives including metadata management, lineage, and documentation.

Ensure consistency, quality, and reusability of data assets across platforms and use cases.
Business Impact and Innovation
Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.

Enable faster solution development by providing high-quality, well-documented data foundations.

Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.
Qualification Required
Qualifications Experience
46 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.

Experience designing conceptual, logical, and physical data models.

Experience working in consulting or client-facing roles is highly preferred.
Education
Bachelors or Masters degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
Technical Skills
Strong expertise in data modeling techniques and methodologies.

Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.

Experience working with relational and graph-based data models.

Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).

Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.
Preferred Skills
Exposure to knowledge graph technologies (e.g., Neo4j or similar).

Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.

Experience defining data standards and governance frameworks.

Prior experience supporting analytics, decision science, or AI-driven initiatives.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

Apply

[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level:Sr. Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceJob
Summary:We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.

Cloud Platform Expertise
Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.

Data Science and Engineering
Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Required
Qualifications
Experience:3+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.About Our Company | Accenture
Qualification
Experience:3+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

Apply

[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Analyst at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role About The Role TemplateJob Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceExperience:2+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field Job Summary:We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise
Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering
Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.
Qualification
Required
Qualifications
Experience:2+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Analytics Professional at Apptad

Sat, 11 Apr 2026 21:08:54 +0530

Job Description
oles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perforM - Supporting delivery excellence by monitoring, tracking, and providing insights.
- The candidates will also be responsible for delivery planning for big projects and other centralized deliverables- Data stewardship- Additionally, they will need to perform data analysis and develop power management dashboards- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.
- Mentor junior team members to support their professional growth and integration within project workflows.

Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics, Data Visualization, Microsoft Power Business Intelligence (BI).
- Must have 6+ years of experience in Data Analytics, Visualization through Power BI, Power Automate, advanced Excel, and VBA skill.
- Strong analytical skills to interpret complex data sets and derive actionable insights.
- Experience with data modeling and data warehousing concepts to support business intelligence solutions.
- Ability to work with large volumes of data and ensure data accuracy and integrity.
- Familiarity with scripting and query languages to manipulate and extract data efficiently.
- Capability to collaborate with cross-functional teams to translate business needs into technical solutions.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Apptad
Location(s): Bokaro

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[Full Time] AWS Data Engineer at Quinnox

Fri, 10 Apr 2026 12:00:00 +0530

Job Description
Roles and Responsibilities :
Design, develop, test, deploy and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions etc.
Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
Develop complex SQL queries to extract insights from Snowflake databases and integrate them into Kafka messaging systems.
Troubleshoot issues related to data processing workflows and provide recommendations for improvement.
Job Requirements :
8-15 years of experience in Data Engineering with expertise in Python programming language.
Strong understanding of AWS ecosystem including S3, Lambda, Step Functions etc.
Proficiency in working with Snowflake database management system and ability to write complex SQL queries.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Quinnox
Location(s): Mumbai

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[Full Time] Ai Ml Engineer at Optum

Thu, 09 Apr 2026 12:00:00 +0530

Job Description

Required Qualifications:
Graduate degree or equivalent experience
7+ years Python engineering experience, hands-on LLM/RAG work, familiarity with Redis or similar cache and a durable DB, REST APIs and CI/CD; preferred: experience with orchestration libraries (e.g., LangChain), vector indexes (FAISS/Milvus), and cloud platforms
Primary Responsibilities:
Build production generative-AI agents and retrieval-augmented pipelines to power multi-turn conversational workflows using Python and agent orchestration patterns
Mentor the team in building and implementing AI agents
Implement one-question-at-a-time dialog flows and server-side context storage using a fast cache (e.g., Redis) and a durable database/checkpoint store
Do prompt engineering, automated evaluation, and implement safety guardrails to reduce hallucinations and ensure reliable outputs
Integrate with chatbots and other services (agent-to-agent patterns), including provenance/correlation headers and idempotent submit actions
Deliver cloud-native services (serverless or containers), use containerization (Docker) and CI/CD for deployments
Write tests (pytest or similar), add telemetry/tracing, and monitor system and model behavior for performance and drift
Follow security and compliance best practices: data minimization, access controls, encrypted audit trails, and secure secret management
Works with less structured, more complex issues
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Optum
Location(s): Hyderabad

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[Full Time] Python AI/ML Engineer- B at Infosys

Wed, 08 Apr 2026 12:00:00 +0530

Job Description
Roles and Responsibilities
Design and develop generative AI models using various techniques such as language modeling, text generation, image synthesis, etc.
Collaborate with cross-functional teams to integrate generative AI solutions into existing systems.
Develop and maintain large language models (LLM) for specific domains or tasks.
Implement retrieval augmented generation (RAG) techniques to improve the quality of generated content.
Conduct research on emerging trends in generative AI to stay up-to-date with industry advancements.
Desired Candidate Profile
5-10 years of experience in Generative AI development using technologies like Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Clinical Data Science Lead at ICON plc

Wed, 08 Apr 2026 12:00:00 +0530

Job Description

We are currently seeking a Clinical Data Science Lead to join our diverse and dynamic team. As a Clinical Data Science Lead at ICON, you will play a crucial role in driving data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. You will contribute to the advancement of innovative therapies by overseeing data science projects and leading a team of data professionals.
What You Will Be Doing:

Leading the design and implementation of data science strategies to enhance clinical trial data analysis.

Collaborating with cross-functional teams to identify key data requirements and analytical needs.

Overseeing the development of statistical models and analytical tools to optimize data interpretation.

Mentoring and guiding team members in best practices for data analysis and visualization.

Communicating findings and insights to stakeholders through presentations and reports, influencing project direction.

Your Profile:

Advanced degree in statistics, data science, life sciences, or a related field.

Extensive experience in data analysis and project leadership within a clinical research setting.

Strong expertise in statistical software and data visualization techniques.

Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights.

Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams.

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ICON plc
Location(s): Chennai

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[Full Time] Data Analyst at Cognizant

Fri, 03 Apr 2026 15:30:12 +0530

Job Description
Hiring for Senior Data Analyst

Location: Hyderabad, IN - Work from Office

Date: 4th April 2026
Time: 9am - 11am

Job Location : Hyderabad.

Venue :
Cognizant Technology Solution, Raheja Mindspace IT Park, Cognizant Building 12A, Madhapur, Hitech city, Hyderabad - 500081

Note: Please bring resume and passport size photo.

Role & responsibilities :

Advanced Data Analysis: Utilize advanced SQL skills to query, analyze, and manipulate large, complex datasets. Develop and maintain robust, scalable dashboards and reports to monitor key performance indicators (KPIs).
Source Code management: Proven ability to effectively manage, version, and collaborate on code using codebase management systems like GitHub. Responsible for upholding data integrity, producing reproducible analyses, and fostering a collaborative database management environment through best practices in version control and code documentation.
Strategic Insights: Partner with product managers and business stakeholders to define and answer critical business questions. Conduct deep-dive analyses to identify trends, opportunities, and root causes of performance changes.
Data Architecture & Management: Work closely with data engineers to design, maintain, and optimize data schemas and pipelines. Provide guidance on data modeling best practices and ensure data integrity and quality.
Reporting & Communication: Translate complex data findings into clear, concise, and compelling narratives for both technical and non-technical audiences. Present insights and recommendations to senior leadership to influence strategic decision-making.
Project Leadership: Lead analytical projects from end to end, including defining project scope, methodology, and deliverables. Mentor junior analysts, fostering a culture of curiosity and data-driven problem-solving.
Required Skills & Experience
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
5+ years of professional experience in a data analysis or business intelligence role.
Expert-level proficiency in SQL with a proven ability to write complex queries, perform window functions, and optimize queries for performance on massive datasets.
Strong understanding of data architecture, including data warehousing, data modeling (e.g., star/snowflake schemas), and ETL/ELT principles.
Excellent communication and interpersonal skills, with a track record of successfully influencing stakeholders.
Experience with a business intelligence tool such as Tableau, Looker, or Power BI to create dashboards and visualizations.
Experience with internal Google/Alphabet data tools and infrastructure, such as BigQuery, Dremel, or Google-internal data portals.
Experience with statistical analysis, A/B testing, and experimental design.
Familiarity with machine learning concepts and their application in a business context.
A strong sense of curiosity and a passion for finding and communicating insights from data.
Proficiency with scripting languages for data analysis (e.g., App scripting, Python or R) would be an added advantage

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Hyderabad

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[Full Time] Ey - Gds Consulting - Aia - Data Science - Manager at EY

Fri, 03 Apr 2026 12:00:00 +0530

Job Description

We are seeking a highly skilled Pharma Forecasting Specialist to join our team. This role involves being a key stakeholder in a cross-functional team responsible for forecasting at global, country, and region levels based on need. The ideal candidate will have strong forecasting skills of around 10+ years, therapeutic area (TA) and pharma experience, and the ability to recommend assumptions, create concept notes, and develop presentations. Basic Python coding skills are also required

Your Key Responsibilities

Develop brand volume forecasts for both short-term and long-term strategic and operational planning.

Conduct strategic long-term brand and franchise forecasting, providing guidance based on franchise insights.

Solve regional and brand-level analytical challenges using quantitative approaches. Perform sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.

Collaborate as a key stakeholder in cross-functional teams (marketing, finance, MMD, HHI, RCL) for global, country, and regional forecasting needs.

Create and maintain accurate forecasts using advanced analytical and forecasting techniques.

Recommend assumptions and methodologies for forecasting models.

Prepare concept notes and presentations to effectively communicate findings and recommendations.

Perform comprehensive business analysis, including requirement elicitation, data management, and change management.

Apply Python coding skills to automate and improve forecasting processes.

Collaborate with global teams (marketing, finance, RCLs, HHI, MMD, market access) to gather requirements and deliver insights.

Analyze historical data and market trends to inform forecasting models.

Develop and maintain detailed reports and dashboards for forecasting purposes.

Present findings and recommendations to internal stakeholders and executive leadership.

Continuously optimize forecasting processes and methodologies.

Stay updated with the latest tools, technologies, and best practices in forecasting and analytics.

Skills and attributes for success

Required Skills:

Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation.

Knowledge of Long Range Forecasting process.

Excellent communication, facilitation, and stakeholder management skills.

Therapeutic area-specific knowledge and pharma experience.

Basic Python coding skills.

Desired Skills and Experience:

Extensive experience in business analysis and forecasting within the pharmaceutical industry.

Strong knowledge of one or more pharma therapeutic area such as Oncology, Vaccines etc.

Proven track record in developing and maintaining accurate forecasts.

Advanced proficiency in business analysis and forecasting tools.

Basic proficiency in Python coding.

Strong verbal and written communication skills.

Ability to manage tasks independently and proactively.

Strong analytical and problem-solving skills.

Ability to work collaboratively with cross-functional teams and stakeholders.

Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.

Desired Skills and Experience:

Extensive experience in business analysis and forecasting within the pharmaceutical industry.

Strong knowledge of one or more pharma therapeutic area such as Oncology, Vaccines etc.

Proven track record in developing and maintaining accurate forecasts.

Advanced proficiency in business analysis and forecasting tools.

Basic proficiency in Python coding.

Strong verbal and written communication skills.

Ability to manage tasks independently and proactively.

Strong analytical and problem-solving skills.

Ability to work collaboratively with cross-functional teams and stakeholders.

Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.

Minimum Qualifications:

Bachelors degree with relevant work experience in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Experience with tools and techniques like SQL, Tableau, Alteryx, and data processing.

Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus.

Preferred Qualifications:

Relevant analytical experience in Pharmaceutical Industry.

Experience in developing and maintaining forecasting models in the pharmaceutical industry.

Expertise in business analysis and forecasting tools.

Basic proficiency in Python coding.

Strong verbal and written communication skills.

Proactiveness and passion to tackle new challenges.

Personal drive and positive work ethic to deliver results in demanding situations.

Job Classification
Industry: Accounting / Auditing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Kolkata

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[Full Time] V&V Designer at Careernet

Fri, 03 Apr 2026 12:00:00 +0530

Job Description
Key Skills: Test Stand, Black Box Testing, Verification Validation, Testing, Hil Testing
Roles and Responsibilities:
Perform subsystem-level validation and comprehensive black box testing.
Utilize NI Test Stand and related tools for structured test execution and reporting.
Analyze system behavior using tools such as Wireshark for effective diagnostics.
Collaborate with cross-functional teams to ensure compliance with industry and safety standards.
Document test results, findings, and recommendations with clarity and accuracy.
Contribute to continuous improvement initiatives by adapting to new tools, projects, and processes.
Skills Required:
Strong experience in verification and validation processes within safety-critical systems.
Hands-on experience with Test Stand for automated test execution.
Solid understanding of black box testing and subsystem validation techniques.
Experience working in environments requiring SIL4 or equivalent safety standards compliance.
Familiarity with HIL (Hardware-in-the-Loop) testing methodologies is advantageous.
Proficiency in testing tools and network analysis utilities such as Wireshark.
Strong analytical, communication, and documentation skills.
Education: B.E. or B.Tech in Electronics, Electrical, Mechanical, Computer Science, or a related engineering field.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Careernet
Location(s): Bengaluru

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[Full Time] Machine Learning Engineer at Top product-based

Fri, 03 Apr 2026 12:00:00 +0530

Job Description
Hi,

Looking for candidates with strong experience in Machine Learning, Python, GCP, Pricing models, LLM/RAG and MLOPS.

Interested candidates can share their updated CV at sai.sumiran@v3staffing.in

Experience: 5 to 8 years
Notice period: immediate to 30 days
Education: B.E/B.Tech or M.Sc/MCA/M.Tech

Please find the JD below:

KEY RESPONSIBILITIES
ML Development & Deployment
Design, develop and deploy production-grade ML models for dynamic pricing, personalised price and product recommendation engines, automated property valuation, rent and occupancy prediction models, sentiment evaluation
Develop algorithms to analyse pricing anomalies and respond to real-time supply-demand data and create an impact on revenue management
Identify micro-location factors driving rental growth and build models for automated price setting
Develop computer vision models for property image analysis, floor plan processing, and automated condition assessment
MLOps & Infrastructure
Build robust MLOps pipelines model training, versioning, CI/CD, monitoring, and drift detection
Implement model monitoring for performance degradation and data quality issues
Optimise model performance for latency, throughput, and cost efficiency in production
Collaborate closely with UK and Europe teams to translate business problems into ML solutions

REQUIRED TECHNICAL SKILLS
Python

Expert-level; production-quality code; strong software engineering fundamentals
ML Frameworks

Deep expertise in PyTorch or TensorFlow; hands-on proficiency in scikit-learn, XGBoost, LightGBM
AI for model fine-tuning

Exposure to an AI-enabled environment for model buildingand fine-tuning
MLOps

MLflow or Weights & Biases; model versioning, A/B testing, drift monitoring in production
Cloud

Proficiency on any major cloud platform (AWS, Azure, or GCP) for ML deployment
Containerisation

Docker and Kubernetes for model deployment and CI/CD pipelines
Dynamic Pricing

Proven capability in building dynamic pricing models eg in e-commerce, retail, travel, hospitality, financial products

IDEAL CANDIDATE PROFILE
3+ years deploying ML models in live production environments (not just training or PoC)
Track record of model serving at 10,000+ predictions/day with sub-100ms latency
Proven ability in building dynamic pricing models or recommendation engines is a pre-requisite
Experience in NLP/Document AI, Computer Vision, Time Series and trend Forecasting
Background in finance, retail or e-commerce domains is a strong advantage
Interest in playing a leadership role and mentoring junior team members as the team grows
Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Top product-based
Location(s): Bengaluru

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[Full Time] Data Science-Machine learning Engineer at EXL

Fri, 03 Apr 2026 05:40:43 +0530

Job Description

Marketing Analytics Domain Understanding:

Understanding of PC insurance marketing/ Campaign working understanding

Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format

Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy

Generate campaign and project performance reports with ability to understand marketing concept

Data Analytics:

Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.

Review and analyze complex data aggregations

Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA

ML techniques :

Knowledge of Modelling based on large set of variables from varied sources

Understanding and working knowledge of statistical and Machine learning techniques

Education: Master s in Statistics/Economics/MBA, Engineering

Experience: 0-3 years of experience Machine Learning, Data Modelling, Programming with SAS/Python.

Technical Skills: Python for data analytics and modeling, Machine Learning Techniques

Marketing Analytics Domain Understanding:

Understanding of PC insurance marketing/ Campaign working understanding

Participate in moderately complex initiatives to deliver insights by converting the business problem into analytical format

Programming, reporting the finding, using end results to contribute to large scale planning and process to create decision strategy

Generate campaign and project performance reports with ability to understand marketing concept

Data Analytics:

Ability to do end to end programming in python/SAS to extract the results as required by the problem at hand.

Review and analyze complex data aggregations

Ability to self-check and QC the end results in line with changing requirements and modifications. well versed in EDA

ML techniques :

Knowledge of Modelling based on large set of variables from varied sources

Understanding and working knowledge of statistical and Machine learning techniques

Job Classification
Industry: Miscellaneous
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: EXL
Location(s): Noida, Gurugram

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[Full Time] Data Scientist/AI developer at Infosys

Fri, 03 Apr 2026 05:18:39 +0530

Job Description
Role & responsibilities

Data Scientist/AI developer

Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Sr Data Science Engineer at Adobe

Thu, 02 Apr 2026 12:00:00 +0530

Job Description

Adobe is seeking a highly skilled Senior Data Engineer to join our Doc Cloud Product Business Analytics organization. This role focuses on building and operating large-scale analytical data pipelines and analytics-ready data tables that power product adoption, usage metrics, experimentation (A/B testing), and executive dashboards across a massive monthly active user base.

You will work primarily on Azure Databricks, playing a key role in setting up and evolving our Databricks-based analytics data warehouse, including curated tables, metric foundations, and scalable data models.

This role is ideal for a hands-on data engineer with deep expertise in SQL, Python, Spark, and Delta Lake, and a strong understanding of analytics-driven data warehousing and product analytics.

Key Responsibilities

Design, build, and maintain large-scale, production-grade data pipelines on Azure Databricks using Apache Spark and Python

Write and optimize complex, high-performance SQL for data transformation, aggregation, and analytics workloads at scale

Develop and maintain analytics-ready data models (fact tables, dimensions, rollups, metric layers, and gold layer tables) used for dashboards and reporting

Optimize Databricks workloads for performance, reliability, and cost efficiency , including tuning Spark jobs and Delta Lake tables

Establish and apply Delta Lake best practices , including incremental and idempotent processing, MERGE patterns, partitioning, and table optimization.

Partner closely with product analysts, business analysts, data scientists, and product managers to enable reliable, self-serve analytics, supporting product-led growth use cases.

Implement data quality checks, validation frameworks, and monitoring to ensure accurate and trusted analytics metrics

Apply strong Data engineering best practices , including version control and documentation

Contribute to solutions that integrate structured and unstructured data , including selective use of GenAI / LLM-based capabilities where relevant

Required Qualifications
Education

bachelors degree or higher in Computer Science, Engineering, or a related field

Experience

6 12 years of professional experience in Data Engineering

Proven experience building and supporting production-grade analytical data pipelines at scale

Technical Expertise (Must-Have)

Expert-level SQL skills, including complex joins, window functions, performance tuning, and large-scale aggregations

Advanced Python proficiency for data processing, pipeline development, and automation

Deep hands-on experience with Azure Databricks and Apache Spark

Strong understanding of Delta Lake and optimization techniques (partitioning, Z-ordering, compaction)

Experience designing data models optimized for analytics and BI consumption

Cloud Platform

Strong experience with Microsoft Azure , including data lake storage and access controls

Familiarity with lakehouse architectures and enterprise data governance concepts

Preferred Qualifications

Experience with streaming or near real-time data pipelines on Databricks

Prior experience supporting product analytics, feature adoption, or MAU-based metrics

Exposure to MLOps, LLM deployment, or GenAI-enabled data applications

Familiarity with BI tools such as Tableau or Power BI and their performance considerations

Experience mentoring analysts or junior data engineers

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Adobe
Location(s): Noida, Gurugram

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[Full Time] Azure Databricks - Architect at Tiger Analytics

Thu, 02 Apr 2026 09:58:58 +0530

Job Description
Azure Architect - Data Engineering

JOB DESCRIPTION
Azure Databricks Architect

Role Overview:
We are looking for experienced Data Architects / Senior Data Architects to join our teams. In this role, you will lead the architecture, design, and delivery of modern data platforms including Data Lakes, Lakehouses, and Data Meshusing Azure and Databricks. This is a hybrid role involving hands-on development, customer engagement, and technical
leadership, where you will collaborate across teams to drive scalable and innovative data solutions end-to-end.

Key Responsibilities:
Architect and implement data solutions leveraging Azure and the Databricks ecosystem.
Own the complete lifecycle of data platform implementationsfrom requirements gathering and platform selection to architecture design and deployment.
Work closely with data scientists, application developers, and business stakeholders to deliver enterprise-grade data solutions.
Continuously explore emerging technologies to solve business problems creatively.
Mentor and guide a team of data engineers, promoting best practices and innovation. Contribute to broader organizational initiatives including capability building, solution development, talent acquisition and industry events.

EXPERTISE AND QUALIFICATIONS
8+ years of overall technical experience with at least 4 years working hands-on with Microsoft Azure and Databricks.
Experience of leading at least 2 end to end Data Lakehouse project on Azure Databricks involving Medallion Architecture.
Deep expertise in the Databricks ecosystem, including: PySpark, Notebooks, Unity Catalog, Delta Live Tables, Workflows, SQL, Warehouse, Mosaic AI, AI/BI Genie.
Hands-on experience building modern data platforms on Azure using tools and services such as: Azure Databricks, Azure Data Factory, ADLS Gen2, SQL Database, Microsoft Fabric, Event Hub, Stream Analytics, Cosmos DB, Azure Purview, Log Analytics, and Azure Explorer.
Experience of designing and developing metadata-driven frameworks (relevant for Data Engineering processes).
Strong programming, debugging, and performance tuning skills in Python and SQL.
Good Experience of Data modeling (both Dimensional and 3-NF)
Good Exposure to developing LLM/GenAI-powered applications.
Sound understanding of CI/CD processes using Git and Jenkins or Azure DevOps.
Familiarity with big data platforms such as Cloudera (CDH) or Hortonworks (HDP) is a plus.
Exposure to technologies like Neo4j, Elasticsearch, and vector databases is desirable.
Bonus: Experience with Azure infrastructure provisioning, networking, security, and governance.

Educational Background:
Bachelors degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Generative AI - India at Infosys

Thu, 02 Apr 2026 07:58:31 +0530

Job Description
Job description

Hiring for Generative AI/Machine Learning with experience range 5 to 9 years.

Mandatory Skills: Generative AI/Machine Learning/Deep Learning/Python/NLP/Computer Vision. Langchain (LLM Models), Data science
Education: BE/B.Tech/MCA/M.Tech/MSc./MSts
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Engineer at Diligentminds

Thu, 02 Apr 2026 06:34:09 +0530

Job Description
Hiring Senior Data Engineers (4-10 yrs exp)! Join us to build scalable pipelines using PySparkm Databricks, Airflow, & Cloud (AWS/GCP/Azure). Must have strong Python/Scala, Docker/K8s.
Send resume to shubham.singh@diligentmindsconsulting.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Diligentminds
Location(s): Bengaluru

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[Full Time] Data Scientist at EY

Wed, 01 Apr 2026 16:29:27 +0530

Job Description
8-10+ years of relevant experience
Design, build, validate and deploy production grade rule-based & machine learning models using structured and unstructured data.
Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data Science, DevOps, BI & insights)
Python
Statistics, hypothesis testing, Feature engineering, Modeling
Machine learning frameworks: Scikit-learn, TensorFlow, Pytorch,
Natural language processing (NLP): spacy, Transformers, OCR
Generative AI: Large language Models, prompt engineering
Communication skills, analytical skills, structured problem-solving skills.,
Mentorship experience
Storytelling skills, Partner & Stakeholder engagement experience
Notice period - 30 Days

Please share updated resume and LinkedIn at akila.sasikumar@in.ey.com
Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Hyderabad

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[Full Time] Senior Analyst - Data Science at LatentView

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
We are seeking a skilled AI professional to build and scale foundational AI capabilities for clients. The role focuses on developing knowledge graphs, designing AI agents, and deploying scalable LLM-based solutions to enhance productivity and accelerate time-to-insights. The candidate will also act as a key representative of AI innovation, driving adoption and maturity of AI solutions across the clients ecosystem.

Job Description

Build foundational knowledge graphs to support the clients AI ecosystem.

Develop AI agents to automate existing ML and MLOps pipelines.

Act as the face of AI innovation, driving AI maturity for scalable and production-grade solutions.

Design, develop, and deploy scalable Large Language Models (LLMs).

Collaborate with cross-functional teams including Data Science, Data Engineering, and Business Analytics to deliver impactful AI solutions.

Improve business productivity and accelerate time-to-insights through advanced AI implementations.

Required Skills

Strong expertise in Generative AI (GenAI).

Hands-on experience in LLM development and deployment.

Knowledge of knowledge graphs and AI agents.

Familiarity with ML and MLOps pipelines.

Ability to work with cross-functional teams and translate business problems into AI solutions.

Experience in building scalable, production-grade AI systems
Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: LatentView
Location(s): Chennai

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[Full Time] Senior Analyst - Data Science at LatentView

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
We are seeking a highly skilled Senior Data Scientist to join our Data Science Center of Excellence (COE). This role focuses on designing, building, and deploying advanced machine learning and statistical solutions to solve complex business problems across multiple domains.

You will collaborate closely with business stakeholders, data engineering teams, and platform teams to deliver scalable, production-grade machine learning systems. The role requires strong expertise in Python, SQL, statistics, and machine learning, along with hands-on experience in model deployment, lifecycle management, and governance. Exposure to cloud platforms and emerging AI technologies is highly desirable.

Key Responsibilities

Design and develop machine learning models and statistical solutions to address complex business problems.

Perform data exploration, feature engineering, model development, and validation.

Select appropriate algorithms, modeling techniques, and evaluation metrics.

Develop reusable modeling frameworks and contribute to best practices within the Data Science CoE.

Extract, transform, and analyze large datasets using SQL and Python.

Work with structured and unstructured data across enterprise data platforms.

Collaborate with data engineering teams to define data pipelines and feature stores.

Deploy machine learning models into production using scalable architectures.

Build APIs, batch pipelines, and real-time inference systems for model consumption.

Implement model monitoring, versioning, retraining pipelines, and lifecycle management practices.

Ensure compliance with model governance, auditability, and enterprise standards.

Define end-to-end ML solution architectures including data pipelines, model training, deployment, and monitoring.

Provide technical guidance and mentorship to junior data scientists.

Translate business requirements into analytical solutions and present insights to stakeholders.

Evaluate and adopt emerging technologies in AI, Generative AI, and Agentic AI frameworks.

Identify opportunities to integrate LLMs and AI-driven automation into analytics solutions.

Required Skills & Expertise

Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

35 years of experience in data science, machine learning, or advanced analytics

Proven experience delivering production-grade machine learning solutions.

Strong programming proficiency in Python.

Strong SQL skills for complex data analysis and transformation.

Experience with data manipulation libraries such as Pandas and NumPy.

Strong foundation in statistics, probability, and machine learning concepts.

Experience with supervised and unsupervised learning techniques.

Strong understanding of model evaluation, validation, and feature engineering.

Experience deploying machine learning models into production environments.

Familiarity with MLOps practices including model monitoring, versioning, and retraining.

Experience building ML APIs or batch inference pipelines.

Strong communication and stakeholder management skills.

Preferred Skills

AI Machine Learning: Supervised & Unsupervised Learning, Model Evaluation, Feature Engineering

Programming & Data: Python, SQL, Pandas, NumPy

Data Science: Statistics, Probability, Data Analysis

MLOps & Deployment: Model Deployment, Monitoring, Versioning, Retraining, ML APIs, Batch & Real-time Inference

Cloud Platforms: AWS, Azure, Google Cloud Platform (preferred)

Emerging AI: Generative AI, LLMs, Agentic AI Frameworks, RAG, Vector Databases

DevOps & Tools: Docker, Kubernetes, CI/CD Pipelines

Why Join Us

Opportunity to work in a Data Science Center of Excellence solving high-impact business problems.

Exposure to end-to-end machine learning lifecycle and production-grade AI systems.

Work with cutting-edge technologies including Generative AI and Agentic AI frameworks.

Collaborative and innovation-driven environment with strong focus on learning and growth.

Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: LatentView
Location(s): Chennai

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[Full Time] Lead Data Science Consultant at Wells Fargo

Wed, 01 Apr 2026 12:00:00 +0530

Job Description
About this role:
Wells Fargo is seeking a Lead Data Science Consultant.
In this role, you will:
Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor
Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
Provide consultation to peers on data science best practices, methods, and tools to leverage
Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels
Required Qualifications:
5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Master''s degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
Experience developing or supporting capacity forecasting, productivity, or workforce optimization models.
Demonstrated understanding of the U.S. home mortgage business and related processes is highly desirable.
Job Expectations:
Own endtoend delivery of analytics solutions, from problem framing and hypothesis development through execution, validation, and business adoption.
Act as a thought partner to stakeholders, proactively translating business needs into analytical approaches and driving alignment between analytics, technology, and business teams.
Design and guide scalable analytics solutions leveraging Python, SQL, cloud platforms, data lake architectures, and federated query technologies to ensure robustness and reusability.
Provide technical leadership and mentorship, setting standards for analytical rigor, best practices, and effective use of data science tools and methodologies.
Communicate insights with clarity and influence, using data storytelling and visualization to enable confident decisionmaking among technical and nontechnical audiences.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Wells Fargo
Location(s): Hyderabad

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[Full Time] Data Scientist at Infosys

Wed, 01 Apr 2026 06:53:55 +0530

Job Description
Data Scientist

Responsibilities
Anchor ML development track in a client project
Data collection, profiling, EDA & data preparation
AI Model development, experimentation, tuning & validation
Present findings to business users & project management teams
Propose ML based solution approaches & estimates for new use cases
Contribute to AI based modules in Infosys solutions development
Explore new advances in AI continuously and execute PoCs
Mentoring Guide junior team members & evangelize AI in organization
Technical skills
Programming: Python, R, SQL
ML algorithms:
Statistical ML algorithms
Deep Neural Network architectures
Model ensembling
Generative AI models
ML for Responsible AI
AI domains - NLP, speech, computer vision, structured data
Learning patterns supervised, unsupervised, reinforcement learning
Tools for data analysis, auto ML, model deployment & scaling, model fine tuning
Knowledge of different Model fine tuning approaches for Large models
Knowledge of datasets, pre-built models available in open community and 3rd party providers
Knowledge of software development & architectures
Knowledge of hyperscalers & their AI capabilities Azure, AWS, GCP
Knowledge of Model Quantization and Pruning
Past experience playing a Data Scientist role
Soft Skills
Good verbal & written communication skills articulate value of AI to business, project managers & other team members
Ability to break complex problem into smaller problems and create hypothesis
Innovation and experimentation
Academic background
Degree in quantitative field mathematics/ statistics/ computer science/ engineering
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Python ML/Data Science Professional at Infosys

Tue, 31 Mar 2026 23:31:19 +0530

Job Description

Educational Requirements
Bachelor of Engineering

Service Line
Data & Analytics Unit

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight.
You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise.
You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design
You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization-s financial guidelines
Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Additional Responsibilities:

Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
Good knowledge on software configuration management systems
Awareness of latest technologies and Industry trends
Logical thinking and problem solving skills along with an ability to collaborate
Understanding of the financial processes for various types of projects and the various pricing models available
Ability to assess the current processes, identify improvement areas and suggest the technology solutions
One or two industry domain knowledge
Client Interfacing skills
Project and Team management

Technical and Professional Requirements:

Primary skills:Technology->Machine learning->data science

Preferred Skills:

Technology->Machine learning->data science

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

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[Full Time] Ey - Gds Consulting - Ai And Data - Data Science- Senior Professional at EY

Tue, 31 Mar 2026 19:39:41 +0530

Job Description
Key Responsibilities:

Data Analysis: Analyze large datasets to extract meaningful insights and support business decisions in banking and insurance operations.

Model Development: Develop and implement predictive models using SAS, R, and Python to address business challenges and improve operational efficiency.

Generative AI Applications: Explore and apply Generative AI techniques to enhance data-driven solutions and create innovative products and services.

Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.

Data Visualization: Create compelling visualizations and reports to communicate findings and recommendations to both technical and non-technical audiences.

Cloud Integration: Utilize Azure services for data storage, processing, and model deployment to ensure scalability and efficiency.

Continuous Learning: Stay updated on industry trends, emerging technologies, and best practices in data science and analytics.

Qualifications:

Education: Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.

Experience: 2-4 years of experience as a Data Scientist, preferably in the banking and insurance sectors.

Technical Skills: Proficiency in SAS, R, and Python for data analysis and modeling.

Generative AI Knowledge: Familiarity with Generative AI concepts and applications.

Cloud Proficiency: Experience with Azure services for data analytics and model deployment.

Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.

Communication Skills: Excellent communication skills, with the ability to present findings clearly and effectively to diverse audiences.

Preferred Skills:

Experience with data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards and reports.

Knowledge of machine learning algorithms and techniques.

Familiarity with data governance and compliance standards in the banking and insurance sectors.

Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Bengaluru

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[Full Time] Analyst-Data Science at American Express

Tue, 31 Mar 2026 16:03:18 +0530

Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express

The AIM (Analytics, Investment & Marketing Enablement) team a part of Global Commercial Service (GCS) Marketing is the analytical engine that enables the GCS business portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. The team delivers consultative and innovative analytical solutions that power profitable business growth across GCS Marketing.

This role will contribute to the development and deployment of advanced analytics and GenAI-driven solutions that support GCS Acquisition, Personalization, Engagement, and US SME distribution efficiency. The primary focus will be building scalable, data-driven models and AI applications that drive measurable business outcomes. This includes enabling real-time targeting, next-best-action decisioning, conversational analytics, automated insights, and productivity-enhancing tools for Marketing and Sales teams.

The role requires strong hands-on technical expertise and the ability to translate business problems into analytical solutions. The individual will work closely with senior team members to prototype, validate, and productionize ML and GenAI use cases within enterprise environments.

The ideal candidate combines strong analytical rigor with solid technical execution skills and a curiosity for emerging AI technologies. This person should be comfortable building models end-to-end, conducting experimentation, and collaborating cross-functionally to deliver measurable impact.

How will you make an impact in this role

Build and implement machine learning models to support targeting, personalization, and engagement optimization across Marketing channels.

Contribute to next-best-action and treatment optimization frameworks using ML and GenAI approaches.

Develop and support GenAI-powered tools (e.g., automated insights, prompt-based workflows, conversational analytics) to enhance marketing productivity and decision-making.

Integrate new behavioral, engagement, and AI-generated signals into existing decisioning and prioritization systems.

Design and execute experiments (A/B testing, test-control frameworks) to measure model effectiveness and business impact.

Partner with Marketing, Sales, Product, and Technology stakeholders to gather requirements and ensure successful implementation.

Support model monitoring, performance tracking, and continuous optimization efforts.

Stay current with emerging ML and GenAI techniques and apply relevant innovations to business problems under guidance of senior team members.

Minimum Qualifications

Master s degree in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, or related discipline) or equivalent practical experience.

Hands-on experience building and deploying machine learning models in production or near-production environments.

Strong proficiency in Python and SQL with experience working on large-scale datasets.

Experience with ML workflows including data preparation, feature engineering, model development, validation, and monitoring.

Exposure to GenAI use cases such as prompt engineering, retrieval-based systems (RAG), or integration of LLM outputs with structured data.

Strong analytical and problem-solving skills with ability to structure business problems into data-driven solutions.

Effective communication skills with ability to present findings clearly to business partners.

Preferred Qualifications

Experience working with modern ML/LLM frameworks (e.g., PyTorch, HuggingFace, LangChain, etc.).

Familiarity with experimentation frameworks, causal inference, or uplift modeling.

Experience in marketing analytics, personalization systems, or decisioning platforms.

Exposure to model deployment pipelines, MLOps practices, or cloud-based ML environments.

Demonstrated ability to manage individual workstreams with accountability and timely delivery

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries

Bonus incentives

Support for financial-well-being and retirement

Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

Generous paid parental leave policies (depending on your location)

Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)

Free and confidential counseling support through our Healthy Minds program

Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] Sr. Associate Data and Analytics Engineer at Pfizer

Tue, 31 Mar 2026 15:52:27 +0530

Job Description
ROLE SUMMARY

Use Your Power for Purpose

At Pfizer, our purpose Breakthroughs that change patients lives drives every decision we make. Digital & Technology accelerates this mission by turning data into insights that power smarter science, stronger operations, and an exceptional colleague experience. Within this organization, the Enabling Functions Creation Center (EFCC) supports HR, Finance, Global Business Services, and Legal with the digital capabilities they need to operate effectively and unlock value.

As a hands on Sr. Associate - Data & Analytics Engineer , you will build innovative data and analytics solutions that strengthen our enterprise data foundation, empower our enabling function partners, and help unleash the power of our people ultimately supporting the breakthroughs that matter most to patients.

ROLE RESPONSIBILITIES

As a hands-on engineer, you will build scalable data pipelines to provide accurate and impactful business analytics and insights

Design and implementation of data architecture and infrastructure.

Implement data management strategies and policies.

Ensure data quality and integrity across all data platforms.

Collaborate with cross-functional teams to align data initiatives with business goals.

Develop and maintain data governance frameworks.

Integrate / utilize new data technologies and tools.

Ensure compliance with data privacy regulations and standards.

Optimize of data processing workflows and pipelines.

Develop of analytics solutions to support business decision-making.

Work with and maintain relationships with external data vendors and partners.

Create and maintain data documentation and metadata.

Develop and monitor key performance indicators for data initiatives.

Ensure the scalability and performance of data systems.

BASIC QUALIFICATIONS

Candidates should possess a BA/BS or MBA/MS/M. Tech with at least 3-5 years of experience, a PhD with any years of experience Data Architecture Design: Designing and structuring modern databases and modern data systems: Advanced

Data Warehousing: Building and managing data warehouses (Preferably Snowflake): Expert

SQL: Advanced querying and database management: Expert

Data pipelines / ETL Processes: Designing and managing modern ETL (Extract, Transform, Load) processes and data engineering pipelines: Expert

Data Integration: Combining and transforming data from different sources: Expert

Cloud Platforms (e. g. , AWS, Azure, Google Cloud): Managing data infrastructure on cloud platforms: Advanced

Big Data Technologies (e. g. , SnowFlake, Data Bricks, Spark): Handling and processing large datasets: Expert

Data Modeling: Creating data models to support analytics: Advanced

Visual Analytics and Business Intelligence Tools: Using BI tools to derive insights from data: Advanced

Data Governance: Implementing policies and procedures for data management: Intermediate

Data Visualization Tools (e. g. , Tableau, Power BI): Creating visual representations of data and data story telling: Advanced

Hands on experience with vibe coding and Generative AI based data pipeline and analytics solutions development to increase efficiency, reduce overall delivery cost and reduce time to market: Intermediate

Programming Languages (e. g. , Python, R): Writing code for data manipulation and analysis: Intermediate

Data Security: Implementing security measures to protect data: Intermediate

Data Quality Management: Ensuring accuracy and consistency of data: Advanced

Statistical Analysis: Applying statistical methods to analyze data: Intermediate

Strategic Thinking: Planning and executing long-term data strategies: Intermediate

Communication: Clearly conveying complex data concepts to stakeholders: Advanced

Problem Solving: Identifying and resolving data-related issues: Advanced

Collaboration: Working effectively with cross-functional teams: Advanced

PREFERRED QUALIFICATIONS

People Analytics experience using SaaS tools such asVisier, One Model, Perceptyx, Workday Prism Analytics, Workday People Analytics, SAP Success Factors Workforce Analytics is a big plus. Familiarity with cloud/SaaS-based Human Capital Management (HCM) systems such as Workday is a big plus.

Experience with Global HR data integration and prior experience with Mergers, Acquisitions, and Divestitures is a plus.

Familiarity with SoX, EU Global Data Privacy Regulations (GDPR) and other related international regulations is nice to have. Prior experience with data architecture designs and data engineering development related to the GDPR and data privacy guiding principles such as data minimization, right to be forgotten, etc is nice to have.

Experience with Software engineering best practices, including but not limited to version control (Git/GitHub, TFS, Subversion, etc. ), CI/CD (Jenkins, Maven, Gradle, etc. ), automated unit testing, Dev Ops is highly beneficial but not required.

Experience with sourcing and modeling data from application APIs and publishing data and analytics services via APIs / Data Services is highly beneficial but not required Experience deploying through an agile methodology and working in a SCRUM or SAFe team is highly beneficial but not required.

6 or more years of experience with one or more general-purpose data processing programming languages, including but not limited to: SQL, Scala, Python, Java, etc

Architected end-to-end data pipelines with a major cloud stack is a plus Experience in Cloud computing, machine learning, text analysis, NLP, and developing and deploying data and analytics services such as recommendation engines experience is a plus

Domain experience in the Human Resources field

Emerging skills:

Machine Learning: Applying machine learning techniques for data analysis: Intermediate

Adaptability: Adjusting to new technologies and methodologies: Intermediate

Critical Thinking: Analyzing data critically to derive insights: Advanced

Time Management: Prioritizing tasks to meet deadlines: Advanced

Decision Making: Making informed decisions based on data insights: Advanced

Work Location Assignment: Hybrid

Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Contract] Power BI Reporting Analyst at Orcapod Consulting

Tue, 31 Mar 2026 13:33:29 +0530

Job Description
Role & responsibilities

Develop and maintain Power BI dashboards and reports for business stakeholders.
Gather reporting requirements and translate them into visual analytics solutions.
Perform data modeling and DAX development to support reporting needs.
Ensure accuracy, performance, and usability of BI reports.
Key Skills:
Strong hands-on experience in Power BI, DAX, and Power Query
Proficiency in SQL and data modeling concepts
Experience integrating Power BI with cloud or enterprise data sources

Preferred candidate profile

NP :Immediate/20days
Period :6 months Contract
Job Classification
Industry: Recruitment / Staffing
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: Orcapod Consulting
Location(s): Hyderabad

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[Full Time] Opening For Power Bi Developer-Pan India at Infosys

Tue, 31 Mar 2026 12:26:23 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power BI Developer at Acuity It Solutions

Tue, 31 Mar 2026 09:46:53 +0530

Job Description
Power BI Developer with 23 yrs experience in dashboard development. Strong in DAX, SQL, data modeling & performance tuning. Responsible for building executive dashboards, data validation & multi-source integration for analytics.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Acuity It Solutions
Location(s): Hyderabad

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[Full Time] Senior Power Bi Developer-SQL & Data Modeling at Infosys

Tue, 31 Mar 2026 09:21:24 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Tue, 31 Mar 2026 06:46:11 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Manager, Data and Analytics Engineer at Pfizer

Tue, 31 Mar 2026 05:55:25 +0530

Job Description
ROLE SUMMARY

Use Your Power for Purpose

At Pfizer, our purpose Breakthroughs that change patients lives drives every decision we make. Digital & Technology accelerates this mission by turning data into insights that power smarter science, stronger operations, and an exceptional colleague experience. Within this organization, the Enabling Functions Creation Center (EFCC) supports HR, Finance, Global Business Services, and Legal with the digital capabilities they need to operate effectively and unlock value.

As a hands on Manager - Data & Analytics Engineer , you will lead and build innovative data solutions that strengthen our enterprise data foundation, empower our enabling function partners, and help unleash the power of our people ultimately supporting the breakthroughs that matter most to patients.

ROLE RESPONSIBILITIES

As a hands-on engineer, you will build scalable data pipelines to provide accurate and impactful business analytics and insights

Design and implementation of data architecture and infrastructure.

Lead the development of data management strategies and policies.

Manage a team of project data engineers and analysts, providing guidance and mentorship.

Ensure data quality and integrity across all data platforms.

Collaborate with cross-functional teams to align data initiatives with business goals.

Develop and maintain data governance frameworks.

Oversee the integration of new data technologies and tools.

Ensure compliance with data privacy regulations and standards.

Drive the optimization of data processing workflows and pipelines.

Lead the development of analytics solutions to support business decision-making.

Manage relationships with external data vendors and partners.

Oversee the creation and maintenance of data documentation and metadata.

Develop and monitor key performance indicators for data initiatives.

Ensure the scalability and performance of data systems.

BASIC QUALIFICATION

Candidates should possess a Bachelors or MBA/MS/M. Tech with at least 5-10 years of relevant experience, a PhD with any years of relevant experience

Data Architecture Design: Designing and structuring modern databases and modern data systems: Expert

Data Warehousing: Building and managing data warehouses (Preferably Snowflake): Expert

SQL: Advanced querying and database management: Expert

Data pipelines / ETL Processes: Designing and managing modern ETL (Extract, Transform, Load) processes and data engineering pipelines: Expert

Data Integration: Combining and transforming data from different sources: Expert

Cloud Platforms (e. g. , AWS, Azure, Google Cloud): Managing data infrastructure on cloud platforms: Advanced

Big Data Technologies (e. g. , SnowFlake, Data Bricks, Spark): Handling and processing large datasets: Advanced

Data Modeling: Creating data models to support analytics: Advanced

Visual Analytics and Business Intelligence Tools: Using BI tools to derive insights from data: Advanced

Product Roadmap: Own and manage data and analytics product roadmap and lifecycle

Data Governance: Implementing policies and procedures for data management: Advanced

Data Visualization Tools (e. g. , Tableau, Power BI): Creating visual representations of data and data story telling: Advanced

Hands on experience with vibe coding and Generative AI based data pipeline and analytics solutions development to increase efficiency, reduce overall delivery cost and reduce time to market.

Programming Languages (e. g. , Python, R): Writing code for data manipulation and analysis: Expert

Data Security: Implementing security measures to protect data: Intermediate

Data Quality Management: Ensuring accuracy and consistency of data: Advanced

Statistical Analysis: Applying statistical methods to analyze data: Intermediate

Leadership: Guiding and motivating a team to achieve goals: Expert

Strategic Thinking: Planning and executing long-term data strategies: Expert

Communication: Clearly conveying complex data concepts to stakeholders: Advanced

Problem Solving: Identifying and resolving data-related issues: Advanced

Collaboration: Working effectively with cross-functional teams: Advanced

PREFERRED QUALIFICATIONS

People Analytics experience using SaaS tools such as Visier, One Model, Perceptyx, Workday Prism Analytics, Workday People Analytics, SAP Success Factors Workforce Analytics is a big plus. Familiarity with cloud/SaaS-based Human Capital Management (HCM) systems such as Workday is a big plus.

Experience with Global HR data integration and prior experience with Mergers, Acquisitions, and Divestitures is a plus.

Familiarity with SoX, EU Global Data Privacy Regulations (GDPR) and other related international regulations is nice to have. Prior experience with data architecture designs and data engineering development related to the GDPR and data privacy guiding principles such as data minimization, right to be forgotten, etc is nice to have.

Experience with Software engineering best practices, including but not limited to version control (Git/GitHub, TFS, Subversion, etc. ), CI/CD (Jenkins, Maven, Gradle, etc. ), automated unit testing, Dev Ops is highly beneficial but not required.

Experience with sourcing and modeling data from application APIs and publishing data and analytics services via APIs / Data Services is highly beneficial but not required Experience deploying through an agile methodology and working in a SCRUM or SAFe team is highly beneficial but not required.

6 or more years of experience with one or more general-purpose data processing programming languages, including but not limited to: SQL, Scala, Python, Java, etc

Architected end-to-end data pipelines with a major cloud stack is a plus Experience in Cloud computing, machine learning, text analysis, NLP, and developing and deploying data and analytics services such as recommendation engines experience is a plus

Domain experience in the Human Resources field

Emerging skills:

Machine Learning: Applying machine learning techniques for data analysis: Intermediate

Adaptability: Adjusting to new technologies and methodologies: Intermediate

Critical Thinking: Analyzing data critically to derive insights: Advanced

Time Management: Prioritizing tasks to meet deadlines: Advanced

Decision Making: Making informed decisions based on data insights: Advanced

Work Location Assignment: Hybrid

Information & Business Tech
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Mumbai

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[Full Time] Sr Analyst, Data Science at Project44

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Why project44

At project44, we believe in better.

We challenge the status quo because we know a better supply chain isn t just possible it s essential. Better for our customers. Better for their business. Better for the world.

With our Decision Intelligence Platform,
Movement
, we re redefining how global supply chains operate. By transforming fragmented logistics data into real-time, AI-powered insights, we empower companies to connect instantly, see clearly, act decisively, and automate intelligently. Our Supply Chain AI enhances visibility, drives smarter execution, and unlocks next-gen applications that keep businesses moving forward.

Headquartered in Chicago, IL with a 2nd HQ in Bengaluru, India we are powered by a diverse global team that is tackling the toughest logistics challenges with innovation, urgency, and purpose.

If you re driven to solve meaningful problems, leverage AI to scale rapidly, drive impact daily, and be part of a high-performance team we should talk.

Description:

project44 is looking for a Sr Analyst, Data Science to join our engineering team. You will work in a fast-paced Agile environment designing, building, and implementing best-in-class integrations to accelerate how project44 connects to the world s logistics networks.

About the Role

We are looking for a Senior Product Analyst, Data Science, to drive analytics for ML-powered products at project44.

This role sits at the intersection of Product, Data Science, and Operations, with a mandate to define how ML systems are measured, evaluated, and improved in production. You will own the analytical frameworks that connect model performance to product outcomes, ensuring our AI capabilities deliver measurable business impact.

You will work on ambiguous, high-impact problems, designing experiments, evaluating models (offline and online), and shaping product strategy through data. This is not a reporting role. You are expected to operate as a thought partner to Product and Data Science, influencing decisions and driving outcomes.

As analytics evolves, this role will focus on building AI-native and agent-driven analytics systems, including semantic layers, data contexts, and automated insight generation. You will help define how analytics is consumed in an environment where agents, not just dashboards, drive decisions.

What You ll Do

Own Product & ML Measurement

Define and operationalize success metrics across product and ML systems, including north-star metrics, product KPIs, and model-level evaluation frameworks.

Drive Model Evaluation & Feedback Loops

Evaluate model performance using offline and online metrics (e.g., precision/recall, lift, latency, adoption) and establish feedback loops to continuously improve models in production.

Translate Product Problems into Analytical Frameworks

Break down ambiguous product and operational problems into structured analyses that drive clear, actionable decisions.

Partner Across Product & Data Science

Work closely with Product Managers and Data Scientists to shape roadmaps, guide prioritization, and ensure alignment between model performance and user impact.

Build Scalable Analytics Foundations

Develop reusable datasets (SSOTs, data marts) and enable self-serve analytics across teams.

Build AI-Native Analytics Systems

Design and develop semantic layers, data models, and context systems that enable agent-driven analytics. Build and operationalize workflows where agents autonomously generate insights, monitor performance, and surface recommendations on a recurring basis.

Design Agent-Driven Analytics Workflows

Design and implement agent-driven analytics workflows where insights are generated, monitored, and delivered autonomously using LLMs and modern AI tooling.

What We re Looking For

4 6+ years in Product Analytics, Data Science, or related roles, with experience supporting data-driven product decisions.

Analytical & Statistical Expertise

Strong foundation in statistics and experimentation, including hypothesis testing, A/B testing, and causal inference.

Technical Skills

Proficiency in SQL and Python, with experience working with large-scale, event-level datasets and modern data platforms.

ML Product Understanding

Experience defining and analyzing model performance metrics and understanding trade-offs between offline and online evaluation.

Cross-Functional Collaboration

Proven ability to work closely with Product and Data Science teams to drive outcomes.

Communication & Influence

Ability to clearly communicate complex analyses and influence stakeholders across technical and non-technical audiences.

Preferred Skills

Experience working on ML-powered products or data platforms

Familiarity with model evaluation concepts (precision/recall, ROC, calibration, bias/variance)

Experience analyzing online vs offline performance and feedback loops

Familiarity with modern data stack (dbt, Snowflake/BigQuery, event tracking, feature stores)

Experience with predictive modeling or close collaboration with Data Science teams

Hands-on experience using AI tools (LLMs, copilots) in analytical workflows

Experience building or working with agent-based or AI-native analytics workflows

Familiarity with semantic layers, metrics layers, or data context systems

Experience using LLMs for automated analysis, insight generation, or decision support

Strong product and business intuition

What Success Looks Like (6 12 Months)

Establish clear measurement frameworks for assigned ML-powered products

Improve visibility into model performance and diagnostics (offline and online)

Deliver actionable insights that influence product roadmap decisions for assigned products

Build scalable datasets and frameworks that enable self-serve analytics

Enable tighter feedback loops between Product, Data Science, and real-world outcomes

Job Classification
Industry: Software Product
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Project44
Location(s): Bengaluru

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[Full Time] Data Science Analytics Specialist - Data Science at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

About The Role

Skill required: Data Scientist - Predictive Modeling and Analytics

Designation: Data Science Analytics Specialist - Data Science

Qualifications:Any Graduation

Years of Experience:Experienced
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do?
You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

What are we looking for?
Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Data BA ( Business Analytics ) at Capgemini

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Your Role

Use design thinking and a consultative approach to define innovative data solutions for business problems. Act as a business analyst/data business analyst on data projects. Participate in requirements gathering, functional specification definition, and scope management. Document detailed business requirements and develop solution designs.Support and coordinate system implementations through the full project lifecycle (initiation to handover).

Elicit requirements using interviews, workshops, surveys, and workflow analysis. Understand and build BI dashboards and gather insights to improve business decision making. Work closely with solution architects to define target solutions. engage in activities across the data lifecycle, including Building and managing business data lakes and ingesting data streams. AI transformation support through use case creation and other initiatives.

Supporting development of machine learning and predictive models. Designing and visualizing data for self-service BI. Contribute to delivery, innovation, pre-sales, and center of excellence initiatives. Understanding of data privacy regulations (GDPR, CCPA) and enterprise data governance principles to ensure compliance in analytics and reporting.

Experience in defining KPIs, metrics, and dashboards to measure the business impact of data initiatives and track ROI of analytics projects. Ability to work with Product, IT, Data Engineering, and Business teams to ensure alignment between technical and business priorities. Exposure to emerging technologies such as Generative AI, NLP, or IoT analytics and ability to recommend innovative solutions for business challenges. Willingness to mentor junior analysts or team members and contribute to building a knowledge-sharing culture within the data practice

Your Profile

Proven experience as a Data Business Analyst or BA with strong data background (5 to 10+ years of total experience). Hands-on knowledge of SQL for data extraction and validation, BI tools such as Power BI, Tableau, Qlik. Advanced Excel and presentation skills (PowerPoint). Hands-on exposure to / Knowledge about one of the cloud ecosystems Google / AWS/ Azure

The candidate should have domain knowledge across multiple industries such as FMCG/CPG, Retail, Financial Services, Manufacturing & Automotive, Life Sciences & Healthcare, Sustainability, Gen-AI, Utilities, Telecom, Media & Technology, and Public Sector. Ability to prepare functional analysis, user stories, and technical documentation (BRD, FSD, NFR).

Strong understanding of Agile/SCRUM and SDLC methodologies. Experience with JIRA/Confluence and backlog management. Excellent stakeholder management and communication skills. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Adept at queries, report writing and presenting findings. Consultants are expected to be flexible to the dynamically changing needs of the industry. Must have good exposure to Database management systems

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Mumbai

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[Full Time] S&c Global Network - Ai - Cmt - Consultant Data Science at Accenture

Mon, 30 Mar 2026 12:00:00 +0530

Job Description
Job Title - S&C Global Network - AI - CMT - Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills:CMT Analytics
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job
Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.
Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.
Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem.
Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.
Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.
Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints.
Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
Should be able to travel or relocate to Japan as per business requirement.

Professional & Technical
Skills:
- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Demonstrated experience in solving real-world data problems through Data & AI
Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.
Execution level understanding of econometric/statistical modeling packages
Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.
Knowledge of Deep learning modeling techniques like RNN, CNN etc.
Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI
Proficient in Excel, MS word, Power point, and corporate soft skills
Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc.
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.
Strong analytical, problem-solving skills and good communication skills
Self-Starter with ability to work independently across multiple projects and set priorities
Strong team player Proactive and solution oriented, able to guide junior team members.
Execution knowledge of optimization techniques is a good-to-have
Exact optimization Linear, Non-linear optimization techniques
Evolutionary optimization Both population and search-based algorithms
Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | AccentureQualification Experience: 8-10Years
Educational Qualification: Any Degree
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] GEN AI Developer at Infosys

Mon, 30 Mar 2026 12:00:00 +0530

Job Description

Job Title

Gen AI Senior Lead
No of years Experience (Developer/lead)

More than 9 Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies.
Technology

Gen AI Technologies: Prompt Engineering, LLM Development using Langchain. Semantic Kernel , Open Source/ API based LLMs
AIML Subfields such as Neural Networks, Computer Vision, Speech Processing, Natural Language Processing.
AIML Tools such as AzureML, Google ML, AWS AI/ML, H2O, DataBricks, DataRobots and any other tools
Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures.
Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling.
Exposure to both API based and opens source LLMs based solution design
Key Skills

Technical Proficiency: An overall understanding of below technologies is required :
Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks
Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras
Cloud computing platforms: AWS, Azure, GCP
Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings
Computer vision: Convolutional neural networks, recurrent neural networks, object detection
Robotics: Reinforcement learning, motion planning, control systems
Data ethics: Bias in machine learning, fairness in algorithms
Responsible AI: Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.
Solution Design: Ability to design end-to-end AI solutions, from requirement elicitation and model selection to deployment strategy. Experience in crafting architectures that encompass data preprocessing, model integration, and performance optimization.
Communication Skills: Excellent verbal and written communication skills to engage with clients, articulate technical concepts to non-technical stakeholders, and work collaboratively with cross-functional teams.
Secondary Skill Set:
Domain Knowledge: Familiarity with the industry domains in which the AI solutions will be applied. This includes understanding the specific challenges and requirements of different sectors such as healthcare, finance, or manufacturing.
Project Management: Basic project management skills to oversee project timelines, milestones, and deliverables. Experience in coordinating with internal teams and clients to ensure project success.
Data Understanding: A foundational grasp of data preprocessing, feature engineering, and data quality assurance processes. This aids in understanding the data requirements of AI models.
Roles and Responsibilities

Client Interaction: Collaborate with client business teams to elicit project requirements and comprehend the desired outcomes. Translate client needs into technical requirements and AI solution designs.
Solution Design: Create comprehensive AI solution designs that address client objectives. Define the architecture, model selection, and data requirements to ensure successful project execution.
Metrics Definition: Work closely with clients to define and agree upon measurable metrics that align with business goals. Ensure that the AI solution's performance is evaluated against these metrics.
Technical Implementation: Provide guidance to internal teams on implementing the defined AI solution. Collaborate with data scientists and engineers to integrate the solution effectively.
Performance Monitoring: Establish mechanisms to monitor and assess the performance of deployed AI models. Make recommendations for improvements based on observed outcomes.
Client Collaboration: Act as a liaison between the client and internal teams, maintaining effective communication throughout the project lifecycle. Provide regular updates and address any concerns or queries from clients.
Knowledge Sharing: Stay up-to-date with the latest developments in Generative AI and related technologies. Share insights with clients and internal teams to enhance solution designs and approaches.
Documentation: Prepare detailed documentation of solution designs, technical specifications, and project progress. Ensure that documentation is clear, concise, and accessible to relevant stakeholders.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Contract] Product Data Management - 6 month contract at eClerx

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Job Description:
Personiv an eClerx company is hiring a Product Data Management Retainer who will work within our Product Data Management team to help our customers enhance online product data quality for technical products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customers website taxonomy and navigation.
Roles and responsibilities:
Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc.
Data quality check and correction
Data profiling and reporting (basic)
Email communication with the client on request acknowledgment, project status and response on queries
Help customers in enhancing their product data quality from the technical specification and description perspective
Provide technical consulting to the customer category managers around the industry best practices of product data enhancement
Technical and Functional Skills:
Any Bachelors Degree
Intermediate knowledge of MS Office/Internet.
Experience Required: 0-1 year
Location : Dell Technologies (Domlur): Crystal Downs, Embassy GolfLinks Business Park, Inner Ring Road, Domlur, Bangalore - 560071
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: eClerx
Location(s): Bengaluru

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[Full Time] Senior Analyst/Data Scientist-GenAI at Tiger Analytics

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities

As a Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.
Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.
Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.
Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results.
Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.
Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.
Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.
What do we expect?
Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.
Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.
AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.
Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.
Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Senior Analyst - Data Science & AI at LatentView

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Job Summary

We are seeking highly motivated AI Engineers with a forward-deployed mindset to design, build, and scale end-to-end AI and Generative AI solutions in dynamic product and service environments. The role operates at the intersection of applied data science, AI/ML engineering, and full-stack software development, translating complex business problems into production-ready AI systems.

You will work closely with stakeholders to build intelligent applications using modern Agentic AI frameworks, foundation model fine-tuning, and cloud data platforms, helping enterprises transition from traditional analytics to AI-driven operations.

Key Responsibilities

Develop and deploy scalable AI/ML and Generative AI solutions from data exploration and prototyping to full production deployment.

Design and implement Agentic AI workflows and multi-agent systems using modern frameworks to solve complex business problems.

Analyze complex datasets using strong data science methodologies to extract insights and ensure data quality and model performance.

Fine-tune foundation models (LLMs/SLMs) using techniques such as LoRA and QLoRA to meet domain and client-specific requirements.

Develop APIs, backend services, and intuitive user interfaces to integrate AI capabilities into production-grade applications.

Deploy, scale, and maintain ML pipelines and AI applications on enterprise platforms such as Databricks, AWS, Azure, or GCP.

Collaborate closely with cross-functional teams and clients to understand requirements, guide solution design, and drive adoption of AI solutions.

Required Skills & Expertise

25 years of hands-on experience in AI/ML engineering, data science, or full-stack software development with a focus on applied AI.

Strong programming proficiency in Python for machine learning and data engineering.

Experience with JavaScript or TypeScript for application development.

Practical experience building LLM-powered applications, working with vector databases, and implementing Agentic AI frameworks such as LangGraph, CrewAI, or AutoGen.

Strong understanding of statistics, exploratory data analysis (EDA), and machine learning algorithms.

Experience deploying solutions on cloud platforms such as AWS, Azure, GCP, or Databricks.

Exposure to containerization and MLOps tools including Docker, Kubernetes, CI/CD pipelines, and MLflow.

Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Skills

AI Generative AI : PyTorch, Hugging Face, Agentic Frameworks (LangGraph, CrewAI, Semantic Kernel), LLM Fine-Tuning (LoRA, QLoRA, Unsloth), Vector Databases (Pinecone, Milvus, Weaviate)

Data Science : Pandas, NumPy, Scikit-learn, Statistical Analysis, Feature Engineering

Software Development : Python, Node.js, React, FastAPI, Flask, REST APIs, GraphQL APIs

Cloud & MLOps : Databricks, AWS, Azure, GCP, MLflow, Docker, Kubernetes, CI/CD

SQL, Git, Agile methodologies, strong client-facing communication

Why Join Us

Opportunity to work on automotive-focused data science projects with global OEMs and Tier-1 suppliers.

Be part of a team driving innovation in risk and finance modeling for the automotive sector.

A growth-oriented culture with continuous learning and exposure to cutting-edge AI & analytics.

Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: LatentView
Location(s): Bengaluru

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[Full Time] Computer Vision Engineer(5-10 YEARS)-H at Infosys

Fri, 27 Mar 2026 12:00:00 +0530

Job Description
Infosys Hirings for COMPUTER VISION

EXPERIENCE: 5-10 YEARS

LOCATION: PAN INDIA

SKILLS REQUIRED: Computer Vision, OpenCV, NLP, YOLO, NLP, CNN, Deep Learning
EDUCATION: BTECH/BE/MTECH/ME/BSC/MSC/BCA/MCA
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Hiring For Senior Data Scientist at EY

Thu, 26 Mar 2026 12:00:00 +0530

Job Description
Job Description: Senior Data Scientist

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 5 - 8 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
Your technical responsibilities:

Contribute to the design and implementation of state-of-the-art AI solutions.
Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
Collaborate with stakeholders to identify business opportunities and define AI project goals.
Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
Ensure compliance with data privacy, security, and ethical considerations in AI applications.
Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
Minimum 4-7 years of experience in Data Science and Machine Learning.
In-depth knowledge of machine learning, deep learning, and generative AI techniques.
Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
Familiarity with computer vision techniques for image recognition, object detection, or image generation.
Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
Expertise in data engineering, including data curation, cleaning, and preprocessing.
Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
Understanding of data privacy, security, and ethical considerations in AI applications.
Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
Implement CI/CD pipelines for streamlined model deployment and scaling processes.
Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
Implement monitoring and logging tools to ensure AI model performance and reliability.
Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: EY
Location(s): Hyderabad

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[Full Time] Data Platform Architect at Virtusa

Thu, 26 Mar 2026 12:00:00 +0530

Job Description
We are looking for a Data Platform Architect to design and lead our modern data platform. You will build scalable, secure, and reliable data solutions that support analytics, reporting, and AI initiatives.

Responsibilities

Design endtoend data architecture (ingestion, storage, processing, consumption).
Build cloud-based data platforms (Azure, AWS, or GCP).
Define data models, pipelines, and integration patterns.
Ensure data security, governance, and compliance.
Optimize platform performance and cost.
Work closely with data engineers, analysts, and business teams.
Required Skills

8+ years in data engineering or data architecture.
Strong experience with cloud data services (Azure/AWS/GCP).
Proficiency in SQL, Spark, Databricks, and data pipeline design.
Knowledge of data modeling (dimensional, Data Vault, lakehouse).
Experience with DevOps and Infrastructure-as-Code (Terraform/Bicep).

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Virtusa
Location(s): Hyderabad

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[Full Time] Data Science Assoc Analyst at Pepsico

Thu, 26 Mar 2026 12:00:00 +0530

Job Description
Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities
Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
Active contributor to code & development in projects and services
Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
Partner with ML engineers working on industrialization.
Communicate with business stakeholders in the process of service design, training and knowledge transfer.
Support large-scale experimentation and build data-driven models.
Refine requirements into modelling problems.
Influence product teams through data-based recommendations.
Research in state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create reusable packages or libraries.
Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
Automate ML models deployments

Qualifications
BE/B.Tech in Computer Science, Maths, technical fields.
Overall 2-4 years of experience working as a Data Scientist.
2+ years experience building solutions in the commercial or in the supply chain space.
2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
Fluent in SQL syntaxis.
2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
Cloud (Azure) Experience in Databricks and ADF is desirable
Familiarity with Spark, Hive, Pig is an added advantage
Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
Experience with Agile methodology for team work and analytics product creation.
Experience in Reinforcement Learning is a plus.
Experience in Simulation and Optimization problems in any space is a plus.
Experience with Bayesian methods is a plus.
Experience with Causal inference is a plus.
Experience with NLP is a plus.
Experience with Responsible AI is a plus.
Experience with distributed machine learning is a plus
Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
Model deployment experience is a plus
Experience with version control systems like GitHub and CI/CD tools
Experience in Exploratory data Analysis
Knowledge of ML Ops / DevOps and deploying ML models is preferred
Experience using MLFlow, Kubeflow etc. will be preferred
Experience executing and contributing to ML OPS automation infrastructure is good to have
Exceptional analytical and problem-solving skills
Stakeholder engagement-BU, Vendors.
Experience building statistical models in the Retail or Supply chain space is a plus
Job Classification
Industry: Beverage
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Pepsico
Location(s): Hyderabad

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[Full Time] Power Bi Developer - (Female Candidates) at Infosys

Thu, 26 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Analyst-Data Science at American Express

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Model Risk Management Group (MRMG) within Global Risk and Compliance Group, is responsible for the independent risk management of all American Express (AXP) models.

Purpose of the Role:

The successful candidate will be responsible for managing and controlling model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.

The specific responsibilities include:

Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.

Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards

Conduct research to explore opportunities to elevate model excellence and drive business impact

Communicating results to partners, senior leadership and various model committees

Critical Factors to Success:

1.Business Outcomes:

Effectively challenge the conceptual soundness, theory and approach, purpose/usages of predictive models

Maximize business returns by institutionalizing efficient and accurate models.

Innovate modeling techniques and variable creation

Ensure modeling accuracy and enhance modeling efficiency in existing processes using Machine Learning

2. Leadership Outcomes:

Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.

Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

Demonstrate learning agility, make decisions quickly and with the highest level of integrity

Lead with a digital mindset and deliver the world s best customer experiences every day

Past Experience:

0-4 years experience in analytics or big data workstreams

Academic Background:

MBA, master s degree in economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

Hands-on model development or validation experience.

Strong Analytical and Relationship and project management skills for driving validation initiatives.

Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.

Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.

Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.

Effectively communicating complex Analytical results to Business Partners and Senior Management.

Flexibility and Adaptability to Work Within tight deadlines and changing priorities.

Technical Skills/Capabilities:

Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have. Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms

Behavioral Skills/Capabilities:

Enterprise Leadership Behaviors

Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] Data Scientist + Machine Learning (5-10 Years) at Infosys

Wed, 25 Mar 2026 12:00:00 +0530

Job Description
Infosys Hiring for Data Scientist + Machine Learning Engineer

Experience:5-10 Years

Skills Required: Data science,Machine learning, Python

Location: Pan India

Education: BTech/BE, MTech/ME, BSc/MSc, BCA/MCA
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Senior Analyst - Data Science at LatentView

Tue, 24 Mar 2026 12:00:00 +0530

Job Description
We are seeking a Senior Analyst DataScience with 3 - 8 years of experience in data science and machine learning.

Responsibilities:

Partner with stakeholders to translatecomplex business requirements into Machine Learning problem statements.

Work with cross-functional teams toensure data availability, quality, and accessibility.

Design, build, and deploy scalableMachine Learning and Deep Learning models, particularly for heavily imbalanceddatasets.

Collaborate with the MLOps team todevelop robust data pipelines and ensure seamless model integration.

Present findings and insights to seniorstakeholders in a clear, business-friendly manner.

Mentor and guide junior analysts, helpingcultivate a strong data-driven culture within the team.

Skills:

3 - 8 years of experience in data scienceand machine learning.

Highly proficient in SQL for datapreparation and manipulation.

Highly proficient in Python and indeveloping and deploying Machine Learning and Deep Learning models.

Ability to interpret model outputs andtranslate data into actionable business strategies.

Excellent communication and interpersonalskills to work across functions and present to diverse stakeholders.

Bachelor's or masters degree in computerscience, Statistics, Mathematics, or a related quantitative field.

SQL, Python, Statistics, MachineLearning, Data Science, Strong communication skills

AWS Sagemaker, MLOps, Git, Feedzai,Experience in Fin Tech

Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: LatentView
Location(s): Chennai

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[Contract] Bootcamp For DATA Engineer at People Tech

Tue, 24 Mar 2026 12:00:00 +0530

Job Description
Kickstart Your Career with an Upskilling Program!
Location: Bengaluru
Duration: 4 Weeks
Mode: 5 Days/Week (In-Office)
Joining: Immediate Joiners OnlyExperience: 2+ Years
About the Program:
This is an intensive Data Engineer Upskilling Bootcamp designed to help you gain real-world, hands-on experience and industry-ready skills.
Perfect for candidates looking to accelerate their data engineering career. If interested, please share updated resume.

What Youll Learn:
Build scalable data pipelines
Work with large datasets using PySpark
Develop real-world data engineering solutions
Hands-on exposure to cloud-based data systems (AWS)
Industry best practices & project experience
Required Skills:
Data Engineering Fundamentals
Python Programming
PySpark
AWS

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: People Tech
Location(s): Bengaluru

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[Full Time] Power Bi Architect at Tata Consultancy

Mon, 23 Mar 2026 12:00:00 +0530

Job Description
Job Title: Power BI Architect
Experience: 4-15 years

Job Summary: An experienced Power BI Architect to design, develop, and maintain enterprise-grade business intelligence solutions using Power BI. This role involves architecting data models, building scalable reporting frameworks, and ensuring highquality analytics delivery across the organization. Power BI Architects work closely with business and technical teams to understand requirements, translate them into BI strategies, and create robust dashboards, reports, and semantic data models. They lead data integration efforts, ensure data governance and security, optimize performance, and mentor BI developers to elevate the organizations analytics capabilities.
Responsibilities:
Lead the design, development, and deployment of enterprisegrade Power BI dashboards, reports, and data models.
Define architectural strategies ensuring scalability, reliability, and performance of BI solutions.
Build robust semantic data models, including star schemas, relationships, partitions, and DAX calculations.
Implement data integration and transformation pipelines using Power Query, SQL, ETL tools, and Azure data services.
Establish and enforce data governance, data validation standards, and security models (row/object-level security).
Ensure adherence to best practices for modeling, visualization, and performance tuning.
Work with cross-functional stakeholders to gather business requirements and translate them into technical BI solutions.
Partner with engineering, analytics, and business teams to align BI architecture with organizational goals.
Optimize queries, DAX expressions, refresh strategies, and dataset structures for maximum performance.
Conduct quality checks, troubleshoot issues, and ensure reliability of BI platforms and reports.
Stay updated on new Power BI features, industry trends, and modern BI practices to recommend improvements.
Evaluate emerging technologies that can enhance enterprise analytics capabilities.
Required Skills:
Deep handson experience with Power BI Desktop and Power BI Service, including report/dashboard design and data modeling.
Strong command of DAX and Power Query (M language) for building calculations, transformations, and optimized data models.
Expertise in designing star/snowflake schemas, semantic models, tabular models, and optimizing data structures for analytics performance.
Strong understanding of data warehousing concepts, including partitioning, indexing, relationships, and storage modes.
Ability to define BI architecture standards, implement data governance, ensure data integrity, and enforce security best practices (e.g., rowlevel/objectlevel security).
Capacity planning, selfservice BI governance, and workspace/dataflow management.
Skilled in optimizing DAX calculations, refresh strategies, data models, and Power BI capacity performance.
Experience integrating Power BI with external applications, embedded analytics, APIs, and automation workflows.
Familiarity with PowerShell, REST APIs, or infrastructure automation is a plus.
Ability to assess complex data scenarios, troubleshoot BI issues, and design effective analytical solutions.
Preferred Skills:
Power BI/Fabric Certifications: Relevant certifications, such as Power BI/Fabric Data Analyst.
Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
Experience with big data technologies, such as Hadoop, Spark, or NoSQL databases.
Experience with data governance, data security, and data compliance

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Chennai

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[Full Time] Advanced Data Science Consultant at ZS

Mon, 23 Mar 2026 12:00:00 +0530

Job Description
What you'll do:
Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problemsCollaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner;Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilitiesLead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings;Evaluate emerging datasets and technologies and help define our analytic platform;Own development of select assets/accelerators that create scale;Contribute to thought leadership through research and publications;Guide and manage project teams of Associates/Associate Consultants.
What youll bring:
Bachelors degree in computer science, Information Technology, or a related field (or equivalent work experience).6 -9 years of relevant experience
Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics
Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.);
Relevant programming background (e.g. Python/ R);
Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms);
Team management and skill development experience;
Agile project planning and project management experience preferred;
Excellent oral and written communication skills;
Strong attention to detail, with a research-focused mindset;
Excellent critical thinking and problem-solving skills;
High motivation, good work ethic and maturity.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

Location - Bengaluru,Pune,Gurugram,Noida
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ZS
Location(s): Pune

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[Full Time] Data Engineer (Data Science / Data extraction) at Luxoft

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Project Description:We're looking for a Data Engineer with hands on experience in graph databases to design, build, and optimize data pipelines and knowledge graph solutions that power advanced analytics and discovery. You'll collaborate with data scientists, platform engineers, and product teams to model complex domains, integrate heterogeneous sources, and deliver queryable, scalable graph data products.
Responsibilities: Graph Data Modeling & Design
o Design and implement property graphs and RDF/OWL-based knowledge graphs.
o Develop schemas/ontologies, entity resolution and lineage strategies; define best practices for graph modeling, naming, and versioning.
Data Engineering & Integration
o Build and maintain ETL/ELT pipelines to ingest, cleanse, transform, and load data into graph stores from APIs, files, RDBMS, event streams.
o Implement batch and streaming integrations using tools such as Airflow, dbt, Kafka/Kinesis, Spark/Flink.
o Optimize data quality, deduplication, key management, and incremental upserts into graphs.
Querying & APIs
o Write advanced queries in Cypher, Gremlin, and/or SPARQL; tune queries and indexes for performance.
o Expose graph capabilities via APIs/services (REST/GraphQL/GRANDstack) with robust governance, observability and caching.
Performance, Reliability & Security
o Capacity planning, clustering, backups, and high availability for graph databases.
o Monitoring/alerting (e.g., Prometheus/Grafana, CloudWatch), profiling and query plan analysis.
o Apply security best practices: encryption, RBAC/ABAC, least privilege, secrets management, and data masking/Pii handling.
MLOps/Analytics Enablement (nice if applicable)
o Support downstream analytics and graph algorithms (PageRank, community detection, embeddings) and integrate with ML pipelines.
DevOps & SDLC
o Infrastructure-as-Code (Terraform, Bicep, CloudFormation), containerization (Docker, Kubernetes), and CI/CD for data/infra.
o Documentation, code reviews, and contribution to data governance (catalogs, lineage, metadata).
Mandatory Skills:
AWS
GraphQL
Mandatory Skills Description: Experience: 6 years in Data Engineering (or similar) with 2+ years focused on graph databases (property graph and/or RDF).
Graph DBs: Hands-on with at least one of:
o Property Graph: Neo4j, AWS Neptune (Gremlin/Cypher).
o RDF Triple Stores: Ontotext GraphDB, Apache Jena/Fuseki, Blazegraph, Stardog, Neptune (RDF).
Query Languages: Strong in Cypher and/or Gremlin; SPARQL if working with RDF/OWL.
Data Pipelines: Proficient with Airflow (or similar), Kafka/Kinesis, Spark or Flink; building robust ETL/ELT at scale.
Programming: Python (dataframes, APIs, CLI tooling); solid testing practices (pytest/pytest-bdd).
Cloud: Experience with AWS managed graph/datastores, storage, compute, and networking basics.
Performance & Ops: Indexing, memory/GC tuning, query plan analysis, partitioning/sharding concepts, HA/DR, backup/restore.
Security & Governance: Secrets management, IAM, network isolation, PII compliance; familiarity with data catalog/lineage tools.
Communication: Ability to translate domain knowledge into graph models and explain trade-offs to non technical stakeholders.
Nice-to-Have Skills Description: Knowledge Graphs & Semantics: RDFS, SHACL, ontology engineering, reasoning/inference, vocabulary alignment (SKOS).
Graph Algorithms & Embeddings: Neo4j Graph Data Science, NetworkX, PyTorch Geometric, vector DB integration.
Graph + Search: Integration with Elasticsearch/OpenSearch, hybrid search (BM25 + embeddings).
Data Modeling: Experience migrating from relational to graph; CDC patterns (Debezium), event-driven architectures.
Observability: OpenTelemetry, tracing for data services; data quality frameworks (Great Expectations).
Delivery: Experience with productizing graph APIs, caching layers, SLA/SLO management.
Regulatory: Familiarity with GDPR/CCPA, data retention, sovereignty considerations.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Luxoft
Location(s): Hyderabad

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[Full Time] Analyst - Data Visualisation at Mphasis

Fri, 20 Mar 2026 12:00:00 +0530

Job Description
Overview
We are seeking a Data Strategy & Analytics Associate to join a dynamic team responsible for delivering high-quality, sustainable solutions at pace. You will play a pivotal role in supporting data and migration efforts within Operations, contributing to transformation and change programs, and ensuring our solutions are innovative, well-designed, and aligned with our mission: build things better and build better things.
Role Summary
As an Associate, you will:
Drive metrics and analysis around manual process, requirement gathering, and process improvement.
Collaborate with Operational teams and stakeholders to deliver successful outcomes.
Support data-driven process re-engineering, cost optimization, and risk transparency using advanced analytics tools.
Partner with global business and risk leaders to embed analytics-driven decision-making.
Key Responsibilities
Work with large, complex datasets from varied systems to derive meaningful insights.
Gather, understand, and document business requirements for data and analytics initiatives.
Collaborate with technology teams to explain requirements, test solutions, and perform user testing alongside Operations Leads.
Interact with other technology teams for system enhancements and inputs.
Manage projects end-to-end, ensuring quality output within prescribed timelines.
Communicate progress to senior management and escalate issues as needed.
Liaise globally with technology and operations teams to identify potential re-use and best practices.
Adhere to key control, regulatory, and audit standards.
Identify manual touchpoints across operations and establish root causes.
Develop and integrate tactical solutions using digital tools such as Alteryx, Tableau, SQL, Python, AI/ML Tools within
Create robust controls and governance around automation solutions.
Required Qualifications, Capabilities, and Skills
Strong analytical and problem-solving skills.
Excellent skills in data analysis, data mining, and system analysis.
Strong business knowledge in Investment Banking, including product, process, and system knowledge; sound understanding of the trade lifecycle.
Ability to drive results through a hands-on approach.
Excellent verbal and written communication skills; adept at communicating with all levels of business and technical teams.
Ability to operate effectively in a dynamic environment with tight deadlines and prioritize work accordingly.
Preferred Qualifications, Capabilities, and Skills
Experience with tools like Alteryx, SQL, Tableau, Python, AI/ML Toolkits
Strong communication and influencing skills, with the ability to support teammates and stakeholders in making sound decisions.
Proven project management skills, particularly in client and operational readiness.
Commitment to delivering high-quality work and continuously improving practices.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Mphasis
Location(s): Bengaluru

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[Full Time] Power Bi Developer-SQL & Data Modeling- B at Infosys

Tue, 17 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] S&c Gn - T&o - Oa - Nlp Data Science & Genai - Analyst at Accenture

Tue, 17 Mar 2026 12:00:00 +0530

Job Description
About The Role About The Role Job Title - Organizational Analytics- NLP Gen AI - Analyst- T&O- (S&C GN)Management Level:11 - Analyst Location:Gurgaon, Mumbai, BangaloreMust have skills:NLP OR Natural Language Processing OR Gen AI OR Generative AI OR LLM
Good to have skills:Workforce, people analytics Experience:Minimum 2-4 year(s) of experience is required
Educational Qualification:Any Master's degree Full time Job Summary:Although no two days at Accenture are the same, as an Organizational Analytics (OA) Analyst in our Talent & Organization (T&O) practice, a typical day might include:Comfortable with developing and deploying data-driven solutions to People transformation efforts for Accenture's Global and Local clientsRoles & Responsibilities:
Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution
Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions
Define data-backed people strategies to support business transformational programs
Co-create solutions and assist clients in developing action plans
Build strong relationships with clients and foster business growth
Contribute to T&O practice-building efforts
Professional and Technical Skills:

2 to 4 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)
Working knowledge on interpreting Natural Language Processing (NLP) based ML model results
Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage.
Data fluency and working knowledge of statistical methodologies.
Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.
Data interpretation with working knowledge of analytic models and digital tools
Fluency in English is required, additional language capabilities are highly advantageous
Ability to perform in a non-structured and dynamic environment

Additional Information:
Natural leader; easily establishes relationships with clients and colleagues.
Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world.
Determined; appreciates a challenge and overcoming obstacles to achieve results.
Digitally savvy; continuous learner.
A transparent career path designed for rapid career progression.
A supportive culture that is serious about training, coaching and continuous learning.
A global network where only state-of-the-art tools and technologies will do.
A bighearted environment with opportunities to give back to our local communities.
About Our Company | Accenture Qualification
2 to 4 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)
Working knowledge on interpreting Natural Language Processing (NLP) based ML model results
Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage.
Data fluency and working knowledge of statistical methodologies.
Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.
Data interpretation with working knowledge of analytic models and digital tools
Fluency in English is required, additional language capabilities are highly advantageous
Ability to perform in a non-structured and dynamic environment
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Power Bi Developer - (Female Candidates) at Infosys

Tue, 17 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Intern - Data Modeler at Crisil

Tue, 17 Mar 2026 12:00:00 +0530

Job Description
Internship Opportunity: Intern - (Data & Semantic Modeler)

We're excited to offer an internship opportunity in our Data Office team! As a Data & Semantic Modeler intern, you'll have the chance to work on designing and implementing enterprise-wide canonical models, including ontologies and taxonomies. Your main goal will be to help build a model repository that integrates structured data from multiple sources into AI-ready assets.

Responsibilities:

Designing and developing enterprise-wide canonical models (ontologies and taxonomies)

Learn and contribute to building a model repository that bridges data from multiple silos (RDBMS and other sources) into knowledge-driven assets

Collaborate with our team to understand traditional data modeling concepts (SQL, ER modeling) and semantic/knowledge representation (ontologies, RDF, OWL, SKOS)

Assist in data modeling and semantic modeling tasks under the guidance of experienced team members

Learn and gain hands-on experience with data modeling tools and technologies

Requirements:

Bachelors or masters degree in computer science, Information Systems, Data Science, or related field.

Entry level or 0 - 2 Years of work experience.

Basic knowledge of dimensional modeling concepts (e.g., SQL, data structures)

Python Programming

Willingness to learn and explore semantic/knowledge representation concepts (ontologies, RDF, OWL, SKOS)

Strong analytical and problem-solving skills

Excellent communication and teamwork skills

What you'll gain:

Hands-on experience in data modeling and semantic modeling

Opportunity to work with cutting-edge technologies and tools

Collaborative and dynamic work environment

Mentorship and guidance from experienced professionals

Chance to contribute to a meaningful project and make a real impact

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Crisil
Location(s): Mumbai

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[Full Time] Opening For Power Bi Developer-Pan India at Infosys

Mon, 16 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Mon, 16 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power BI Modelling Professional at Leading Client

Fri, 13 Mar 2026 13:29:31 +0530

Job Description
Role Summary
We are looking for a professional with strong expertise in AWS, Power BI Modelling and Data Modelling. The candidate should have at least 5+ years of experience in designing scalable data models, developing interactive Power BI dashboards, and working with AWS-based data platforms to support business intelligence and analytics.
Key Responsibilities
Work with AWS data services to extract, transform, and prepare datasets for analytics.
Develop and maintain scalable data models to support business intelligence solutions.
Design and develop efficient Power BI data models and dashboards for business reporting.
Required Core Skills
AWS Data Services
Data Modelling and SQL/Data Warehousing Concepts
Power BI Modelling (Data Modelling, Dashboard Development)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Leading Client
Location(s): Hyderabad

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[Full Time] Analyst-Data Science at American Express

Fri, 13 Mar 2026 11:18:53 +0530

Job Description

The successful candidate will be responsible to manage and controls model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models. This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.

The specific responsibilities include:

Conduct independent oversight of enterprise-wide models with a focus on Artificial Intelligence and Machine Learning based models for marketing, credit, fraud or other business/ risk types.

Conduct gap assessments and establish robust framework to strengthen model risk controls and meet heightened regulatory standards

Conduct AI/ML research to explore opportunities and set guidelines in order to address regulators, elevate model excellence and drive business impact

Communicating results to partners, senior leadership and various model committees

Past Experience:

0-4 years experience in analytics or big data workstreams

Academic Background:

MBA, master s degree in economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

Hands-on model development or validation experience.

Strong Analytical and Relationship and project management skills for driving validation initiatives.

Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.

Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.

Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.

Effectively communicating complex Analytical results to Business Partners and Senior Management.

Flexibility and Adaptability to Work Within tight deadlines and changing priorities.

Technical Skills/Capabilities: Experience with at least one of the data manipulation tools such as R, Python, SQL and SAS is a must have.
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Freshers] Fresher Graduate at Iksula

Wed, 11 Mar 2026 14:26:05 +0530

Job Description
Contact +91 9900123088 / 6383074760 / 9123579770 Data / Analytics RolesData Analyst FresherBusiness Analyst TraineeSoftware Engineer TraineeJunior Software DeveloperAssociate Software Engineer
IT / Software Fresher Roles
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Freshers
Contact Details:
Company: Iksula
Location(s): India

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[Full Time] Opening For Aws Data Engineer - (pan India) at Infosys

Wed, 11 Mar 2026 13:55:18 +0530

Job Description
Job description
Hiring for AWS Data engineeer
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer - (Female Candidates) at Infosys

Wed, 11 Mar 2026 12:16:58 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Talend Developer-(Female Candidates) at Infosys

Wed, 11 Mar 2026 11:21:52 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Talend Developer
Mandatory Skills:
Talend
Talend Open Studio (TOS)
Talend Data Integration
Talend Big Data
Talend Cloud
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For Scala Developer-(Pan India) at Infosys

Wed, 11 Mar 2026 10:39:22 +0530

Job Description
Job description
Hiring for SCALA Developep
Mandatory Skills: SCALA , Akka,Spark

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] PySpark | Databricks Developer - Female Candidates at Infosys

Wed, 11 Mar 2026 10:11:45 +0530

Job Description
Job description
Hiring for Pyspark Develper-Female Candidates
Mandatory Skills: Pyspark, Python, Big data, ETL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

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[Full Time] AWS DevOps Engineer- (Female Candidates) at Infosys

Wed, 11 Mar 2026 10:04:44 +0530

Job Description
Job description
Hiring for AWS DevOps Engineer
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For Spark Developer -Pan India at Infosys

Wed, 11 Mar 2026 08:53:57 +0530

Job Description
Job description
Hiring for Spark Developer
Mandatory Skills: Spark, Python, SQL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] PySpark Developer - (Female Candidate) at Infosys

Wed, 11 Mar 2026 08:04:46 +0530

Job Description
Job description
Hiring for Pyspark Develper-Female Diversity
Mandatory Skills: Pyspark, Python, Big data, ETL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] DataStage Developer-(Female Candidates) at Infosys

Wed, 11 Mar 2026 08:00:01 +0530

Job Description
Job description
Hiring for Datastage developer
Mandatory Skills: IBM datastage

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For PySpark Developer -Pan India at Infosys

Wed, 11 Mar 2026 07:47:36 +0530

Job Description
Job description
Hiring for Pyspark Develper
Mandatory Skills: Pyspark, Python, Big data, ETL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Microsoft Fabric/Power BI Developer- Female Candidates at Infosys

Wed, 11 Mar 2026 07:23:07 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Databricks Engineer - (Pan India) at Infosys

Wed, 11 Mar 2026 06:51:13 +0530

Job Description
Job description
Hiring for Azure Databrick Engineer
Mandatory Skills: Databrick, Data lake, Azure

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Snowflake Developer| DBT -Female candidate at Infosys

Wed, 11 Mar 2026 06:46:17 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Full Stack Data Engineer- AWS
Mandatory Skills: AWS,GAWS Glue ETL,Python/SQL
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Hadoop Developer- (Female Candidates) at Infosys

Wed, 11 Mar 2026 06:44:25 +0530

Job Description
Job description
Hiring for Hadoop Developer
Mandatory Skills: Hadoop, bigdata, spark

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Data Scientist at The Glove

Wed, 11 Mar 2026 06:38:23 +0530

Job Description
Job Description
Roles & Responsibilities:
Analyze large datasets to derive insights for business decisions.

Build predictive models and machine learning algorithms.

Perform data cleaning, preprocessing, and feature engineering.

Collaborate with business teams to understand requirements.

Visualize and present data insights in dashboards and reports.

Key Skills Required:
Python, R, Machine Learning, Data Analysis, SQL, Pandas, NumPy, Scikit-learn, Data Visualization

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: The Glove
Location(s): India

Apply

[Full Time] Opening For Aws Devops Engineer-pan India at Infosys

Wed, 11 Mar 2026 06:37:30 +0530

Job Description
Job description
Hiring for AWS DevOps Engineer
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Teradata Developer- Female Candidates at Infosys

Wed, 11 Mar 2026 05:12:30 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Teradata Developer
Mandatory Skills: Teradata
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] AWS DevOps Engineer at Adastra Corp

Wed, 11 Mar 2026 04:34:01 +0530

Job Description
We are looking for additional resource with below skills :
Cloud : AWS
Skills :
AWS Cloud Engineer/administration
Windows administration, VMware administration
Networking and network services
Understanding of Security principles
Monitoring Datadog and other monitoring services
Terraform - a must
Preferred knowledge of AWS well architecture framework
Prior experience with managed services is a benefit
Work on schedule / rotations / on-calls
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Adastra Corp
Location(s): India

Apply

[Full Time] Opening For Power Bi Developer - Pan India at Infosys

Wed, 11 Mar 2026 03:03:44 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Talend Developer (Pan India) at Infosys

Wed, 11 Mar 2026 03:00:53 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Talend Developer
Mandatory Skills:
Talend
Talend Open Studio (TOS)
Talend Data Integration
Talend Big Data
Talend Cloud
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Aws Data Engineer - (pan India) at Infosys

Wed, 11 Mar 2026 02:19:08 +0530

Job Description
Job description
Hiring for AWS Data engineeer
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Teradata Developer- Pan India at Infosys

Wed, 11 Mar 2026 02:13:52 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Teradata Developer
Mandatory Skills: Teradata
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Spark-Scala Consultant (Pan India) at Infosys

Wed, 11 Mar 2026 01:12:25 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Hiring for Spark SCALA Python Consultant
Mandatory Skills: Spark, SCALA,Python

Service Line Data & Analytics Unit Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Senior Power Bi Developer-SQL & Data Modeling at Infosys

Wed, 11 Mar 2026 00:45:30 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] AWS Data Engineer--(Female Candidates) at Infosys

Wed, 11 Mar 2026 00:26:55 +0530

Job Description
Job description
Hiring for AWS Data Engineer
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] GCP Data Engineer | Big Query- (Female Candidates) at Infosys

Wed, 11 Mar 2026 00:25:02 +0530

Job Description
Job description
Hiring for Gcp developer
Mandatory Skills: GCP, Bigquery

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Gcp Data Engineer | Big Query - Pan India at Infosys

Wed, 11 Mar 2026 00:24:22 +0530

Job Description
Job description
Hiring for Gcp developer
Mandatory Skills: GCP, Bigquery

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] PySpark | Databricks Developer - Pan India at Infosys

Wed, 11 Mar 2026 00:18:24 +0530

Job Description
Job description
Hiring for Pyspark Develper
Mandatory Skills: Pyspark, Python, Big data, ETL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

Apply

[Full Time] PySpark | Scala Developer-Pan India at Infosys

Wed, 11 Mar 2026 00:15:06 +0530

Job Description
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to provide best fit architectural solutions for one or more projects.
You would also provide technology consultation and assist in defining scope and sizing of work
You would implement solutions, create technology differentiation and leverage partner technologies.
Additionally, you would participate in competency development with the objective of ensuring the best-fit and high quality technical solutions.
You would be a key contributor in creating thought leadership within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys.If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Knowledge of architectural design patterns, performance tuning, database and functional designs
Hands-on experience in Service Oriented Architecture
Ability to lead solution development and delivery for the design solutions
Experience in designing high level and low level documents is a plus
Good understanding of SDLC is a pre-requisite
Awareness of latest technologies and trends
Logical thinking and problem solving skills along with an ability to collaborate Experience: 2-20years Required Skills: Scala, Spark, Python, Pyspark Service Line Data & Analytics Unit
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Opening For Teradata Developer- Pan India at Infosys

Tue, 10 Mar 2026 23:44:51 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Teradata Developer
Mandatory Skills: Teradata
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For IICS Developer - Pan India at Infosys

Tue, 10 Mar 2026 23:37:58 +0530

Job Description
Job description
Hiring for Informatica Iics developer
Mandatory Skills: Informatica Iics, SQL

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Architect at TekWissen

Tue, 10 Mar 2026 23:24:51 +0530

Job Description
Overview:
TekWissen is a global workforce management provider throughout India and many other countries in the world. The below job opportunity is to one of our clients who is a part of a trusted global innovator of IT and business services headquartered in Tokyo. We help clients transform through consulting, industry solutions, business process services, IT modernization and managed services. This client enables us to move confidently into the digital future. This client committed to Long Term success and combine global reach with local client attention to serve them in over 50 Countries.

Position: Data Architect
Location: PAN India
Work Type: Hybrid
Job Type: Full Time

Job Description:
Designs and builds relational database models and defines data requirements to meet the business needs.
Develops strategies for data acquisitions, archive recovery, and implementation of databases.
Foster value creation from the use of the internal organization's data assets, as well as from the external data ecosystem.
Source the value through envisioning data-enabled strategies as well as enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.
ESSENTIAL FUNCTIONS:
Creates design principles and prepares technical and infrastructure architecture deliverables that meet business requirements and customer needs.
Participates in product design recommendations that span the entire infrastructure framework.
Develops logical and physical database models. Writes scripts and commands for data manipulation.
Plans and conducts database unit and systems tests; monitors results and takes corrective actions.
Monitors and resolves database performance, capacity, data integrity, and replication issues.
Serve as a central point of access to data across the organization
Drives prioritization of data requests, considering organizational goals and strategic plan
Assists with evaluation, participation in, and management of comparative databases to reduce duplication and ensure maximum return on investment
Responsible for data governance, ensuring accuracy, integrity, and consistency of data definitions across the organization when possible
Sustains knowledge of current trends as it relates to data analytics
Supports the gathering and interpretation of data; draws conclusions and formulates recommendations to assist in quality, safety and strategic initiatives
Recognizes the strengths and weaknesses of various data sources; works with stakeholders to recommend utilization of specific data sources to most effectively capture desired information
Communicate the benefits of the enterprise data architecture to various stakeholders in order to focus on meeting business and IT needs while assisting developers in the use of architecture
Builds technical relationships with business, operations, and technical teams and leads design efforts that provides innovative solutions and complex architectures
TekWissen Group is an equal opportunity employer supporting workforce diversity
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: TekWissen
Location(s): Hyderabad

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[Full Time] Opening For Snowflake Developer| Dbt | Sql(pan India) at Infosys

Tue, 10 Mar 2026 23:23:49 +0530

Job Description
Educational Requirements Bachelor of Engineering, BTech, BCA, MTech, MCA ,B.Sc, M.SC
Job description
Full Stack Data Engineer- AWS
Mandatory Skills: AWS,GAWS Glue ETL,Python/SQL
Responsibilities A day in the life of an InfoscionAs part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities: Knowledge of more than one technology
Basics of Architecture and Design fundamentals
Knowledge of Testing tools
Knowledge of agile methodologies
Understanding of Project life cycle activities on development and maintenance projects
Understanding of one or more Estimation methodologies, Knowledge of Quality processes
Basics of business domain to understand the business requirements
Analytical abilities, Strong Technical Skills, Good communication skills
Good understanding of the technology and domain
Ability to demonstrate a sound understanding of software quality assurance principles, SOLID design principles and modelling methods
Awareness of latest technologies and trends
Excellent problem solving, analytical and debugging skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For Hadoop Data Engineer - Pan India at Infosys

Tue, 10 Mar 2026 22:57:03 +0530

Job Description
Job description
Hiring for Hadoop Developer
Mandatory Skills: Hadoop, bigdata, spark

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Tue, 10 Mar 2026 22:34:41 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For DataStage Developer-Pan India at Infosys

Tue, 10 Mar 2026 20:59:48 +0530

Job Description
Job description
Hiring for Datastage developer
Mandatory Skills: IBM datastage

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA, MSc, MTech, B.Tech, BCA, BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Data Science Research Specialist at Accenture

Tue, 10 Mar 2026 12:00:00 +0530

Job Description
Job Description
This role is in Accenture Research Global Data Science Team.
We are looking for a data scientist with deep business knowledge and a research mindset and a passion for data-driven insight discovery.
We offer a career aligned to creating innovation and clients impact, managing complex data driven research projects, with multinational and multidisciplinary teams. Our team constantly explores the latest GenAI models to identify novel business opportunities, we are a global and integrated team with a high degree of work flexibility (conditional on local laws and policies).
We provide opportunities to learn new skills through coaching, supervision, mentoring and external trainings.
Key Responsibilities include:
Support global data science research projects and client insights focusing on business impact.Support the development of novel data-driven approaches to support current and future research projects.
Help in the design and execution of groundbreaking and differentiated data science approaches based on a combination of both GenAI and traditional Machine Learning.
Collaborate closely with research leads as well as business stakeholders to drive innovation on research projects
What we offer:Access to latest GenAI models, tools and the opportunity to build value using themFlexible work environment (conditional on local policies)
We have access to 100+ business data sources through our research data lake.
We are constantly expanding our universe of data from commercial and open sources and partnering with premium data providers to improve quality of inputs into our models.
We provide several unique training opportunities to continue your growth, including both internal trainings, on the job, personal exploration time to work on novel methodologies without the constraints of a projects and with leading universities.Experience and skills:oStrong track record in data science research and tools and techniques (incl. Python, Google Cloud, SQL, NLP, text analytics, data-wrangling, machine learning)
oExposure and knowledge of LLM models (e.g. Azure OpenAI, Llama, Gemini) and GenAI framework (e.g. Langchain) would be a plus
oStorytelling paired with a strong analytical skills and a proven ability to make sense out of data oStrategic problem solver with the ability to take an issue and turn it into a researchable questionoStrong professional qualities:client focus, decisiveness, integrity, resilience to stress against stretch goals and deadlines
oExcellent communication (written and oral) and interpersonal skillsoExperience in the presentation of research deliverables to high level executivesoEnthusiasm to work effectively in a global, multi-cultural team
Education:
Bachelors degree in Business Analytics, Statistics, Economics, Computer Science, Engineering or similar.
Masters degree preferred.
Work Experience:
3+ to 6 years of relevant experience related to data science, GenAI and business insights

Qualification
TBD
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Sr. Power Bi Developer-sql & Data Modeling (female Hiring) at Infosys

Tue, 10 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Walk-ins] Walk-in Drive In Hyderabad On14th March For Gen Ai And Agentic Ai at Hexaware Technologies

Tue, 10 Mar 2026 12:00:00 +0530

Job Description

Open & Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist, Lead & Architect in Hyderabad, Telangana on 14th March [Saturday] 2026 LLM, Python, Agentic AI, RAG, API Integration, .Net Core

Roles and Responsibilities
Design, develop, and deploy large language models using OpenAI's GPT-3 and Copilot.
Develop generative AI capabilities through retrieval augmented generation (RAG) techniques.
Implement agentic AI systems that can understand natural language processing tasks such as text classification, sentiment analysis, and question answering.
Collaborate with cross-functional teams to integrate machine learning algorithms into existing applications.
Troubleshoot issues related to data science pipelines and provide technical support for ML model deployment.
We are hosting an Open Walk-in Drive in Hyderabad, Telangana on 14th March [Saturday] 2026, and we believe your skills in GenAI Specialist with Agentic AI/Multiagent align perfectly with what we are seeking.

Details of the Walk-in Drive:
Date: 14th March [Saturday] 2026
Experience:6 years to 16 years
Time: 9.30 AM to 5 PM

Point of Contact: Revathi E - 6374298927, Rishal - 8667566298, Sundarkanth - 7397526151

Venue: 10th Floor, Prestige Sky Tech 1, Nanakramguda, Financial District, Ranga Reddy District, Telangana 500032, India
Work Location: Hyderabad & Open to other locations

What to Bring:
Updated resume
Photo ID, Passport size photo

How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event.

This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies.

If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com

We look forward to meeting you and exploring the potential of having you as a valuable member of our team.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Walk-ins
Contact Details:
Company: Hexaware Technologies
Location(s): Hyderabad

Apply

[Full Time] Analyst Data Science at American Express

Tue, 10 Mar 2026 11:52:19 +0530

Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

The AIM (Analytics, Investment & Marketing Enablement) team a part of Global Commercial Service (GCS) Marketing is the analytical engine that enables the GCS business portfolio of American Express. Accelerating growth momentum, increasing profitability, and strengthening our value proposition are key objectives for this organization. The team delivers consultative and innovative analytical solutions that power profitable business growth across GCS Marketing.

This role will contribute to the development and deployment of advanced analytics and GenAI-driven solutions that support GCS Acquisition, Personalization, Engagement, and US SME distribution efficiency. The primary focus will be building scalable, data-driven models and AI applications that drive measurable business outcomes. This includes enabling real-time targeting, next-best-action decisioning, conversational analytics, automated insights, and productivity-enhancing tools for Marketing and Sales teams.

The role requires strong hands-on technical expertise and the ability to translate business problems into analytical solutions. The individual will work closely with senior team members to prototype, validate, and productionize ML and GenAI use cases within enterprise environments.

The ideal candidate combines strong analytical rigor with solid technical execution skills and a curiosity for emerging AI technologies. This person should be comfortable building models end-to-end, conducting experimentation, and collaborating cross-functionally to deliver measurable impact.

How will you make an impact in this role

Build and implement machine learning models to support targeting, personalization, and engagement optimization across Marketing channels.

Contribute to next-best-action and treatment optimization frameworks using ML and GenAI approaches.

Develop and support GenAI-powered tools (e.g., automated insights, prompt-based workflows, conversational analytics) to enhance marketing productivity and decision-making.

Integrate new behavioral, engagement, and AI-generated signals into existing decisioning and prioritization systems.

Design and execute experiments (A/B testing, test-control frameworks) to measure model effectiveness and business impact.

Partner with Marketing, Sales, Product, and Technology stakeholders to gather requirements and ensure successful implementation.

Support model monitoring, performance tracking, and continuous optimization efforts.

Stay current with emerging ML and GenAI techniques and apply relevant innovations to business problems under guidance of senior team members.

Minimum Qualifications

Master s degree in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Physics, or related discipline) or equivalent practical experience.

Hands-on experience building and deploying machine learning models in production or near-production environments.

Strong proficiency in Python and SQL with experience working on large-scale datasets.

Experience with ML workflows including data preparation, feature engineering, model development, validation, and monitoring.

Exposure to GenAI use cases such as prompt engineering, retrieval-based systems (RAG), or integration of LLM outputs with structured data.

Strong analytical and problem-solving skills with ability to structure business problems into data-driven solutions.

Effective communication skills with ability to present findings clearly to business partners.

Preferred Qualifications

Experience working with modern ML/LLM frameworks (e.g., PyTorch, HuggingFace, LangChain, etc.).

Familiarity with experimentation frameworks, causal inference, or uplift modeling.

Experience in marketing analytics, personalization systems, or decisioning platforms.

Exposure to model deployment pipelines, MLOps practices, or cloud-based ML environments.

Demonstrated ability to manage individual workstreams with accountability and timely delivery.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] Senior Power BI Engineer-- B at Infosys

Tue, 10 Mar 2026 07:37:08 +0530

Job Description
Educational Requirements Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Comp. Applications,Master Of Technology,Master of Business Administration,Master Of Comp. Applications Service Line Cloud & Infrastructure Services
Responsibilities Dashboard & Report DevelopmentDesign and build Power BI dashboards and paginated reports for various business units.Create visually compelling and user-friendly reports aligned with organizational standards.Implement advanced features such as drill-through, bookmarks, and dynamic filtering.Data Modeling & OptimizationDevelop robust data models using Power Query (M) and DAX for calculations and KPIs.Optimize data sources for performance and scalability.Implement best practices for query folding, incremental refresh, and dataset optimization.Data IntegrationIntegrate data from multiple sources (SQL Server, Azure Data Lake, Excel, APIs).Ensure dashboards and reports meet performance benchmarks.
Technical and Professional Requirements: 5+ years of experience in dashboard creation and report generation with Power BI.Strong proficiency in Power Query (M) and DAX.Hands-on experience with data integration from multiple sources.Expertise in performance tuning and optimization techniques.Familiarity with Azure services and cloud-based data solutions is a plus.
Preferred Skills: Technology->Finacle-Core-DM->Data Migration & Migration Data analysis
Technology->Consulting - Data Governance->Data Governance
Technology->Business Intelligence - Visualization->MSBI (Power BI)
Technology->SQL SSIS->SQL Server
Technology->Cloud Platform->Power Platform->Power BI

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Aiml Engineer- Nlp /genai at Tiger Analytics

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
As a AIML Engineer specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.
Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.
Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.
Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results.
Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.
Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.
Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation.
What do we expect?
Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.
Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments.
AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions.
Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems.
Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Power BI - Senior Engineer at Iris Software

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
We are seeking an experiencedPower BI Developer with AI Skillswith5-8 years of experienceto join our dynamic team. The ideal candidate will bring extensive expertisein Power BIand a strong command of DAX queries along with strong knowledge ofusing AI/ML embeddings in Power BI. You should have a proven track record of designing , developing and optimizing complex dashboards.
Roles Responsibilities :Understand business requirements in BI context and design data models to transform raw data into meaningful insights.
Creation of dashboards visually interactive reports using Power BI.
Create relationships between data sources and develop data models accordingly.
Apply DAX functions and write advanced DAX queries for custom calculations and performance optimization.
Awareness of Star and Snowflake schemas and core concepts of Data Warehousing (DWH).
Work independently in rotational shifts, managing tasks without close supervision.
Understand the business functionality of applications to provide accurate and relevant insights.
Participate in bridge calls for critical incidents and provide clarifications as needed.
Ensure on-time delivery of solutions as per the agreed ETAs.
Maintain high quality in deliverables through careful validation and testing.
Demonstrate effective verbal and written communication.
Handle multiple tasks simultaneously while maintaining attention to detail.
Possess strong interpersonal and collaboration skills to work across teams.
Qualifications
Educational qualification:
Bachelors degree in Computer Science, Data Science,AI/ML or a related field.
4+ years of hands-on experience in Power BI development
Minimum of 1+ years of experience in AI/ML integration with Power BI
Mandatory/requires Skills :Power BI, DAX, M Code
Semantic Data modeling
Experience in AI/ML Embedding to power BI solutions.
SQL/PL-SQL Azure Data platform
Understanding of machine learning or AI-driven analytics tools.
Strong proficiency in programming languages like Python
Mandatory Competencies
Database - Database Programming - PL/SQL
Database - Database Programming - SQL
BI and Reporting Tools - BI and Reporting Tools - Power BI
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Cloud - Cloud - Snowflake
Beh - Communication and collaboration
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Analyst at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Job Title - SC Global Network - AI - Hi Tech - Data Science Senior Analyst
Management Level:10-Senior Analyst
Location:Bengaluru
Must-have skills:Prompt Engineering

Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHATS IN IT FOR YOU
We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing consumer analytics, predictive asset maintenance, production optimization, supply chain, sales channel partner program analytics, and connected products.
You will be leading design and delivery on client projects.
What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.

Professional Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Prior experience in leading teams that develop data science/GenAI solutions will be preferred.
Proven track record of developing AI models in areas such as channel analytics, marketing customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accentur
Qualification
Experience:5 to 8 Years

Educational Qualification:Minimum 15 Years of Education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Pune

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description

Job Title - Decision Science Practitioner Sr. Analyst S&C GN
Management Level:Sr. Analyst
Location:Bangalore/ Kolkata/Gurugram/Hyderabad
Must have skills:Generative AI

Good to have skills:Data Science
Experience:4+ years in data science

Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field
Job
Summary:
We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities
Generative AI Expertise
Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.
Cloud Platform Expertise
Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.
Data Science and Engineering
Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Qualification
Required
Qualifications
Experience:4+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.
About Our Company | Accenture
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Life Sciences -data Science Analyst at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Job Title - SC Global Network - AI - Healthcare Analytics - Consultant
Management Level:9-Team Lead/Consultant
Location:Bangalore/Gurgaon
Must-have skills:R,Phython,SQL,Spark,Tableau ,Power BI

Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHATS IN IT FOR YOU
An opportunity to work on high-visibility projects with top Pharma clients around the globe.
Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional.
Personalized training modules to develop your strategy consulting acumen to grow your skills, industry knowledge, and capabilities.
Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.

Professional Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
What you would do in this role
Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
Responsibilities may include strategy, implementation, process design, and change management for specific modules.
Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science
Provide Subject matter expertise in various sub-segments of the LS industry.
Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
Acquire new skills that have utility across industry groups.
Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.
Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.
Make presentations wherever required to a known audience or client on functional aspects of his or her domain.
Who are we looking for
Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) EMR (Electronic medical records)
Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, RD clinical data, digital marketing data.
Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
Proficiency in Programming languages such as R, Python, SQL, Spark, etc.
Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.
Excellent analytical and problem-solving skills, with a data-driven mindset.
Proficient in Excel, MS Word, PowerPoint, etc.
Ability to solve complex business problems and deliver client delight.
Strong writing skills to build points of view on current industry trends.
Good communication, interpersonal, and presentation skills

Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accenture
Qualification
Experience:4-8 Years

Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Job Title - SC Global Network - AI - Hi Tech - Data Science Senior Analyst
Management Level:10-Senior Analyst
Location:Bengaluru
Must-have skills:Prompt Engineering

Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHATS IN IT FOR YOU
We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing consumer analytics, predictive asset maintenance, production optimization, supply chain, sales channel partner program analytics, and connected products.
You will be leading design and delivery on client projects.
What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.
Professional Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Proven track record of developing AI models in areas such as channel analytics, marketing customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accenture
Qualification
Experience:Minimum 4 Years

Educational Qualification:Minimum 15 Years of Education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Cmt - Data Science Network Consultant at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
About The Role Job Title - S&C Global Network - AI - CMT - Consultant Data ScienceManagement Level:9-Team Lead/ConsultantLocation:Bengaluru, BDC7CMust-have skills:Gen AI , Machine Learning , Data Science , NLPGood to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.Responsibilities/AuthoritiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.
Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.
Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem.
Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.
Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.
Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints.
Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
Should be able to travel or relocate to Japan as per business requirement.
Professional & Technical Skills:
- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Demonstrated experience in solving real-world data problems through Data & AI
Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.
Execution level understanding of econometric/statistical modeling packages
Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.
Knowledge of Deep learning modeling techniques like RNN, CNN etc.
Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI
Proficient in Excel, MS word, Power point, and corporate soft skills
Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc.
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.
Strong analytical, problem-solving skills and good communication skills
Self-Starter with ability to work independently across multiple projects and set priorities
Strong team player Proactive and solution oriented, able to guide junior team members.
Execution knowledge of optimization techniques is a good-to-have
Exact optimization Linear, Non-linear optimization techniques
Evolutionary optimization Both population and search-based algorithms
Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information:- Opportunity to work on innovative projects. - Career growth and leadership exposure.About Our Company | AccentureQualificationExperience:8-10YearsEducational Qualification:Any Degree
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Life Sciences -data Science Analyst at Accenture

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Job Title - SC Global Network - AI - Healthcare Analytics - Consultant
Management Level:9-Team Lead/Consultant
Location:Bangalore/Gurgaon
Must-have skills:R,Phython,SQL,Spark,Tableau ,Power BI

Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHATS IN IT FOR YOU
An opportunity to work on high-visibility projects with top Pharma clients around the globe.
Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional.
Personalized training modules to develop your strategy consulting acumen to grow your skills, industry knowledge, and capabilities.
Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.
What you would do in this role
Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
Responsibilities may include strategy, implementation, process design, and change management for specific modules.
Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science
Provide Subject matter expertise in various sub-segments of the LS industry.
Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
Acquire new skills that have utility across industry groups.
Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.
Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.
Make presentations wherever required to a known audience or client on functional aspects of his or her domain.
Who are we looking for
Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) EMR (Electronic medical records)
Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, RD clinical data, digital marketing data.
Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
Proficiency in Programming languages such as R, Python, SQL, Spark, etc.
Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.
Excellent analytical and problem-solving skills, with a data-driven mindset.
Proficient in Excel, MS Word, PowerPoint, etc.
Ability to solve complex business problems and deliver client delight.
Strong writing skills to build points of view on current industry trends.
Good communication, interpersonal, and presentation skills

Professional Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.

Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accenture
Qualification
Experience:4-8 Years

Educational Qualification:Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Sr Associate-Data Science at Cognizant

Mon, 09 Mar 2026 12:00:00 +0530

Job Description
Role: Data Scientist & Gen AI
Location: Bangalore/Hyderabad
Notice period: Immediate - 45 Days
As a Data Scientist, you will lead the development and deployment of advanced data science solutions to address complex business challenges. You will work closely with stakeholders to understand requirements, guide the team, and ensure alignment with strategic objectives. This role demands deep expertise in machine learning, deep learning, GenAI, and MLOps, along with a strong ability to mentor junior team members and drive projects to successful completion. You will also identify opportunities for automation and process optimization to enhance operational efficiency.
Core Responsibilities

Lead the design, development, and deployment of scalable ML/DL/GenAI solutions across diverse business domains.

Translate business requirements into technical solutions, ensuring alignment with organizational goals.

Drive automation of repeatable tasks and workflows to improve efficiency and reduce manual effort.

Ensure high-quality deliverables through rigorous testing, validation, and implementation of quality control measures.

Collaborate with cross-functional teams including data engineering, product, and business stakeholders.

Communicate complex analytical concepts and insights clearly to both technical and non-technical audiences.

Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation.
Technical Expertise

612 years of hands-on experience in Data Science, with proven success in applying ML, DL, NLP, and CV techniques to solve real-world problems.

Strong proficiency in Python or R, with the ability to write modular, scalable, and production-ready code.

Deep understanding of ML/DL algorithms, statistical modeling, and foundational concepts in NLP and computer vision.

Experience with GenAI and LLMs, including applications such as summarization, content generation, and semantic analysis.

Solid knowledge of SQL for data manipulation and analysis.

Working knowledge of optimization techniques and their application in model tuning and performance enhancement.

Hands-on experience with MLOps tools and practices for model lifecycle management, CI/CD, and monitoring.
Preferred Skills

Experience with cloud platforms (e.g. GCP) and containerization tools (Docker, Kubernetes).

Familiarity with model explainability frameworks and responsible AI practices.

Exposure to data governance, privacy, and compliance standards.

Ability to lead cross-functional teams and manage multiple projects simultaneously.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Sun, 08 Mar 2026 05:47:37 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Senior Power Bi Developer-SQL & Data Modeling at Infosys

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Opening For Power Bi Developer - Pan India at Infosys

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Sr. Consultant- Data Science & GenAI at Infosys

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Educational Requirements
Bachelor of Engineering
Service Line
Infosys Quality Engineering
Responsibilities
Generative AI solution customization, enhancement and implementation using Infosys and Industry standard tools and platforms Built MCP and Agentic based solutions using various frameworks
Employ techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results
Testing of AI applications using tools and capturing standard and custom metrics Stay up-to-date with the latest advancements in Generative AI and testing methodologies
Work closely with cross-functional teams to ensure prompts align with company objectives and user experience
Identify and report bugs, performance bottlenecks, and safety issues
Technical and Professional Requirements:
Bachelors degree in computer engineering or equivalent 5-9 years of experience in Data Science, AI, ML and Gen AI area using any programming or scripting languages
Strong communication and collaboration skills
Proficiency in Python development or any other language used for Data Science or AI ML
Excellent analytical and problem-solving skills
Explore and evaluate new technologies and tools to improve our development processes
Contribute to the full software development lifecycle, from design and implementation to testing and deployment
Experience with cloud platforms like AWS, Azure, or GCP
Hands-on Generative AI based solution implementation
Preferred Skills:
Technology->Automated Testing->Automated Testing - ALL
Technology->Machine learning->data science
Technology->Machine Learning->Python
Technology->Machine Learning->Generative AI
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Bengaluru

Apply

[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Data Engineer- Power BI at Tiger Analytics

Fri, 06 Mar 2026 12:00:00 +0530

Job Description
Role & responsibilities:
As a Data Engineer, you will work to create and manage BI and analytics solutions that turn data into knowledge.
On a typical day, you might
Work on translating business needs to technical specifications.
Discuss the design of the BI solutions that can be built & deployed to solve the complex problem.
Leverage Power BI to maintain & support data analytics platforms.
Involve yourself in unit testing and troubleshooting.
Develop and execute database queries and conduct analyses.
Create visualizations and build reports that exceed the expectations of the clients.
Work on enhancing the BI systems that exist.
Develop or ensure that the tech documentation developed is updated. Involve in BI performance tuning & consumption patterns as you better understand BI SLAs.
Ideate with your peers to design ground-breaking BI solutions.
Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life. EXPERTISE AND QUALIFICATIONS What do we expect?
4-9years of overall experience with 2+ years of relevant experience in the Power BI development space.
Real-time experience working in Power BI that includes Model Creation, DAX (including Advanced), RLS Implementation, Performance Tuning, and Security.
Comprehensive knowledge of SQL.
Exposure to ETL tools & good understanding of DBMS & OLAP are value additions.
Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.
Adept understanding of any of the cloud services is preferred (Azure). You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Analyst at Accenture

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
Job Description Template
Job Title - Decision Science Practitioner Analyst SC GN

Management Level:Analyst

Location:Bangalore/ Kolkata/Gurugram/Hyderabad

Must have skills:Generative AI

Good to have skills: Data Science

Experience: 2+ years in data science

Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field

Job Summary:

We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

Generative AI Expertise

Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.

Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)

Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.

Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise

Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.

Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering

Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.

Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.

Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.

Qualification
Required
Qualifications

Experience:2+ years in data engineering/data science

Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills

Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).

GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents

Cloud Platforms: Experience with Azure and/or AWS in data science workflows.

Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

GenAI LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)

Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills

Experience in decision science projects focused on marketing, supply chain, or sales.

Strong analytical and problem-solving skills with a results-oriented mindset.

Excellent communication and stakeholder management capabilities.

Additional Information:

- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients

- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai -cg&s?? Consultant Data Science at Accenture

Thu, 05 Mar 2026 12:00:00 +0530

Job Description
About The Role

Job Title: Industry Function AI Decision Science Consultant SC Global Network
Management Level: 9 Consultant
Location: Primary - Bengaluru, Secondary - Gurugram
Must-Have
Skills:
Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL
Good-to-Have
Skills:
Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc.

Job Summary:
As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making.
Roles Responsibilities:
Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain

Lead data science engagements, manage delivery teams, and build innovative AI capabilities

Develop and implement advanced analytics solutions tailored to client requirements

Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development

Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions

Translate complex data into compelling narratives for effective data storytelling

Mentor junior team members and contribute to thought leadership

Qualification
Professional Technical
Skills:

Proficiency in Python, R, PySpark, and SQL

Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning

Hands-on experience in Consumer Goods Services domain

Cloud integration skills with platforms like AWS, Azure, or Google Cloud

Experience with optimization techniques (exact and evolutionary)

Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer

Familiarity with visualization tools like Tableau and Power BI

Exposure to large language models (e.g., ChatGPT, Llama 2)

Familiarity with version control systems like Git.

Additional Information:

The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry.

About Our Company |
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Senior Power Bi Developer-sql & Data Modeling (female Hiring) at Infosys

Wed, 04 Mar 2026 12:44:16 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Microsoft Fabric/Power BI Developer- Female Candidates at Infosys

Wed, 04 Mar 2026 11:15:50 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer (Female Candidates) at Infosys

Wed, 04 Mar 2026 08:16:35 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Sr Analyst - Data Science at NOVARTIS

Wed, 04 Mar 2026 07:56:57 +0530

Job Description
The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.
Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.

Key Responsibilities

Deliver predictive and classification models using machine learning and statistical algorithms as an individual contributor for various projects related to commercial pharma, in close collaboration with senior associates in the team.

Analyze large datasets from various sources (Claims, Sales, Promotions, etc) to uncover insights and drive decision-making processes

Bring in operational efficiencies in the existing processes by closely working with senior associates in the team.

Deliver through a structured project management approach with appropriate documentation and communication throughout the project delivery cycle.

Support the creation and maintenance of standard operating procedures and quality checklists to ensure excellent quality outputs within the function.

Deliver projects and manage internal customer expectations across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation and optimization, and ad-hoc requests.

Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI and LLM technologies.

Essential Requirements

Minimum 3 years of experience in data Science, Python, SQL, Excel, time series, Machine learning

Strong foundation in statistics, predictive analytics, machine learning, and deep learning algorithms

Proficiency in Python; familiarity with R is a plus

Proven ability to solve complex problems with creative, data-driven solutions

Comfortable working across time zones and collaborating with global teams

Excellent verbal and written communication skills for stakeholder engagement

bachelors degree in a related field

Demonstrated ability to balance strategic thinking with operational execution

Desirable Requirements

Experience collaborating with senior leadership and cross-functional teams across Marketing, Sales, and Data Enablement

Ability to thrive in a dynamic environment and adapt quickly to evolving business priorities

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: NOVARTIS
Location(s): Hyderabad

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[Full Time] Data Science Analyst II at Teleperformance (TP)

Wed, 04 Mar 2026 03:01:34 +0530

Job Description
Data Science work includes: Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets
Analysis may be applied to various areas of the business (e.g, Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc)
Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights
At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analyticsPositions on this level have comprehensive knowledge of the specific discipline or the broader area in which the position operates
Executes specialized projects and activities and typically works according to set principles
Usually generates and initiates own workload and doesn''t need instructions or guidelines
Might supervise work of less experienced professionals providing professional expertise and taking responsibility for the end-product
Positions at this level are expected to significantly improve the day-to-day activities/processes
Manages and oversees the implementation of short-term activities within the team
Decisions are of an operational nature within a defined scope
Positions on this level delivers their share of professional responsibilities focusing on professional excellence
Typically manages a team of Individual Contributor co-workers.
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Teleperformance (TP)
Location(s): Noida, Gurugram

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Senior Analyst - Data Science at American Express

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences.

This Senior Analyst role sits within Corporate Digital Acquisition Analytics , supporting the strategy, development, and optimization of personalized digital experiences for Commercial corporate prospects across Digital channels using data, advanced analytics, and emerging AI.

How will you make an impact in this role

As a Senior Analyst, you will lead analytical work that fuels the next generation of AMEX s Corporate digital acquisition engine. You will design and implement data-driven strategies, build analytical solutions to optimize targeting, personalization, and prospect conversion.

This role is ideal for someone who is passionate about digital marketing analytics, enthusiastic about emerging AI and GenAI capabilities, and eager to help shape how AMEX engages Commercial Corporate prospects in a dynamic and competitive digital landscape.

Key Responsibilities:

Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website.

Build and enhance targeting models leveraging AMEX s vast first-party data and evolving digital intelligence capabilities.

Apply emerging AI and GenAI techniques , such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.

Drive experimentation, performance measurement and Investment optimization - designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.

Develop & foster cross functional relationships with partners across American Express to ensure implementation of analytical solutions and ensure business impact.

Minimum Qualifications

masters Degree in a quantitative field (eg, Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).

1-2 years of professional work experience in Data Science and Analytics domain

Experience working with LLMs and in building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.

Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems

Excellent written and oral communication skills

Preferred Qualifications

Hands-on GenAI experience with background in Prompt Engineering, RAG architectures to solve business problems

Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.

Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.

Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc

Strong communication skills with the ability to influence partners and drive action.

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

Apply

[Full Time] Senior Power Bi Developer-SQL & Data Modeling at Infosys

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Mon, 02 Mar 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

Apply

[Full Time] Senior Specialist Data Science at Baker Hughes

Fri, 27 Feb 2026 12:00:00 +0530

Job Description
Senior Specialist - Data Science

Are you a highly motivated, creative individual and passionate about sales and proposals

Would you like to be a part of successful team

Join our team!

Baker Hughes is the leading energy technology company, who delivers across the energy value chain through our market-leading business segments. Built on a century of experience and conducting business in over 120 countries. Our innovative technologies and services are taking energy forward! Making it safer, cleaner and more efficient for people and the planet.

Partner with the best

As a Senior Specialist - Data Science, you will play a vital role in developing analytics solutions offered as part of Cordant applications. Ideal candidate will combine strong data science, statistical skill and hands on experience with developing analytics to solve real-world issues on a scale.

As a Senior Specialist Data Science, you will also be responsible for:

Work closely with SMEs, Engineering, Product, and Commercial teams to grasp analytics use case problem statements.

Analyze these challenges from a domain perspective and recommend data science, statistical, or AI-driven solutions.

Design and implement analytics solutions by applying advanced data science and statistical methods.

Establish measurable outcomes and model metrics to enhance accuracy and reliability.

Conduct exploratory analysis on large, complex datasets cleaning, preprocessing, validating data, and identifying patterns and trends.

Uphold data quality, governance, privacy standards, and advocate for the ethical use of data and AI.

Build scalable, efficient analytics models in partnership with Data, Platform, and ML Engineers.

Present insights clearly to stakeholders and leadership through visualizations, reports, and presentations detailing methodology, findings, and hypotheses.

Fuel your passion!

To be successful in this role you will:

Hold a master s or bachelor s degree in computer science or a STEM field.

Have 5-7 years of experience in analytics, including 3+ years working on enterprise-scale solutions.

Demonstrate expertise in AI/ML, statistical methods, LLM, and Gen AI analytics, Python, and related libraries.

Apply OOP concepts for analytics development.

Show familiarity with MLOps and model lifecycle management.

Work independently and drive outcomes.

Exhibit a critical system thinking and problem-solving mindset.

Effectively explain analytical ideas to non-technical audiences.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too.

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect.

Contemporary work-life balance policies and wellbeing activities.

Comprehensive private medical care options.

Safety net of life insurance and disability programs.

Tailored financial programs.

Additional elected or voluntary benefits.
The Baker Hughes internal title for this role is: Digital Technology Senior Specialist - Data Science
Job Classification
Industry: Industrial Equipment / Machinery
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Baker Hughes
Location(s): Mumbai

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[Full Time] Senior Analyst - Data Science at American Express

Thu, 26 Feb 2026 12:00:00 +0530

Job Description
The successful candidate will be responsible for developing, maintaining, and innovating algorithms that drive business impact
The role sits within commercial Decision Science team and requires strong analytical capabilities, learning agility, and a passion for exploring new ideas, techniques, and research to continuously improve existing solutions and build new ones

Responsibilities :

Develop, enhance, maintain ML algorithms and modeling solutions to support several data science and modelling use cases across credit, fraud, and risk

Research, Innovate and propose next-generation ML algorithms and algorithmic approaches by exploring emerging techniques, research papers, and industry best practices

Maintain a disciplined review process to identify opportunities for new algorithms, features, and process improvements

Partner closely with cross-functional teams to ensure effective adoption, usage, and enablement of algorithms

Monitor algorithm performance and ensure robustness, stability, and compliance with governance standards

Support documentation, validation, and audit requirements for algorithms across their lifecycle

Qualification:

Bachelors or masters degree in computer science, statistics, data science, artificial intelligence, applied mathematics, or a related field

Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL) and cloud computing environment

Hands-on experience in machine learning algorithm development or application

Prior professional experience or internships in data science are preferred

Ability to drive project deliverables to achieve business results

Ability to work effectively in a team environment

Strong communication and interpersonal skills

Ability to learn quickly and work independently on sophisticated, unstructured initiatives, with strong attention to detail

Ability to collaborate with cross-functional business partners worldwide

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Bengaluru

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[Full Time] AI/Data Science Senior Analyst at Accenture

Wed, 25 Feb 2026 12:00:00 +0530

Job Description

About The Role Title:1641:AI/Data Science Senior Analyst The Accenture Marketing + Communications Data & Analytics team delivers high value insights and analytics capabilities that empowers Marketing + Communications to be data-driven, deliver relevant experiences, and efficiently operate and optimize for ROI. This role is responsible for ideating and developing innovative data science and AI solutions to generate actionable recommendations for our client, talent and internal marketing teams. This includes collaborating with senior marketing stakeholders to understand business needs and then leading and partnering with teams of data scientists and engineers to deliver high value, high quality solutions. Job Specifications / Responsibilities

Drive the development and execution of data-driven strategies, contributing to the organization's overall goals and business objectives.

Develop and implement AI/ML models to deliver data-driven insights and innovative solutions for business stakeholders.

Translate data-driven findings into clear and concise recommendations for both technical and non-technical audiences. Enable marketing stakeholders to make strategic recommendations based on insights from data science solutions to help shape the organization's future direction.

Analyze structured as well as unstructured data using advanced analytics and NLP techniques and visualize the findings in an intuitive manner.

Ensure data quality, integrity, and privacy by implementing best practices for data collection, processing, and storage.

Contribute to a collaborative work environment that encourages knowledge sharing and cross-team collaboration.

Write clean, modular, and well-documented code in Python for model development and automation.

Support the integration of ML models into production using established MLOps practices and pipelines.

Stay curious and engaged with the latest in AI/ML"especially in fast-moving areas like LLM fine-tuning, FastAPI, and agent-based systems.

Experience &
Qualifications Education Bachelor's or master's degree in a quantitative discipline (Computer Science, Statistics, Data Science, Engineering, or related). Work Experience

2+ years of hands-on experience in applied machine learning or data science roles.

B2B marketing analytics a plus

Core Skills Required

Strong programming experience in Python, including use of libraries like Pandas, Scikit-learn, and NumPy.

Solid understanding of statistical modeling, hypothesis testing, and evaluation metrics.

Proficiency in classical machine learning techniques such as regression, classification, clustering, etc.

Experience with model deployment and MLOps workflows, including version control, testing, and monitoring pipelines.

Familiarity with SQL for data querying and preprocessing.

Prior experience with digital marketing data sources and technologies such as Adobe Analytics, Sales Force, Sprinklr and Eloqua is strongly preferred.

English language proficiency

Nice to Have / Bonus Skills

Exposure to FastAPI or building APIs for ML services.

Familiarity with LLM fine-tuning, embedding models, or retraining open-source LLMs on domain-specific data.

Early experience or strong interest in Agentic AI and frameworks enabling autonomous agents.

Experience with cloud platforms (GCP, AWS, Azure) or tools like Snowflake, BigQuery.

Other Requirements

Excellent communication, presentation, and critical thinking skills

Proven ability to successfully collaborate within and across a variety of teams

Rigorously detail-oriented with commitment to accuracy and track record of project management success

Ability to influence leadership and stakeholders through relationship-building, executive-level presence and subject matter expertise

Ability to prioritize projects with a focus on impact

Ability to operate with a high level of energy, commitment and enthusiasm to take on a complex, challenging role in a dynamic, fast-paced organization
Qualification
To be filled by recruier
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Pune

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[Full Time] Data Science Analytics Specialist - Data Science at Accenture

Wed, 25 Feb 2026 12:00:00 +0530

Job Description

About The Role

Skill required: Data Scientist - Predictive Modeling and Analytics

Designation: Data Science Analytics Specialist - Data Science

Qualifications:Any Graduation

Years of Experience:Experienced
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com

What would you do?
You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

What are we looking for?
Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Data Analyst (sql, Excel, Statistical Analysis, Basic Data Science) at Gartner

Wed, 25 Feb 2026 12:00:00 +0530

Job Description
About the role:

The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner's Business and Technology Insights business unit .This includes client value drivers: Research content, Client interaction, and the insights in conferences and events. IPA also supports the BTI organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing. We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business operationally and strategically.

We are looking for a Data analyst who has a passion for analytical problem solving to be part of our growing team. This individual will solve a wide range of problems related to content analytics, interaction and events analytics, demand sensing, staffing models, cost reporting, automation, expert performance analytics, standard reporting, and ad-hoc analytics. Individuals in this role will work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings.

What you'll do:
Partner with colleagues to do analysis that surfaces actionable insight for the BTI organization. Effectively communicate findings to drive adoption and implementation. Build dashboards and reporting.
Project ownership: Contribute to key projects following rollout plan, success criteria and metrics
Domain expertise: Become a deep subject-matter expert on Gartner's data, analytic tools, reports & data infrastructure. Take responsibility for problem-solving, root cause analysis, and devising testing methodologies for validation and articulately explaining data sources to senior audiences
Continuous improvement: Support and enable improvement initiatives related both to IPA deliverables (e.g. new, innovative data sources, analytic insights, tools) as well as operational process improvement (e.g. improving IPA processes and communications)
Collaborate with the Information Technology team and data scientists to ensure data quality, integrity, and consistency
What you'll need:
Experience: 2-3 years of experience involving analysis of large volumes of data with strong hands-on experience with analytical tools & expereince in/conceptual understanding of Data Science. Ability to gather, analyze, restructure, identify and articulate insights from qualitative and quantitative data
Education: Bachelors Degree, preferably with quantitative concentration (e.g., statistics, data science, mathematics, engineering, operational research, computer science, or economics)
Exceptional problem-solving: Proven track record of solving complex problems, thinking creatively, and using data to tell a story.
Leadership: Shown ability to engage teams and key stakeholders.
Technical competency: Advanced Excel and PowerPoint. SQL, Python/R, Databricks, Basics of Data Science
Collaboration: Strong collaboration and influencing
Communication: Strong verbal and written communication as well as the ability to work independently
Location: Candidates that apply will need to reside within a reasonable proximity to a Gartners Centers of Excellence office location (Gurgaon)

What you will get:
Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
Collaborative, team-oriented culture that embraces diversity
Professional development and unlimited growth opportunities
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Gartner
Location(s): Noida, Gurugram

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[Full Time] Data Science Practitioner at Accenture

Wed, 25 Feb 2026 12:00:00 +0530

Job Description

About The Role

Project Role :Data Science Practitioner
Project Role Description :Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills :Python (Programming Language)

Good to have skills :NA
Minimum 12 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing algorithms, and presenting insights that support strategic decision-making processes within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Python (Programming Language).- Strong understanding of machine learning algorithms and their applications.- Experience with data analysis and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Ability to work with large datasets and perform data preprocessing tasks. Additional Information:- The candidate should have minimum 12 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior AnalystManagement Level:10-Senior AnalystLocation:BengaluruMust-have skills:Prompt Engineering
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job
Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.WHATS IN IT FOR YOU
We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products.
You will be leading design and delivery on client projects.

What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.

Professional & Technical
Skills:
- Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment.
Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

Additional Information:- Opportunity to work on innovative projects.- Career growth and leadership exposure.About Our Company | Accenture

QualificationExperience:Minimum 4 Years
Educational Qualification:Minimum 15 Years of Education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Resources - Data Science Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Job Title - Data Science Analyst S&C GNManagement Level :AnalystLocation:Bangalore / Gurugram / Mumbai / Hyderabad / ChennaiMust have skills:Gen AI / ML, SQL, Python, Azure / AWS, ML OpsGood to have skills:Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest ProductJob Summary:We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product. This role requires hands-on technical expertise, and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics.Key Responsibilities. 1.Data Science and Engineering
Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data.
Build MLOps pipelines for model training / retraining, monitoring, and scalability
2.Dashboard and Reporting
Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau.
Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making.
3.Cloud Platform Expertise
Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects.
Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale.
4.Generative AI Expertise
Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex
Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications.
Architect deployment solutions, including API development and seamless integration with existing systems.
Required Qualifications
Experience:1-5 years in data science
Education:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.
Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product
Technical Skills
Programming:Proficiency in Python, SQL and Pyspark.
GenAI Expertise:
Hands-on experience in building GenAI based applications and solutions
Experience in deploying GenAI application in production.
Cloud Platforms:Experience with Azure / AWS / GCP
Visualization Tools:PowerBI / Tableau
Preferred Skills
Strong analytical and problem-solving skills with a results-oriented mindset.
Good communication and stakeholder management capabilities.
Very good in generating business insights and presenting to stakeholders.
QualificationsExperience:1-5 years in data scienceEducational Qualification:Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Data Architect at Hexaware Technologies

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Responsibilities:
7-12 years of experience in Data Modeling & Data Architecture.
Design and maintain conceptual, logical, and physical data models using ERwin or similar tools.
Develop dimensional models for analytics and 3NF models for transactional systems.
Create and manage source-to-target (S2T) mappings for ETL/ELT processes.
Write and optimize complex SQL scripts for data transformation and analysis.
Collaborate with business teams, architects, engineers, and analysts to gather and analyse requirements.
Support data integration from various source systems including APIs, flat files, and databases.
Contribute to data governance, including metadata management and data quality controls.
Prepare and maintain comprehensive documentation of data models, mappings, and design standards.
Ensure data solutions meet performance, scalability, and data security requirements.

Skills Required:
Strong hands-on experience in data architecture & data modeling
Proficiency in ERwin or similar modeling tools
Expertise in Dimensional Modeling & 3NF
Advanced SQL scripting and query optimization
Experience in ETL/ELT and S2T mapping
Excellent communication, documentation, and coordination skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Hexaware Technologies
Location(s): Pune

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

About The Role Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level:Sr. Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceJob
Summary:We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.

Cloud Platform Expertise
Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.

Data Science and Engineering
Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Required
Qualifications
Experience:3+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.About Our Company | Accenture
Qualification
Experience:3+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Lead - Data Analytics & Data Science at KNOW

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

Role Overview
We are looking for a Lead Data Analytics & Data Science to own and drive analytics initiatives end-to-end across client engagements and internal business use cases.
This is a judgment-led, client-facing leadership role. It is not a hands-on-only data scientist role and not a reporting-only MIS position.
The role requires strong commercial understanding, stakeholder manaement, and the ability to structure analytics work into scalable, repeatable capabilities.
Key Responsibilities
Own analytics engagements from discovery to delivery
Lead client discussions, scope analytics requirements, and set expectations
Translate ambiguous business problems into structured analytical frameworks
Review and validate dashboards, SQL logic, forecasting models, and assumptions
Ensure insights are actionable and decision-oriented
Mentor junior analysts and standardize reporting templates and processes
Build scalable forecasting and predictive analytics capabilities
Collaborate with leadership and engineering teams to align analytics with product and operations
Must Have Qualifications
610 years of experience in data analytics, business analytics, or analytics consulting
Experience owning analytics delivery for business stakeholders or clients
Strong SQL skills and working knowledge of Power BI or Tableau
Exposure to forecasting, predictive analytics, or statistical analysis
Experience defining KPIs and building decision-ready dashboards
Ability to challenge assumptions and push back on unclear requirements
Experience mentoring or guiding analysts
Preferred Background
Experience in retail, F&B, quick commerce, B2C apps, or operations-heavy environments
Experience working with cross-functional leadership teams
Exposure to AI-assisted workflows or advanced analytics initiatives
What This Role Is Not
Not a pure data engineer role
Not a BI dashboard developer role
Not a product management role
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: KNOW
Location(s): Chennai

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[Full Time] S&c Global Network - Ai - Cg&s - Consultant Data Science at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

About The Role
Job Title:Industry & Function AI Data Engineer + S&C GNManagement Level:09 - ConsultantLocation:Primary - Bengaluru, Secondary - GurugramMust-Have Skills:Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworksGood-to-Have Skills:LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc.Job Summary:As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. Your work will ensure high-quality, reliable data is accessible for actionable insights. This involves leveraging technical expertise, collaborating with stakeholders, and staying updated with the latest tools and technologies to deliver scalable and efficient data solutions.Roles & Responsibilities:
Build and Maintain Data Infrastructure:Design, implement, and optimize scalable data pipelines and systems for seamless ingestion, transformation, and storage of data.
Collaborate with Stakeholders:Work closely with business teams, data analysts, and data scientists to understand data requirements and deliver actionable solutions.
Leverage Tools and Technologies:Utilize Python, SQL, PySpark, and ETL frameworks to manage large datasets efficiently.
Cloud Integration:Develop secure, scalable, and cost-efficient solutions using cloud platforms such as Azure, AWS, and GCP.
Ensure Data Quality:Focus on data reliability, consistency, and quality using automation and monitoring techniques.
Document and Share Best Practices:Create detailed documentation, share best practices, and mentor team members to promote a strong data culture.
Continuous Learning:Stay updated with the latest tools and technologies in data engineering through professional development opportunities.
Professional & Technical Skills:

Strong proficiency in programming languages such as Python, SQL, and PySpark
Experience with cloud platforms (AWS, Azure, GCP) and their data services
Familiarity with ETL frameworks and data pipeline design
Strong knowledge of traditional statistical methods, basic machine learning techniques.
Knowledge of containerization tools (Docker, Kubernetes)
Knowing LLM, RAG & Agentic AI architecture
Certification in Data Science or related fields (e.g., AWS Certified Data Analytics Specialty, Google Professional Data Engineer)

Additional Information:The ideal candidate has a robust educational background in data engineering or a related field and a proven track record of building scalable, high-quality data solutions in the Consumer Goods sector.This position offers opportunities to design and implement cutting-edge data systems that drive business transformation, collaborate with global teams to solve complex data challenges and deliver measurable business outcomes and enhance your expertise by working on innovative projects utilizing the latest technologies in cloud, data engineering, and AI.About Our Company | Accenture Qualification Experience:Minimum 3-7 years in data engineering or related fields, with a focus on the Consumer Goods Industry
Educational Qualification:Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cmt - Consultant Data Science at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description
Job Title - S&C Global Network - AI - CMT - Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills:CMT Analytics
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job
Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.
Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.
Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem.
Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.
Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.
Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints.
Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
Should be able to travel or relocate to Japan as per business requirement.

Professional & Technical
Skills:
- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Demonstrated experience in solving real-world data problems through Data & AI
Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.
Execution level understanding of econometric/statistical modeling packages
Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.
Knowledge of Deep learning modeling techniques like RNN, CNN etc.
Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI
Proficient in Excel, MS word, Power point, and corporate soft skills
Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc.
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.
Strong analytical, problem-solving skills and good communication skills
Self-Starter with ability to work independently across multiple projects and set priorities
Strong team player Proactive and solution oriented, able to guide junior team members.
Execution knowledge of optimization techniques is a good-to-have
Exact optimization Linear, Non-linear optimization techniques
Evolutionary optimization Both population and search-based algorithms
Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | AccentureQualification Experience: 8-10Years
Educational Qualification: Any Degree
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Analyst at Accenture

Tue, 24 Feb 2026 12:00:00 +0530

Job Description

About The Role About The Role TemplateJob Title - Decision Science Practitioner Analyst S&C GN Management Level:Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceExperience:2+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field Job Summary:We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise
Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering
Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.
Qualification
Required
Qualifications
Experience:2+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Advanced Data Science Associate Consultant at ZS

Mon, 23 Feb 2026 12:00:00 +0530

Job Description
What you'll do: Advanced Data Science Associate Consultant in the Insights & Analytics will
Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information
Collaborate with clients and other ZS stakeholders to effectively integrate and communicate analysis findings
Contribute to the evaluation of emerging datasets and technologies that may contribute to our analytical platform
Evaluating emerging datasets and technologies that may contribute to our analytical platform
Owning the development of select assets/accelerators for efficient scaling of capability, with a focus on leveraging generative AI and deep learning
methodologies.
Integrate engineering principles into data science workflows, optimizing algorithms for performance, scalability, and maintainability.
Collaborate with the engineering team to implement and deploy data science solutions into production, ensuring seamless integration with existing systems.
Utilize software engineering best practices for version control, code review, testing, and documentation to maintain high-quality, reliable, and reproducible
data science workflows.
What youll bring:
Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required.
3-6 years of Data Science experience, including proficiency in generative AI, deep learning, statistical techniques, and engineering integration for scalable solutions.
Knowledge of programming (e.g. Java/Python/R);
Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
Excellent oral and written communication skills.
Strong attention to detail, with a research-focused mindset;
Excellent critical thinking and problem-solving skills;
High motivation, good work ethic and maturity.
Exposure to Generative AI and its usage to solve problems is a plus.
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ZS
Location(s): Pune

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[Full Time] Sr Associate-Data Science at Cognizant

Mon, 23 Feb 2026 12:00:00 +0530

Job Description

Job Summary
We are seeking a Sr Associate-Data Science with 6 to 10 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Generative AI and domain experience in Payer. This role involves leveraging data science techniques to drive insights and innovation contributing to the companys mission of enhancing healthcare solutions. The position operates during the day shift and does not require travel.

Responsibilities

Develop and implement data science models using Generative AI to enhance decision-making processes in the Payer domain.

Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.

Analyze large datasets to extract actionable insights and present findings to stakeholders.

Design and execute experiments to test hypotheses and validate models.

Provide technical expertise in data science methodologies and tools to support project objectives.

Ensure data quality and integrity by implementing robust data governance practices.

Monitor and evaluate model performance making adjustments as necessary to improve accuracy and efficiency.

Communicate complex data-driven insights in a clear and concise manner to non-technical audiences.

Stay updated with the latest advancements in data science and Generative AI to continuously improve skills and knowledge.

Contribute to the development of best practices and standards for data science projects within the organization.

Support the integration of data science solutions into existing systems and processes.

Work closely with IT and data engineering teams to ensure seamless data flow and accessibility.

Drive innovation by exploring new data sources and techniques to enhance analytical capabilities.

Qualifications

Possess a strong background in Generative AI with proven experience in applying it to real-world problems.

Demonstrate expertise in the Payer domain understanding its unique challenges and opportunities.

Hold a degree in Data Science Computer Science or a related field with a focus on advanced analytics.

Exhibit proficiency in programming languages such as Python or R for data analysis and model development.

Showcase experience with data visualization tools to effectively communicate insights.

Have a track record of successfully leading data-driven projects from conception to implementation.

Display excellent problem-solving skills and the ability to think critically about complex issues.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Cognizant
Location(s): Chennai

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[Full Time] Lead II - Data Science - Data Analyst at UST

Sun, 22 Feb 2026 12:00:00 +0530

Job Description
Job Description for Senior Data Analyst:

8+ years of professional experience as a Data Analyst, Product Analyst, or similar role.

Deep hands on experience with Amplitude behavioral analytics, funnels, experiments, cohorts, journeys, retention analysis, etc.

Strong statistical and analytical capability (A/B testing, hypothesis testing, segmentation).

Strong SQL skills and experience working with large datasets.

Experience with data visualization tools (Power BI, Tableau, Looker or similar).

Ability to turn raw data into clear stories and actionable recommendations.

Excellent written and verbal communication skills.

Highly analytical mindset with attention to detail.

Strong problem solving skills and sense of ownership.

Ability to work in a fast paced, collaborative environment.

Passion for product thinking and continuous improvement.

Product & User Analytics

Leverage Amplitude to analyze user behavior, product funnels, retention, activation, and engagement trends.

Build and maintain dashboards, cohorts, behavioral reports, and custom event analytics.

Work with product managers to identify opportunities for improving user experience and product adoption.

Data Insights & Decision Support

Translate complex data findings into actionable insights for business and product stakeholders.

Conduct deep-dive analyses to uncover trends, anomalies, and strategic opportunities.

Present insights in a clear, structured manner to leadership and cross-functional teams.

Data Management & Quality

Own end to end data validation, event instrumentation requirements, and governance for product analytics.

Collaborate with engineering teams to ensure accurate data tracking, schema design, and event taxonomy.

Metrics & Reporting

Define key product metrics (KPIs) and establish robust reporting mechanisms.

Build automated reports and dashboards using Amplitude and BI tools (Power BI/Tableau/Looker).

Cross Functional Collaboration

Work closely with Product, UX, Engineering, Marketing, and Leadership teams to drive data-informed decisions.

Communicate findings effectively to both technical and non-technical stakeholders.

Required Skills
data analytics,sql,amplitude,data visualization,
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: UST
Location(s): Thiruvananthapuram

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[Full Time] Power Bi Developer at Tiger Analytics

Wed, 18 Feb 2026 03:09:37 +0530

Job Description
5-7 years of overall experience with 2+ years of relevant experience in the Power BI development space.
Real-time experience working in Power BI that includes Model Creation, DAX (including Advanced), RLS Implementation, Performance Tuning, and Security.
Comprehensive knowledge of SQL.
Exposure to ETL tools & good understanding of DBMS & OLAP are value additions.
Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.
Adept understanding of any of the cloud services is preferred (Azure).

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tiger Analytics
Location(s): Hyderabad

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[Full Time] Director, Group Lead, Data Surveillance, Clinical Data Sciences at Pfizer

Tue, 17 Feb 2026 12:00:00 +0530

Job Description
ROLE SUMMARY

As part of the Clinical Data Sciences group, an integral delivery unit within the Clinical Development & Operations (CD&O) organization, the Director, Group Lead, Data Surveillance, is responsible for delivery of all technical and operational aspects of RBM, including timely and high-quality risk-based monitoring analytics supporting the Pfizer portfolio. The Director, Group Lead, Data Surveillance will manage the Central Monitoring groups, providing oversight of central monitoring deliverables and managerial oversight of Central Monitors. The Central Monitors will support an approach to clinical trial monitoring which utilizes data and site level information to determine needs for performing on-site, remote and centralized activities and focuses resources on risks that have the most potential to impact patients safety and data quality.

Overall, responsible for defining, delivering and executing the enterprise level RBM implementation plan including strategy and process definition, technology implementation, training, enterprise change management, and communication plan

ROLE RESPONSIBILITIES

Define and drive global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality processes to deliver high quality clinical data

Plan and execute communication plans & methods to ensure customer satisfaction and enable improvements to be implemented during the course of a project

Develop charters, resource utilization and project plans to achieve CDS specific goals

Develop people, including recruitment, retention, and career development and performance management

Able to resolve conflicts, influence and communicate cross-functionally with key stakeholders and customers.

Provides administrative and central monitoring technical and process oversight of teams

Implements organizational design and develop succession planning for RBM in collaboration with other functional leaders

Oversee all technical aspects required to set up and test study level Risk-based Monitoring system

Anticipates, oversees and influences change to position efficient, high-quality implementation of required data flows to incorporate internal and external data sources into Pfizer informatics environment ensuring operational delivery and traceability from source. Ensures appropriate process and documentation are in place to support inspection readiness.

Act as the key scientific and technical central monitoring expert; drive central monitoring strategy within Pfizer s risk-based model, defining central monitoring standards for the asset, Therapeutic Areas (TA), or global organization.

Serve as Subject Matter Expert (SME) for and oversee the central monitoring activity for one or more asset. Train and mentor colleagues and study teams on central monitoring techniques and strategy.

BASIC QUALIFICATIONS

Bachelor s Degree. Degree in Life Sciences, Informatics, Computer Science, Statistics, or related business degree with equivalent experience preferred.

Demonstrated relevant experience in a pharmaceutical, biotech, Contract Research Organization (CRO), or Regulatory Agency with an emphasis on building data collection and assimilation solutions.

Demonstrated experience managing complex projects and developing successful partnerships within and across functional areas.

Demonstrated successful experience in all relevant clinical trial activities in a Bio Pharmaceutical or CRO setting

Working knowledge of all phases of clinical trials and multiple indications and/or therapeutic areas. Ability to assess and determine study requirement from protocol review

Strong Project and Risk Management

Understanding of regulatory requirements and relevant data standards.

Strong communication, decision-making, influencing, negotiation, and project management skills.

Technical skill and experience using relational databases and data visualization tools, e.g. Spotfire, JReview.

PREFERRED QUALIFICATIONS

Master s degree.

Strong people management experience. Proven leadership in a global, matrix environment.

Broad exposure to programming in a clinical trial environment, e.g. Python, R, SAS, SQL, EDC systems.

Preferred 15 or more years relevant experience including team management responsibilities.

Knowledge of clinical research, FDA & ICH, GCP, GCDMP, and related regulatory requirements

CDISC (Clinical Data Interchange Standards Consortium) knowledge and experience

Proficient experience using commercial RBQM systems (e.g. CluePoints)

Experience with one or more programming languages (e.g. SAS, Python, R) and data visualization tools (e.g. Spotfire, jReview, Tableau)

Knowledge of risk-based monitoring principles and associated analytics/metrics

Strong verbal and written communication skills; independently and effectively in multi-study, multi-disciplinary atmosphere in a matrix environment

Bachelor s degree required. Degree in scientific, technical or analytic field preferred. Master s degree preferred.

Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Medical
Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Pfizer
Location(s): Chennai

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[Full Time] Snowflake Data Engineer at Citiustech

Mon, 16 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibilities :
Design, develop, test, deploy and maintain large-scale data pipelines using Snowflake as the primary database.
Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions on time.
Develop complex SQL queries to extract insights from large datasets stored in Snowflake tables.
Troubleshoot issues related to data quality, performance tuning, and security in Snowflake environment.
Job Requirements :
5-10 years of experience in designing and developing ETL processes using various tools such as Informatica PowerCenter or Talend ETL.
Strong understanding of SQL programming language and ability to write efficient queries for querying large datasets.
Experience working with cloud-based platforms like Azure Data Factory (ADF) or similar technologies is an added advantage.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Citiustech
Location(s): Mumbai

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[Part Time] Online Data Analyst Tamil Maps Freelance Project at TELUS Digital

Sun, 15 Feb 2026 12:00:00 +0530

Job Description
Job description
Job Title: Online Data Analyst _Tamil Maps Freelance Project
Job Description:
Are you a research-oriented and detail-focused individual with a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace from the comfort of your home.
About the Role:
As an online data analyst, you will work on a project aimed at improving the content and quality of digital maps used by millions worldwide. Your tasks will include research and review work in a web-based environment, such as data verification, comparison, and determining information relevance and accuracy.
Join Our Team:
We are a dynamic and innovative team working towards creating positive change globally. Our AI community is a vibrant network of over 1 million individuals from diverse backgrounds who help our clients with data collection, improvement, training, translation, and localization to develop high-quality models.
Qualification Path:
No professional experience is required to apply for this role. You will need to meet basic requirements and pass a qualification process before starting work. This is a part-time, long-term project, and your work quality will be evaluated according to our review principles.
Basic Requirements:
- Ability to read and write in Tamil and basic proficiency in English
- Familiarity with current and historical business, media, sports, news, social media, and cultural issues in India
- Ability to follow instructions and conduct research using search engines, online maps, and websites
- Flexibility to work on various tasks such as mapping, news content, audio tasks, and information relevance
- Daily access to a broadband internet connection, computer, and relevant software

Assessment:
To be selected, you will need to complete an open-book test that assesses your suitability for the role and pass an identity verification process. Our team will provide guidelines and educational materials before the test.

Equal Opportunity:
All eligible candidates will be considered for contractual engagement without regard to race, color, religion, sex, sexual orientation, gender identity, nationality, disability, or protected veteran status. We take pride in providing equal opportunities and are committed to building a diverse and inclusive community.

Compensation
$4 to $5 per hour

Role: Data Science & Analytics - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Part Time, Freelance/Homebased
Role Category: Data Science & Analytics - Other
Education
UG: Any Graduate
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Part time
Contact Details:
Company: TELUS Digital
Location(s): India

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Delhi Career Fair - Applications invited For Data Architect at Exxon Mobil

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Job Title - Data Architect

Dear Candidates,

Greetings from ExxonMobil!
ExxonMobil is organizing scheduled in-person interviews at Delhi
on 28th February & 1st March 2026 for Data Architect.

Work Location: Bengaluru (Last date to apply is February 20, 2026)

Note: Shortlisted candidates will receive an interview invitation letter from recruiting team.

Please copy and paste the below link into your browser to apply for the position in the company website.

Link to apply: https://jobs.exxonmobil.com/job-invite/82899/

What you will do

Data Architecture Design:

Develop and maintain enterprise-level data architecture, including conceptual, logical, and physical data models.

Data Integration & Management:

Design and implement data pipelines, ETL processes, and integration strategies for structured and unstructured data sources.

Governance & Compliance:

Establish data governance frameworks, ensure compliance with data privacy regulations (GDPR, HIPAA, etc.), and maintain data quality standards.

Performance Optimization:

Optimize database performance, storage, and retrieval processes for high availability and scalability.

Collaboration:

Work closely with data engineers, analysts, and business teams to translate business requirements into technical solutions.

Technology Evaluation:

Assess and recommend tools, platforms, and technologies for data management and analytics.

About You

Skills and Qualifications

Bachelors or masters degree from a recognized university in Computer/IT other relevant engineering disciplines.
Minimum 10+ years of experience with data processing / analytics, and ETL data transformation. Proficient in ingesting data to/from Snowflake, Azure storage account.
Proficiency in at least one of the following languages: Python, C#, C++, F#, Java.
Proficiency in SQL and NoSQL databases. Knowledge of SQL query development and optimization.
Demonstrated experience Snowflake, Qlik Replicate, Fivetran, Azure Data Explorer.
Cloud azure experience (current/future) used (ADX, ADF, Databricks).
Expertise with Airflow, Qlik, Fivetran, Azure Data Factory.
Management of Snowflake through DBT scripting.
Solid understanding of data strategies, including data management, data curation, and data governance.
Ability to quickly build relationships and credibility with business customers and agile teams.
A passion for learning about and experimenting with new technologies.
Confidence in creating and delivering technical presentations and training.
Excellent organization and planning skills
Preferred Qualifications/ Experience
Experience with Airtable platform is a plus
Working knowledge of Azure Databricks
Working knowledge of various data storage technologies
Working knowledge of big data tools (e.g., Hadoop, MongoDB, Kafka, HDFS, YARM, etc.)
Working knowledge of Containers Technologies (OpenShift, Docker, Kubernetes)

Please copy and paste the below link into your browser to apply for the position in the company website.

Link to apply: https://jobs.exxonmobil.com/job-invite/82899/

Thanks & Regards,
Anita Bhati
Job Classification
Industry: Oil & Gas
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ExxonMobil
Location(s): Bengaluru

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[Full Time] Data Science Assoc Analyst at Pepsico

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Overview Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities
Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
Active contributor to code & development in projects and services
Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
Partner with ML engineers working on industrialization.
Communicate with business stakeholders in the process of service design, training and knowledge transfer.
Support large-scale experimentation and build data-driven models.
Refine requirements into modelling problems.
Influence product teams through data-based recommendations.
Research in state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create reusable packages or libraries.
Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
Automate ML models deployments

Qualifications
BE/B.Tech in Computer Science, Maths, technical fields.
Overall 2-4 years of experience working as a Data Scientist.
2+ years experience building solutions in the commercial or in the supply chain space.
2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
Fluent in SQL syntaxis.
2+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
2+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
Programming Skills Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
Cloud (Azure) Experience in Databricks and ADF is desirable
Familiarity with Spark, Hive, Pig is an added advantage
Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
Experience with Agile methodology for team work and analytics product creation.
Experience in Reinforcement Learning is a plus.
Experience in Simulation and Optimization problems in any space is a plus.
Experience with Bayesian methods is a plus.
Experience with Causal inference is a plus.
Experience with NLP is a plus.
Experience with Responsible AI is a plus.
Experience with distributed machine learning is a plus
Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
Model deployment experience is a plus
Experience with version control systems like GitHub and CI/CD tools
Experience in Exploratory data Analysis
Knowledge of ML Ops / DevOps and deploying ML models is preferred
Experience using MLFlow, Kubeflow etc. will be preferred
Experience executing and contributing to ML OPS automation infrastructure is good to have
Exceptional analytical and problem-solving skills
Stakeholder engagement-BU, Vendors.
Experience building statistical models in the Retail or Supply chain space is a plus
Job Classification
Industry: Beverage
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Pepsico
Location(s): Hyderabad

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[Full Time] AbInitio Developer(5-10 Years) at Infosys

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibilities:
Design, develop, test, deploy, and maintain ETL processes using Ab Initio.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
Troubleshoot issues related to data processing, workflow management, and system performance.
Participate in code reviews and ensure adherence to coding standards.
Develop complex SQL queries to extract insights from large datasets.

Location: PAN INDIA
Experience: 5-10 Years
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Pune

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[Full Time] Aws Data Engineer (5-12 Years) at Infosys

Fri, 13 Feb 2026 12:00:00 +0530

Job Description
Infosys Hiring forAWS Developer

Experience:5-10 Years

Skills Required: AWS, AWS LAMDA, AWS GLUE

Location: Pan India

Education: BTech/BE, MTech/ME, BSc/MSc, BCA/MCA
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Pune

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[Full Time] S&c Gn - Data&ai - Hi Tech - Data Science - Consultant at Accenture

Wed, 11 Feb 2026 14:48:41 +0530

Job Description
Job Title - S&C Global Network - AI - Hi Tech - Data Science ConsultantManagement Level:9-Team Lead/ConsultantLocation:Hyderabad, HDC2AMust-have skills:Data Science
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job
Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.WHATS IN IT FOR YOU
We are seeking a skilled and experienced Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products.

What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Develop and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.

About Our Company | AccentureQualification
Professional & Technical
Skills:
- Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment.
Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

Additional Information:- Opportunity to work on innovative projects.- Career growth and leadership exposure.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Marketing Analytics Professional Intern - Data science at IBM

Wed, 11 Feb 2026 13:28:41 +0530

Job Description

Our Marketing, Communications & Corporate Social Responsibility (MCC) team tells this story and is responsible for positioning IBM in the market. We define and optimize IBMs brand, capture the markets attention, and articulate our point of view for clients, partners, the media, and even other IBMers. As part of our team, you'll be surrounded by bright minds and keen collaborators always willing to help and be helped as you apply passion to work that will compel our audience to choose IBM's products and services.

As a Marketing Data Scientist & Data Analytics Intern, youll work collaboratively, as part of a team, on a project that addresses a strategic IBM Marketing business challenge. This is a highly visible intern program with leadership exposure throughout the summer. In addition to the project, the internship includes learning and networking opportunities.
This role supports our Marketing Data Science and analytics team, which is responsible for building intelligence that powers and orchestrates performance across tactics and buyer groups. As an intern, you will get exposure to all aspects of marketing, from early-stage audience targeting via paid media investment, to capturing demand through our web presence, to response to lead management and sales analytics.
This role will involve:
Develop scalable analytical solutions that provide data-driven and optimization insights
Work with large, complex data sets and extract knowledge or insights to solve complex, non-routine analysis problems, applying advanced analytical methods as needed
Conduct end-to-end analysis that includes industry research, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
Develop, design and present data-driven optimization recommendations via dashboards, reports, and analyses
Communicate insights to team members, other marketing groups, and IBM leadership.

Required education

Bachelor's Degree

Required technical and professional expertise

Currently pursuing a post graduate degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, applied mathematics / statistics, mathematical computing, operations research) or currently pursuing MBA/M.Tech having undergraduate degree in quantitative disciplines as mentioned above
Experience using technology to work with datasets such as Scripting, Python, Statistical software (SPSS, SAS, R, or similar)
Data Visualization Tools (PowerBI, Tableau, etc)
Fluent in English; strong written and verbal communication skills

Preferred technical and professional experience

Knowledge of and experience in working with large data sets and applying data mining / predictive modelling techniques to extract meaningful insights
Basic knowledge of marketing or related field
Passion for advancements in Data Science and Predictive Analytics
A strategic, consultative, data-driven mindset
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: IBM
Location(s): Bengaluru

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[Full Time] Lead / Principal AWS Cloud Engineer - Remotely Working at Tech Mahindra

Wed, 11 Feb 2026 12:39:43 +0530

Job Description

Mandatory Requirements
AWS Certified Solutions Architect Professional (non-negotiable).
Strong software engineering background (Python, Boto3, AWS SDKs).
Core AWS Native Development Experience
Hands-on product/application development using:
SageMaker (ML model training, deployment, pipelines).
Glue (ETL workflows, data integration).
Bedrock (generative AI applications, LLM integration).
OpenSearch (search-driven applications, analytics).
Proven use of Lambda, API Gateway, DynamoDB, Step Functions for serverless application development.
Application Development Focus
Evidence of building software products (not just infra setup).
Experience in microservices, event-driven architectures, and API design.
Ability to write production-grade code with testing and CI/CD integration.
AI/ML & Generative AI
Practical project experience in AI/ML workloads (recommendation engines, NLP apps, generative AI chatbots).
Integration of AWS AI services into real applications.
Leadership & Collaboration
Experience leading application development teams.
Conducted Well-Architected Reviews or similar governance activities.
Strong stakeholder engagement and cross-functional collaboration.
Recommended Steps:
Reject infra-only profiles (focused on migrations, IaC, DevOps automation without product development).
Prioritize developers who explicitly mention SageMaker, Glue, Bedrock, and OpenSearch in project work.
Ensure candidates demonstrate both coding depth and AWS-native solutioning.
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Tech Mahindra
Location(s): Hyderabad

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[Full Time] Data Science (DL + Voice) Professional at Paytm

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibility

Develop and implement data-driven solutions to complex business problems.

Lead and manage a team of data scientists to achieve project goals.

Collaborate with cross-functional teams to identify business opportunities and challenges.

Design and implement data models and algorithms to drive business outcomes.

Communicate technical insights and recommendations to senior leadership.

Stay up-to-date with industry trends and emerging technologies.

Job Requirements

Strong experience in management consulting, preferably in the IT services or healthcare industry.

Proven track record of driving business growth through data-driven solutions.

Excellent leadership and communication skills, with the ability to motivate and inspire a team.

Strong analytical and problem-solving skills, with the ability to work with large datasets.

Experience with data modeling, algorithm development, and statistical analysis.

Ability to communicate complex technical concepts to non-technical stakeholders.

Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Bengaluru

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[Full Time] Power Bi Developer (Pan India) at Infosys

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Job description

Hiring for Power BI Developer

Mandatory Skills: PowerBi, Dax, GCP

EXPERIENCE: 5-9 YEARS

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Education: BTECH/BE, BCA/MCA, BSC/MSC, MTECH/ME

Location: Pan India
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Intern - Data Science at Paytm

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibility
Collaborate with cross-functional teams to design and develop advanced data science models and algorithms.
Develop and maintain large-scale data systems and architectures to support business intelligence and analytics.
Work closely with stakeholders to identify business problems and develop solutions using advanced data science techniques.
Design and implement data quality checks and validation processes to ensure data integrity and accuracy.
Stay up-to-date with industry trends and emerging technologies in advanced data science.
Participate in code reviews and contribute to improving overall code quality.
Job Requirements
Strong understanding of advanced data science concepts and techniques, including machine learning, deep learning, and natural language processing.
Experience with programming languages such as Python, R, or Java, and relevant libraries and frameworks.
Excellent problem-solving skills and ability to analyze complex data sets and develop insights.
Strong communication and collaboration skills, with the ability to work effectively with stakeholders and team members.
Ability to manage multiple projects simultaneously and meet deadlines.
Strong attention to detail and ability to deliver high-quality results.
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Bengaluru

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[Full Time] Data Science Professional (Voive + Text) at Paytm

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibility
Develop and implement advanced data models and algorithms to solve complex problems.
Collaborate with cross-functional teams to design and deploy new features and products.
Analyze large datasets to identify trends and patterns, providing actionable recommendations.
Design and implement data visualizations to communicate insights to stakeholders.
Work closely with the product team to understand customer needs and develop targeted solutions.
Stay up-to-date with industry trends and emerging technologies to continuously improve processes.
Job Requirements
Strong proficiency in programming languages such as Python or R.
Experience with data analysis tools like SQL and statistical modeling techniques.
Knowledge of machine learning algorithms and deep learning techniques.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a fast-paced environment.
Strong communication and interpersonal skills to effectively present complex ideas.
Job Classification
Industry: Banking
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Paytm
Location(s): Bengaluru

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[Full Time] Data Scientist at Primera Medical

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Position: Data Scientist / Senior Data scientist - Generative AI & LLM
Location: Hyderabad
Department: Data Science
Position Type: Full-Time
Experience Level: 4-10 years
We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative team. The ideal candidate will possess a strong background in Large Language Models (LLM) with a focus on generative AI, prompt engineering, and the development of automation use cases. Experience with Azure's GPT-4 or ChatGPT platforms is essential. Full stack development skills and proficiency in .NET will be considered a strong asset. This role requires a creative and analytical mindset to retrain LLMs using curated data sets.

Role & responsibilities
Develop and implement advanced algorithms for generative AI models, ensuring high standards of quality and innovation.
- Expertly craft prompts and fine-tune generative AI to optimize performance for various tasks.
- Design and deploy automation solutions using Azure GPT services, streamlining business processes.
- Collaborate with cross-functional teams to integrate AI solutions with full-stack development tools, utilizing .NET when applicable.
- Lead the process of retraining LLMs with curated datasets to meet specific objectives for the business case.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies, continuously driving improvement and innovation.
- Mentor junior data scientists and engineers, providing guidance on best practices in AI.
Preferred candidate profile

Bachelor/Masters or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 4-10 years of professional experience in data science with a focus on generative AI and Large Language Models.
- Proven track record of working with Azure's GPT services, ChatGPT, or similar platforms.
- Experience in prompt engineering and fine-tuning LLMs for specialized applications.
- Strong programming skills, including experience with full-stack development tools. Proficiency in .NET is highly desirable.
- Demonstrated ability to work with curated datasets for retraining purposes, with a specific focus on enhancing the performance of LLMs.
- Excellent problem-solving skills, with the ability to work independently and as part of a team.
- Strong communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.

Please share your resumes at yramadugu@primehealthcare.com.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Primera Medical
Location(s): Hyderabad

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[Full Time] Data Engineer at ITC Infotech

Wed, 11 Feb 2026 12:00:00 +0530

Job Description
Role & responsibilities
We are looking for a Data Engineer with 2+ years of experience in Azure-based data platforms to support and enhance our Data Availability initiatives. The role involves building, maintaining, and optimizing data pipelines and ensuring reliable, timely, and scalable data delivery across analytics and reporting platforms.

Key Responsibilities
Design, develop, and maintain data pipelines using Azure Data Factory (ADF) and Azure data services
Build and manage end-to-end data ingestion and transformation workflows
Ensure high data availability, reliability, and performance across data platforms
Work with Azure Databricks / Synapse / Microsoft Fabric for data processing and transformation
Monitor pipeline executions and troubleshoot failures and performance issues
Implement data quality checks and validation rules
Optimize existing pipelines and data workflows for efficiency and cost
Collaborate with architecture, analytics, and business teams to support data requirements
Support data onboarding and integration from multiple source systems
Maintain documentation for pipelines, data flows, and processes

Required Skills
Hands-on experience with Azure Data Factory / Data Pipelines
Strong knowledge of Azure data platform services
Experience with at least one of:
Azure Databricks
Azure Synapse Analytics
Microsoft Fabric
Good understanding of data ingestion and transformation patterns
Proficiency in SQL
Basic to intermediate Python knowledge (preferred)
Experience working with structured and semi-structured data
Understanding of ETL/ELT concepts
Experience with monitoring and troubleshooting data jobs
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ITC Infotech
Location(s): Bengaluru

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[Full Time] AWS Data Architect at Virtusa

Wed, 11 Feb 2026 11:26:57 +0530

Job Description
AWS Data Architect
The AWS Data Architect is responsible for the blueprinting and governance of our enterprise data assets. You will design high-performance data structures that enable seamless analytics, machine learning, and reporting across the Chase ecosystem. Your focus is on data strategy, schema design, and integration patternsensuring our data is a reliable, high-velocity asset rather than a storage liability.
Technical Skills & Qualifications
Modern AWS Data Stack: Deep proficiency in AWS Glue, Amazon Redshift (RA3 nodes), Amazon Athena, and Lake Formation.
Advanced SQL & Optimization: Expert-level SQL skills, including the ability to tune complex queries and design optimal distribution keys in distributed databases.
Data Integration (ETL/ELT): Strong experience in designing ELT patterns where transformation happens within the cloud warehouse to leverage compute scale.
Governance & Privacy: Experience with data masking, tokenization, and fine-grained access control to meet stringent financial regulatory requirements.
NoSQL & Search: Understanding of when to utilize DynamoDB for low-latency lookups versus OpenSearch for complex indexing.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Virtusa
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Wed, 11 Feb 2026 06:31:55 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] S&c Gn - T&o - Oa - Nlp Data Science & Genai - Analyst at Accenture

Wed, 11 Feb 2026 02:46:52 +0530

Job Description
About The Role About The Role Job Title - Organizational Analytics- NLP Gen AI - Analyst- T&O- (S&C GN)Management Level:11 - Analyst Location:Gurgaon, Mumbai, BangaloreMust have skills:NLP OR Natural Language Processing OR Gen AI OR Generative AI OR LLM
Good to have skills:Workforce, people analytics Experience:Minimum 2-4 year(s) of experience is required
Educational Qualification:Any Master's degree Full time Job Summary:Although no two days at Accenture are the same, as an Organizational Analytics (OA) Analyst in our Talent & Organization (T&O) practice, a typical day might include:Comfortable with developing and deploying data-driven solutions to People transformation efforts for Accenture's Global and Local clientsRoles & Responsibilities:
Engage with clients to understand their challenges, requirements and concerns to determine the best OA solution
Identify, analyze, and interpret trends or patterns in complex data sets to develop business solutions
Define data-backed people strategies to support business transformational programs
Co-create solutions and assist clients in developing action plans
Build strong relationships with clients and foster business growth
Contribute to T&O practice-building efforts
Professional and Technical Skills:

2 to 4 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)
Working knowledge on interpreting Natural Language Processing (NLP) based ML model results
Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage.
Data fluency and working knowledge of statistical methodologies.
Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.
Data interpretation with working knowledge of analytic models and digital tools
Fluency in English is required, additional language capabilities are highly advantageous
Ability to perform in a non-structured and dynamic environment

Additional Information:
Natural leader; easily establishes relationships with clients and colleagues.
Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world.
Determined; appreciates a challenge and overcoming obstacles to achieve results.
Digitally savvy; continuous learner.
A transparent career path designed for rapid career progression.
A supportive culture that is serious about training, coaching and continuous learning.
A global network where only state-of-the-art tools and technologies will do.
A bighearted environment with opportunities to give back to our local communities.
About Our Company | Accenture Qualification
2 to 4 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)
Working knowledge on interpreting Natural Language Processing (NLP) based ML model results
Good to have NLP project exposure on any domain. Knowing to run python-based ML algorithms is an added advantage.
Data fluency and working knowledge of statistical methodologies.
Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.
Data interpretation with working knowledge of analytic models and digital tools
Fluency in English is required, additional language capabilities are highly advantageous
Ability to perform in a non-structured and dynamic environment
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Tue, 10 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Urgent hiring-AML Model Development- Bangalore, Gurgaon at Genpact

Mon, 09 Feb 2026 12:00:00 +0530

Job Description
Ready to shape the future of work?
At Genpact, we don't just adapt to change we drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how were scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team thats shaping the future, this is your moment

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the worlds biggest brandsand we have fun doing it. Now, we are calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it.

Inviting applications for the role of Model Validation analyst, Analytics (Manager/ Assistant Manager)
Responsibilities
In this role, the candidate would be required to carry out end-to-end validation of credit risk models including the evaluation of the models from qualitative and quantitative standpoint and summarizing the findings in a report.

Responsibilities
Evaluate adequacy of theoretical framework and model design. Conduct research as required and provide supporting materials (white papers/ Fed/ OCC publications) to either support or reject a modeling framework
Familiarize oneself with applicable banking regulations for assessing capital adequacy, stress testing, provisioning etc. CCAR, CECL
Evaluate accuracy and support for key assumptions and data
Conduct replication of model results to confirm accuracy of model code and processing accuracy and capacity
Conduct review of SAS, Python or R codes and write new codes for statistical tests
Conduct sensitivity and back testing analysis. The sensitivity analysis would include sensitivity of model results to changes in parameters and data inputs
Assess limitations of model results for its intended use
Adequacy of model documentation
Prepare model validation report summarizing findings and providing recommendations
Participate in exit meetings and provide assistance and support in explaining findings to business stakeholders
Communicate with client stakeholders on regular basis to discuss project progress and analysis outputs

Qualifications
Minimum qualifications:
Masters degree in a quantitative discipline, with relevant experience in quantitative data analytics and modeling

Minimum skills:
Experience in design of Statistical models using regression (linear/logistic/GAM), optimization, time series, survival modeling techniques
Proficient in SAS for data mining and model development
Agile development and delivery
Proactive in approach
Very strong analytical skills
Ability to manage & prioritize high quality deliverables
Must have right attitude and level of flexibility
Strong team player
Able to work within tight deadlines, multi-task and deliver on commitments
Should have strong consulting mindset to engage with Global senior stakeholders

Preferred Skills/Qualifications:
Model Development experience in banking and capital markets domain
Understanding of US banking regulations on Capital, Provisioning Basel, CCAR, CECL and experience of developing or validating regulatory models preferred
Prior experience in data science delivery roles
Hands-on experience in Python or R
Proficiency in advanced Excel macros/VBA

Why join Genpact?
Be a transformation leader Work at the cutting edge of AI, automation, and digital innovation
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your career Get hands-on experience, mentorship, and continuous learning opportunities

Work with the best Join 140,000+ bold thinkers and problem-solvers who push boundaries every day

Thrive in a values-driven culture Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Genpact
Location(s): Noida, Gurugram

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[Full Time] Data Architect at Exxon Mobil

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Job Title: Data Architect
Link to apply: https://jobs.exxonmobil.com/ExxonMobil/job/Bengaluru-Data-Architect-KA/1335515000/
About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the worlds largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet societys evolving needs. Learn more about our What and our Why and how we canwork together.

ExxonMobils affiliates in India
ExxonMobils affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region.
ExxonMobils affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics.
ExxonMobils LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities.
The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobils operations around the globe.
ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework.
To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India.

What role you will play in our team
Data & Analytics Architect II - Senior understands business process and needs to evaluate, select, design, and orchestrate data/analytic structures, technology & infrastructure to deliver data and analytics capabilities to the business at scale or for reusable components. This role is heavily focused on architecture, engineering the design, and the technical skills for implementation and optimization of the components. Purposeful decisions on component dimensions are key, including conceptually, decomposable, maintainable, stable yet versatile, and understanding dependencies on other data and applications. This role actively develops required abilities and often relies on experienced SMEs and/or architects to assist in decisions and strategies. This role will learn through executing on behalf of the SMEs and/or architects and many of the responsibilities are as part of project or larger initiative (e.g. running a proof of concept, vendor evaluation).
Job will be based at Bangalore, Whitefield office ( WFO) for 5 days in a week.

What you will do
Work scope is likely with a L3 business capability or T3 IT function
Works with Business and EMIT to translate business process and technology needs into data/analytic enablement solutions
Enforces data standards and best practices in data management
Delivers trusted data source improvements and support continuous data design optimization
Contributes to data design validation of all models and participate in proof of concept activities of data management systems
Creates specifications such as interface designs, architecture diagrams, applications, and network and security systems
Responsible for testing the architectural design of a component or dependent components from a functional point of view

About You
Required Skills and Qualifications:
Master's or Bachelor's degree in business, computer science, engineering, systems analysis or a related field
Minimum 3 years of experience in data design/architecture and strong willingness to continue learning
Recent experience developing reference data architecture, data modeling (conceptual, logical and physical), data profiling, data quality analysis, building business data glossaries and data catalogs
Knowledge regarding data governance and master/reference data management programs
Experience using SQL Server, SQL query language and E/R Studio data modeling tool
Experience working with agile delivery teams
Effective planning, communication, collaboration and persuasion skills to drive needed change across the company
Expert written and verbal communication skills; familiarity with SharePoint team sites to collaborate; self-starter, takes initiative and is able to work in a fast-paced environment

Preferred Qualifications/ Experience
Knowledge of TOGAF (The Open Group Architectural Framework) and DAMA (Data Management Association) DMBoK (Data Management Body Of Knowledge) v.2 desirable (key differentiator)
Experience with MDM tools such as Precisely Enter Works and cataloging tools such as Collibra
Understanding of large data store technologies (Data Lakes, Data Warehouse, Data Hubs, etc.)
Knowledge of XML, JSON, Python; understanding of API concepts and integration architecture
Leadership: Strong interpersonal skills with ability to influence without direct authority; able to effectively interact with large and diverse user community
Strong background in data, analytics, systems and tools: good working knowledge of SAP database technologies (ERP, HANA, etc.) and related data extraction tools

Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you:
Competitive compensation
Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
Retirement benefits
Global networking & cross-functional opportunities
Annual vacations & holidays
Day care assistance program
Training and development program
Tuition assistance program
Workplace flexibility policy
Relocation program
Transportation facility
Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Companys eligibility guidelines.

Stay connected with us
Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
Follow us on LinkedIn and Instagram
Like us on Facebook
Subscribe our channel at YouTube

EEO Statement
ExxonMobil is an Equal Opportunity Employer:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.
Business solicitation and recruiting scams
ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
Job Classification
Industry: Oil & Gas
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: ExxonMobil
Location(s): Bengaluru

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[Full Time] Senior Analyst - Data Science at LatentView

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Senior Analyst - Data Science:
Job Description
We are seeking a skilled Data Scientist to contribute to the development, validation, and deployment of machine learning and AI solutions that drive business value. The role involves working on statistical modeling, time-series forecasting, and supply chain optimization while collaborating closely with cross-functional stakeholders. You will leverage modern data platforms and cloud technologies to deliver scalable, production-ready analytics solutions.

Responsibilities:
Ensure best practices in data preprocessing, feature engineering, and model evaluation.
Stay updated with the latest advancements in data science, ML, and AI technologies.
Leverage expertise in Dataiku to develop, deploy, and manage data science projects.
Utilize knowledge of Azure and Databricks for data storage, processing, and model deployment.

Required Skills:

3 to 6 years in the Data Science domain

Ability to work independently and manage multiple projects.

Strong communication skills to collaborate with stakeholders and cross-functional teams.

Knowdege in Power BI and DAX (Data Analysis Expressions).

Strong understanding of data modeling, data warehousing, and ETL processes.

knowledge of data sources like SQL Server, Excel, and cloud services (Azure/AWS.).

Strong analytical and problem-solving skills.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: LatentView
Location(s): Chennai

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Fri, 06 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

Apply

[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Thu, 05 Feb 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Thu, 05 Feb 2026 12:00:00 +0530

Job Description

About The Role Job Title - Decision Science Practitioner Sr. Analyst S&C GN Management Level:Sr. Analyst Location:Bangalore/ Kolkata/ Gurugram/HyderabadMust have skills:Generative AI
Good to have skills:Data ScienceJob
Summary:We are seeking a highly skilled and motivated Data Science Sr. Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability.
Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases.
Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability.
Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.

Cloud Platform Expertise
Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization.
Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.

Data Science and Engineering
Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact.
Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.
Required
Qualifications
Experience:3+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.About Our Company | Accenture
Qualification
Experience:3+ years in data science
Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Science Practitioner at Accenture

Thu, 05 Feb 2026 12:00:00 +0530

Job Description

About The Role

Project Role :Data Science Practitioner
Project Role Description :Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values.
Must have skills :Python (Programming Language)

Good to have skills :NA
Minimum 12 year(s) of experience is required

Educational Qualification :15 years full time educationSummary:As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing algorithms, and presenting insights that support strategic decision-making processes within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills:
- Must To Have Skills:
Proficiency in Python (Programming Language).- Strong understanding of machine learning algorithms and their applications.- Experience with data analysis and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Ability to work with large datasets and perform data preprocessing tasks. Additional Information:- The candidate should have minimum 12 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Architect at Mphasis

Wed, 04 Feb 2026 12:00:00 +0530

Job Description
Role Title

Data Architect

Location

Bangalore preferably . If not Bangalore , then Chennai , Mumbai , Hyderabad , Pune

Years of Experience (Tot/Rel)

Total = 10 + years , Relevant =6 + years

Technical Skills

Technical Skills:

AWS Glue ETL jobs, crawlers, data catalog
AWS Lake Formation data lake security, fine grained access control
AWS Data Zone data governance, cataloging, data sharing
Amazon S3 data lake storage, lifecycle policies
Amazon Redshift or Athena data warehousing and analytics
SQL and Python (or PySpark).

AWS Step Functions
AWS Kinesis, Kafka, MSK
MongoDB or other NoSQL
Terraform

Architect Skills:
Data Architecture & Design
Data Engineering & Pipelines

Data Governance & Cataloging
Data Lineage & Observability

Roles & Responsibilities

We are looking for a hands on Data Architect to design and implement LTOHub D3 enterprise data platform on AWS.
You will be responsible for defining the canonical data model, building data pipelines, and establishing data governance, quality, and lineage capabilities using AWS native services. You will work closely with the Quotes & Contracts, Cost, and D3 verticals to ensure data flows seamlessly from ingestion to reporting and analytics

Qualification & Certification (If any

AWS Certification is must (Associate or Professional) , not foundation certificate

Good to have/Must to have skills

Must have Skills

Technical Skills :
AWS Glue
AWS Lake Formation
AWS DataZone
Amazon S3
Amazon Redshift or Athena
SQL and Python (or PySpark).
Architect Skills :
Data Governance & Cataloging
Data Lineage & Observability

Good to have skills

Technical Skills :
AWS Step Functions
AWS Kinesis, Kafka, MSK
MongoDB or other NoSQL
Terraform
Architect Skills:
Data Architecture & Design
Data Engineering & Pipelines
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Mphasis
Location(s): Hyderabad

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[Full Time] Informatica MDM Developer at Capgemini

Wed, 04 Feb 2026 12:00:00 +0530

Job Description
We are looking for an experienced Informatica IDMC Specialist with strong expertise in Cloud Application Integration (CAI), Cloud Data Integration (CDI), and Master Data Management (MDM). The ideal candidate will design and implement scalable data integration and master data solutions that enable trusted, unified, and governed enterprise data.

Key Responsibilities:
Design, develop, and support Informatica IDMC solutions using CAI, CDI, and MDM

Build and manage CDI mappings, taskflows, and schedules

Develop CAI processes, integrations, and APIs

Implement and support Informatica MDM (match/merge rules, hierarchies, survivorship, and workflows)

Integrate MDM with upstream and downstream systems

Collaborate with business and technical stakeholders to define data and integration requirements

Ensure data quality, consistency, and governance across domains

Troubleshoot, optimize, and performance-tune IDMC jobs and MDM processes

Support deployments, upgrades, and production issues

Required Qualifications:
Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC)

Strong experience with CAI, CDI, and MDM

Solid understanding of master data concepts (golden record, match & merge, hierarchies)

Experience with ETL/ELT, data warehousing, and integration patterns

Strong SQL skills and experience with relational databases

Experience working with REST APIs, JSON, and XML

Familiarity with cloud platforms (AWS, Azure, or GCP)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Data Quality Specialist at Capgemini

Wed, 04 Feb 2026 12:00:00 +0530

Job Description
Key Responsibilities:
Design, develop, and support Informatica IDMC solutions using CAI, CDI, and CDQ

Build and maintain data integration pipelines for batch and real-time processing

Develop and manage Cloud Data Integration (CDI) mappings and taskflows

Implement Cloud Application Integration (CAI) processes and APIs

Configure and maintain Cloud Data Quality (CDQ) rules, scorecards, and monitoring

Collaborate with stakeholders to understand data requirements and translate them into technical solutions

Troubleshoot, optimize, and performance-tune IDMC workflows

Ensure data accuracy, consistency, and governance standards are met

Support deployments, enhancements, and production issues

Required Qualifications:
Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC)

Strong expertise in CAI, CDI, and CDQ

Experience with cloud platforms (AWS, Azure, or GCP preferred)

Solid understanding of data warehousing, ETL/ELT, and data quality concepts

Proficiency in SQL and relational databases

Experience working with APIs, REST services, and JSON/XML

Strong analytical and problem-solving skills
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] Python Developer Lead - Mumbai/Pune/Hyderabad/Chennai - 0 To 30 days at Capgemini

Wed, 04 Feb 2026 12:00:00 +0530

Job Description
Roles and Responsibilities
Design, develop, test, and deploy scalable microservices using Python and Django framework.
Collaborate with cross-functional teams to identify requirements and implement solutions.
Ensure high-quality code by writing unit tests, integrating with Fast API for API services, and implementing CI/CD pipelines.
Participate in Agile development methodologies such as Scrum to deliver projects on time.
Desired Candidate Profile
12-19 years of experience in software development with expertise in Python programming language.
Strong understanding of Microservices architecture design principles and implementation best practices.
Proficiency in working with Fast API for building APIs and integrating them with other systems.
Experience with CI/CD pipeline management tools like Jenkins or similar technologies.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Capgemini
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture

Tue, 03 Feb 2026 12:00:00 +0530

Job Description
Job Title - SC Global Network - AI - Hi Tech - Data Science Senior Analyst
Management Level:10-Senior Analyst
Location:Bengaluru
Must-have skills:Prompt Engineering

Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles Responsibilities:
Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHATS IN IT FOR YOU
We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing consumer analytics, predictive asset maintenance, production optimization, supply chain, sales channel partner program analytics, and connected products.
You will be leading design and delivery on client projects.
What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.
Professional Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Proven track record of developing AI models in areas such as channel analytics, marketing customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.

Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accenture
Qualification
Experience:Minimum 4 Years

Educational Qualification:Minimum 15 Years of Education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Cmt - Data Science Network Consultant at Accenture

Mon, 02 Feb 2026 12:00:00 +0530

Job Description
About The Role Job Title - S&C Global Network - AI - CMT - Consultant Data ScienceManagement Level:9-Team Lead/ConsultantLocation:Bengaluru, BDC7CMust-have skills:Gen AI , Machine Learning , Data Science , NLPGood to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.Responsibilities/AuthoritiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following:
Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL.
Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.
Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem.
Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project.
Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date.
Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues.
Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints.
Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
Should be able to travel or relocate to Japan as per business requirement.
Professional & Technical Skills:
- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Demonstrated experience in solving real-world data problems through Data & AI
Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles.
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.
Execution level understanding of econometric/statistical modeling packages
Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling.
Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc.
Knowledge of Deep learning modeling techniques like RNN, CNN etc.
Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI
Proficient in Excel, MS word, Power point, and corporate soft skills
Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc.
Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.
Strong analytical, problem-solving skills and good communication skills
Self-Starter with ability to work independently across multiple projects and set priorities
Strong team player Proactive and solution oriented, able to guide junior team members.
Execution knowledge of optimization techniques is a good-to-have
Exact optimization Linear, Non-linear optimization techniques
Evolutionary optimization Both population and search-based algorithms
Cloud platform Certification, experience in Computer Vision are good-to-haves

Additional Information:- Opportunity to work on innovative projects. - Career growth and leadership exposure.About Our Company | AccentureQualificationExperience:8-10YearsEducational Qualification:Any Degree
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Analyst at Accenture

Mon, 02 Feb 2026 12:00:00 +0530

Job Description

Job Title - Decision Science Practitioner Analyst S&C GN
Management Level:Analyst
Location:Bangalore/ Kolkata/Gurugram/Hyderabad
Must have skills:Generative AI

Good to have skills:Data Science
Experience:2+ years in data science

Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field
Job
Summary:
We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech, Enterprise Tech, and Semiconductors. This role combines hands-on technical expertise, and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities
Generative AI Expertise
Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus
Cloud Platform Expertise
Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).
Data Science and Engineering
Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.
Qualification
Required
Qualifications
Experience:2+ years in data engineering/data science
Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
Technical Skills
Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
Preferred Skills
Experience in decision science projects focused on marketing, supply chain, or sales.
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.

Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.
About Our Company | Accenture
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] Analyst - Data Science at American Express

Mon, 02 Feb 2026 12:00:00 +0530

Job Description

The Centre of Excellence (CoE) dedicated to Financial Crimes Decision Science and Analytics is responsible for the Enterprise-Wide financial crime risk management related programs across all our products and services globally.

The team develops, implements, monitors and optimizes the automated transaction monitoring rules, reports, and other processes crafted to identify activity potentially indicative of financial crime behavior that is important from regulator view.

By leveraging AI and ML Models, the Data Science team of the CoE has been a pioneer of the innovation. These models are intended to support and automate decision making for investigators, reducing time and effort spent in the Anti-Money Laundering Efforts of the firm.

These innovative enhancements are critical input into making risk adjusted AML mitigation strategies across product and portfolios

How will you make an impact in this role

Responsible for development, deployment, and validation of predictive model(s) and supporting use of models in AML use cases

Understand the AML Program of AXP and the levers behind various decisions

Analyse large amounts of data to derive business insights and create innovative solutions

Leverage various traditional Unsupervised and supervised techniques, including isolation forest and gradient boosting methods

Setup and develop use cases leveraging emerging technologies like GenAI

Setup and monitor model performance using internal trackers and smart monitoring

Working closely with GFCC, FIU, CFR capabilities teams to understand their requirements and provide solutions.

Develop end-to-end data science solutions and work with internal governance team to get them approved

Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant

Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Clear articulation and structuring of project findings across to the leadership and key partners

Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc

Minimum Qualifications

A strong balance of technical knowledge and discernment with a proven track record of driving innovation and business metrics. Decision Science related work experience is highly desired

0-30 months of work experience in data science or statistics related field

Excellent proficiency in Python (Data Science Related Libraries) and SQL

Evidence of strong mathematical & statistics knowledge

Ability to drive project deliverables to achieve business results

Ability to work effectively in a team environment

Strong communication and interpersonal skills

Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives

Bachelors degree in economics, Statistics, Computer Science Or related fields

Preferred Qualifications

Expertise in Coding, Algorithm, High Performance Computing

Experience in version control (git), model deployment, developer environments

A good understanding of AML Investigations, payments industry and decision science frameworks

We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries.

Bonus incentives.

Support for financial-we'll-being and retirement.

Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location).

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.

Generous paid parental leave policies (depending on your location).

Free access to global on-site we'llness centres staffed with nurses and doctors (depending on location).

Free and confidential counselling support through our Healthy Minds program.

Career development and training opportunities.

Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] Data Science Analyst at Shell Infotech

Thu, 29 Jan 2026 12:00:00 +0530

Job Description

Support the preparation cleansing and transformation of process event data for analysis and modeling.

Assist in exploratory data analysis (EDA) to identify trends patterns and anomalies in process data.

Contribute to data visualization dashboards and reports to communicate insights using tools such as Power BI Tableau or Plotly Dash.

Collaborate with data scientists to design and test features and metrics for process performance and prediction models gaining exposure to analytical design principles and learning from implementation feedback.

Participate in the creation and maintenance of process data models and pipelines ensuring data quality and consistency.

Work with cross-functional teams to integrate data from multiple enterprise systems (e.g. SAP Salesforce ServiceNow) for process analysis.

Support process mining initiatives by preparing event logs and assisting with analyses on platforms like Celonis EMS or SAP Signavio.

Contribute to documentation testing and quality assurance for analytical deliverables.

Develop foundational understanding of Responsible AI and Explainable AI (XAI) concepts.

What you bring

0 2 years of experience in data analytics or data science including exposure to data preparation analysis or visualization.

Basic understanding of machine learning or statistical techniques applied to structured or event data.

Experience with Python SQL and data manipulation libraries (e.g. pandas NumPy).

Exposure to data visualization tools and frameworks such as Power BI Tableau Plotly Dash or Matplotlib/Seaborn.

Familiarity with process event or behavioral data and understanding of event logs (case IDs activities timestamps) is desirable.

Exposure to process-mining platforms (e.g. Celonis EMS SAP Signavio or PM4Py) is an advantage.

Knowledge of data quality ETL concepts or pipeline design is preferred.

Enthusiasm to learn AI/ML process analytics and MLOps practices in enterprise environments.

Bachelor s or Master s degree in Computer Science Data Science Engineering Mathematics or a related quantitative field.

Proficiency in Python and SQL for data analysis and transformation.

Basic knowledge of machine learning or predictive modeling concepts.

Strong analytical and problem-solving mindset with attention to detail.

Ability to learn and apply process-oriented data science methods.

Exposure to process mining and understanding of event-based data.

Experience using data visualization tools and frameworks such as Power BI Tableau or Plotly Dash for process-performance reporting

Understanding of data quality data wrangling and feature engineering.

Exposure to Celonis EMS SAP Signavio or open-source process-mining frameworks (PM4Py ProM).

Academic or project experience in process simulations or operations research.

Awareness of professional data science communities and willingness to engage for learning and growth.

What we offer

You bring your skills and experience to Shell and in return you work with talented committed people on one of the most important challenges facing our planet. You ll have the opportunity to develop the skills you need to grow in an environment where we value honesty integrity and respect for one another. You ll be able to balance your priorities as you become the best version of yourself.

Progress as a person as we work on the energy transition together.

Continuously grow the transferable skills you need to get ahead.

Work at the forefront of technology trends and practices.

Collaborate with experienced colleagues with unique expertise.

Achieve your balance in a values-led culture that encourages you to be the best version of yourself.

Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders ages ethnicities cultures abilities sexual orientation and life experiences to apply.

Grow as you progress through diverse career opportunities in national and

international teams.

Gain access to a wide range of training and development programmes.

An Inclusive & Progressive Place to Work

To power progress together we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we re nurturing an inclusive environment one where you can express your ideas extend your skills and reach your potential.

We re creating a space where people with disabilities can excel through transparent recruitment process workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply and we ll take it from there.

We re closing the gender gap whether that s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.

We re striving to be a pioneer of an inclusive and diverse workplace promoting equality for employees regardless of sexual orientation or gender identity.

Job Classification
Industry: Oil & Gas
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Shell
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Cg&s - Consultant Data Science at Accenture

Tue, 27 Jan 2026 12:00:00 +0530

Job Description

About The Role Job Title - S&C Global Network - AI - CG&S - Viz Consultant Data ScienceManagement Level:9-Team Lead/ConsultantLocation:GurugramMust-have skills:Data Science
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.Job
Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.Roles & Responsibilities:What you would do in this role
We are seeking a skilled and experienced Visualization & Interactions Science Consultant to join our team. The ideal candidate should have a strong background in data visualization, human-computer interaction, and user experience design, with a passion for leveraging data-driven insights to create impactful visualizations and interactive experiences for business.
Responsibilities

Collaborate with CG&S clients and stakeholders to understand business requirements and user needs and translate them into effective user journey with impactful visualization and interaction design solutions.

Provide consultation and guidance to internal stakeholders on visualization and interaction design principles, tools, and techniques.

Run codesign sessions and develop interactive data visualizations and dashboards using industry-leading tools and technologies, such as Power BI, Tableau, Qlik, PowerApps, Power Automate, React JS, D3.js etc

Conduct user research, usability testing, and user feedback analysis to iteratively improve the usability and effectiveness of visualization products.

Apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories.

Stay abreast of emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share insights and recommendations with the team.

Collaborate with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products.

Contribute to thought leadership and knowledge sharing initiatives within the organization, such as blog posts, whitepapers, and presentations.

Professional & Technical
Skills:
- Relevant experience in the required domain.- Strong analytical, problem-solving, and communication skills.- Ability to work in a fast-paced, dynamic environment.
Additional Information:- Opportunity to work on innovative projects.- Career growth and leadership exposure.About Our Company | Accenture
Qualification
Experience:8 to 10 Years
Educational Qualification:Any Degree
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Architect/Director - AI/ML & Healthcare Analytics at Omega Healthcare

Tue, 27 Jan 2026 12:00:00 +0530

Job Description
Job Title: Director/Architect AI/ML & Healthcare Analytics
at Omega Healthcare company
About the Role
We are seeking a highly strategic and analytically driven Architect AI/ML & Healthcare Analytics to lead Omega's next-generation data analytics, and AI initiatives. This role is central to our product modernization journey, enabling a unified, scalable, multi-cloud ecosystem powered by a centralized enterprise data Lakehouse. The Director will spearhead the development of advanced analytics, predictive models, and AI/ML-driven solutions that unlock hidden opportunities across the RCM value chainpayers, providers, denials, collections, reimbursements, and operations.
This leader will combine deep expertise in healthcare analytics, data science, AI/ML, and RCM operations to drive measurable business values, improving efficiency, reducing denials and leakages, identifying dead-value opportunities, and strengthening operational performance across clients. The role will partner closely with product, engineering, sales, and operations to ensure analytics is a strategic differentiator and a growth enabler for WhiteSpace Health.
Key Responsibilities
AI Strategy & Vision
Define and lead the enterprise AI/ML and healthcare analytics strategy, aligned to RCM modernization and business goals.
Develop scalable predictive and prescriptive analytics models for denials, collections, AR forecasting, payer behavior, underpayments, and operational optimization.
Utilize AI/ML to uncover dead-value opportunities, revenue leakages, and inefficiencies across the RCM lifecycle.
Drive the creation of reusable AI microservices, decisioning engines, and next-gen analytics capabilities for the product platform
AI/ML Product Development
Architect and build scalable, production-grade AI/ML solutions across ingestion, modeling, deployment, monitoring, and continuous improvement.
Lead the modernization of the AI stack to support multi-cloud (Azure, AWS, GCP) environments using containerized and cloud-native services.
Own the end-to-end lifecycle of AI/ML modelsdata preparation, feature engineering, training, evaluation, deployment, and monitoring.
Advanced Automation & AI Operations
Drive AI-enabled automation that improves throughput, reduces manual dependency, and boosts operational efficiency.
Implement MLOps best practicesautomated pipelines, model versioning, testing, retraining, and drift detection.
Integrate AI into CI/CD processes and product release workflows to support rapid experimentation and deployment.
GenAI Innovation
Build GenAI solutions for automated documentation, summarization, knowledge extraction, IDP, and conversational RCM assistants.
Implement LLM-powered quality checks, intelligent test generation, predictive denials and payment models, coding/charge-capture AI, and NLP-driven claims automation.
Use embeddings, vector databases, RAG, and multimodal models to boost accuracy, data quality, and user experience.
Data Integrity & Modernization
Oversee data readiness for AI use casesdata architecture, governance, feature stores, and cloud-based data pipelines.
Guide the transition to modern data platforms supporting streaming, real-time analytics, and large-scale ML workloads.
Business Value & Analytics
Derive measurable business value through AI-driven automation, insights, and predictive capabilities.
Build ROI models, value frameworks, and AI impact dashboards to track efficiency gains, cost reduction, and revenue lift.
Partner with Product and Operations to ensure AI investments translate directly into customer and business outcomes.
Leadership & Collaboration
Build and mentor a high-performing AI/ML team of engineers, researchers, data scientists, and applied ML practitioners.
Work cross-functionally with Engineering, Cloud, QA, Product, Operations, and Client Services to embed AI into product and business workflows.
Influence executive stakeholders through clear communication, strategic planning, and strong execution excellence.
Qualifications
Must Have
15+ years of experience in Data Science / AI / ML with at least 5+ years in leadership roles.
Proven track record building and deploying ML and AI solutions at scale in production.
Deep experience with healthcare datasets, RCM workflows, payer/provider data, and compliance constraints.
Expertise with ML frameworks (TensorFlow, PyTorch, Scikit-learn), LLMs, NLP, and cloud AI services.
Experience in GenAI, LLM fine-tuning, RAG systems, or document intelligence.
Strong understanding of ETL/ELT pipelines, data engineering, and distributed systems.
Strong hands-on engineering capability with Python, SQL, cloud-native pipelines, and distributed computing.
Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, Vertex AI, Airflow).
Demonstrated business acumen with ability to quantify AI impact and drive strategy.
Nice to Have
Familiarity with healthcare interoperability standards (FHIR, HL7, X12).
Experience in multi-cloud orchestration and modern data platforms.
Experience with vector databases, embeddings, document intelligence, or multimodal AI solutions.
Attributes
Strong strategic thinking coupled with deep technical hands-on ability.
Highly analytical, creative, and results-oriented with a passion for innovation.
Ability to influence diverse stakeholders and drive cross-functional programs.
Ownership mindset with a continuous improvement and experimentation culture.
Deep understanding of ethical AI, fairness, privacy, and compliance in healthcare.
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Omega Healthcare
Location(s): Hyderabad

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[Full Time] Microsoft Fabric/Power BI Developer- Female Candidates at Infosys

Tue, 27 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Science Analytics Specialist - Data Science at Accenture

Tue, 27 Jan 2026 12:00:00 +0530

Job Description

About The Role

Skill required: Data Scientist - Predictive Modeling and Analytics

Designation: Data Science Analytics Specialist - Data Science

Qualifications:Any Graduation

Years of Experience:Experienced

What would you do?
You will be aligned with our Insights&Intelligence vertical and help us generate insights by leveraging the latest Artificial Intelligence (AI) and Analytics techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using AI Platforms and technologies. You will be required to utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise-class and demonstrate yourself as an expert by actively blogging, publishing research papers, and creating awareness in this emerging area. In the Data Science team, you will manage and analyze data in order to build data driven business insights and high impact data models to generate significant business value. This will involve creating models and processes to collect, distill and interpret data with a view to aid more informed decision making, examine and explore data from multiple sources with the goal of discovering insights which in turn can provide competitive advantage for our client. This role defines an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured.

What are we looking for?
Data Science Adaptable and flexible Ability to perform under pressure Commitment to quality Ability to handle disputes Ability to meet deadlines Good to have Cloud Exposure Roles and Responsibilities In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts

Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Mumbai

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[Full Time] Software Developer at Gallagher

Mon, 26 Jan 2026 12:00:00 +0530

Job Description

Key Responsibilities
The incumbent will be responsible to develop tools and codes to help CAT Modelling team automate the existing processes
using python, SQL, azure services.
Communicate with CAT modelling team, stakeholders about requirements.
Design and development of automation solution.
Communicate status to key stakeholders and senior management.
Documenting the solutionShould have strong experience in Python & SQL.

Post-Graduate in any Quantitative Discipline, preferably,
but not limited to, Engineering background,
MSc/MCA in IT/Computer science etc.
Job Classification
Industry: Miscellaneous
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Gallagher
Location(s): Mumbai

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[Full Time] Microsoft Fabric/Power BI Developer- Female Candidates at Infosys

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Power Bi Developer-sql & Data Modeling (female Candidates) at Infosys

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Analyst - Data Science at American Express

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry s top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.

Description on the role

Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.

Responsibilities:

Understand the core business of AXP and the levers behind various decisions

Analyse large amounts of data to derive business insights and create innovative solutions

Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant

Innovate with a focus on developing newer and better approaches using big data machine learning solution

Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners

Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc

Minimum Qualifications

MBA, masters degree in economics, Statistics, Computer Science Or related fields

0-30 months of experience in analytics, big data workstreams.

Ability to drive project deliverables to achieve business results

Ability to work effectively in a team environment

Strong communication and interpersonal skills

Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives

Ability to Integrate with Cross-Functional Business Partners Worldwide

SAS, R, Python, Hive, Spark, SQL

Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

Preferred Qualifications

Expertise in Coding, Algorithm, High Performance Computing

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries

Bonus incentives

Support for financial-well-being and retirement

Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)

Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need

Generous paid parental leave policies (depending on your location)

Free access to global on-site wellness centres staffed with nurses and doctors (depending on location)

Free and confidential counselling support through our Healthy Minds program

Career development and training opportunities
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: American Express
Location(s): Noida, Gurugram

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[Full Time] Power Bi Developer-sql & Data Modeling (pan India) at Infosys

Fri, 23 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for Power BI Developer
Mandatory Skills: SQL & Data modelling

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Science Analyst (Senior) at Infogain

Thu, 22 Jan 2026 12:00:00 +0530

Job Description

Core Skills

Expert knowledge of statistics and probability theory Proficiency in at least one programming language such as Python, R, or SQL Advanced experience with data visualization tools such as Tableau or PowerBI Expert understanding of machine learning algorithms and models Advanced knowledge of data cleaning and preprocessing techniques Experience with data analysis and interpretation

EXPERIENCE

6-8 Years

SKILLS

Primary Skill: Data Science

Sub Skill(s): Data Science

Additional Skill(s): Data Science

ABOUT THE COMPANY

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Bengaluru

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[Full Time] Data Scientist at Newgen

Thu, 22 Jan 2026 03:42:49 +0530

Job Description
Technical Skills:

Proficient in Python with extensive hands-on experience in machine learning, deep learning, and generative AI using frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, and NLTK, along with strong grounding in statistical modeling, embeddings, text classification, transformers, and large language models (LLMs).
Experienced in designing agentic AI and advanced RAG systems using libraries such as LangChain and LangGraph, involving multi-step reasoning, tool-using agents, memory management, query planning, and hybrid ML-LLM architectures (e.g., ReAct-style agents, retrieval-augmented workflows).
Familiarity with deploying and managing AI models on cloud platforms such as AWS, GCP, or Azure.
Working knowledge of GitHub for code management and deployment.

Desired Skills and Key Responsibilities
Strong analytical and problem-solving abilities, with the capacity to design and reason through complex data and AI workflows, derive actionable insights, and debug multi-step ML and agentic AI systems.
Experience in building and maintaining data pipelines and AI workflows to support ML, LLM, and agentic systems, including the use of language models such as GPT, Qwen or Google Gemini to develop hybrid solutions that combine classical machine learning, retrieval-augmented generation, and autonomous reasoning.
Creative acumen to conceptualize, design, and implement scalable ML, generative AI, and agentic architectures involving multi-step reasoning, tool integration, and memory driven workflows.
Excellent communication and collaboration skills to work effectively with both technical and non-technical stakeholders, including the ability to explain AI-driven decisions, system behavior, and trade-offs clearly.
Familiarity with the end-to-end AI product lifecycle, from ideation and prototyping to deployment, evaluation, and iterative improvement, particularly in the context of ML, generative AI, and agent-based solutions.
A strong passion for continuous learning and staying updated with advancements in AI, machine learning, agentic systems, and product development, fostering innovation, ownership, and practical impact.
Strong ownership and accountability with a proactive, entrepreneurial approach to problem-solving and execution.
Education:
Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field with 0-2 years of relevant experience OR Masters/Doctorate/PGDM in a related field.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Newgen
Location(s): Noida, Gurugram

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[Full Time] Etl Developer at Iris Software

Wed, 21 Jan 2026 12:00:00 +0530

Job Description
Position - ETL Developer
Experience - 6 - 8 years
Job Location - Noida Sector 142
Work Mode - Hybrid (UK Shift)
Role & responsibilities
Minimum 6 years hands on experience with SSIS (SSRS and SSAS would be a plus) Design, develop, automate, and support complex applications to extract, transform, load data, and ensure data quality.
Strong understanding of SQL concepts and 2 years SQL development experience
Experience in creating and enhancing data solutions enabling seamless delivery of data, with focus on collecting, parsing, managing and analyzing large sets of data
Excellent written and verbal communication

Nice-to-have:
Understanding of all lines of Capital Markets business
Advanced SQL development experience
BI development experience (Tableau)

Mandatory Competencies
ETL - ETL - SSIS
Database - Sql Server - SSIS/ SSAS
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Iris Software
Location(s): Noida, Gurugram

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[Full Time] Prompt Engineer(Senior Python Developer / GenAI Specialist) at eClerx

Wed, 21 Jan 2026 12:00:00 +0530

Job Description
Job Title: Senior Python Developer / GenAI Specialist
Location: Mumbai/Pune
Experience Required: 1012 years
Immediate Joiners / Notice Period: Available to join within 30 days

Job Description:
We are seeking a highly skilled and experienced Senior Python Developer with expertise in Generative AI (GenAI) and Prompt Engineering to join our dynamic team. The ideal candidate will have 1012 years of relevant experience and be well-versed in Python, SQL, LLM (Large Language Models), Langchain, and GenAI prompt engineering techniques. If you are passionate about leveraging cutting-edge AI technologies and are looking for an opportunity to make an impactful contribution, we would love to hear from you!

Key Responsibilities:
AI and Machine Learning Model Design: Lead the design, development, and optimization of Batch LLM (Large Language Models) and GenAI-driven applications, ensuring performance, scalability, and robustness.
Prompt Engineering: Develop and refine AI prompt flows to enhance the effectiveness and accuracy of LLMs, OpenAI models, and other AI-driven systems.
Python Development: Write clean, efficient, and maintainable Python code for AI, data processing, and backend services.
REST API Development: Design, develop, and integrate REST APIs to interact with AI models and third-party systems.
Database Management: Work with SQL databases to manage and query data for AI systems and applications.
Version Control & CI/CD: Utilize Git for version control and CI/CD pipelines for automated deployment processes.
Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to design and deploy AI-powered solutions.
Documentation: Create clear, detailed documentation for code, model workflows, and system architecture.

Skills and Qualifications:
Required Skills:
Python: Proficient in Python programming for AI model development, data analysis, and backend services.
SQL: Strong knowledge of SQL for querying, managing, and manipulating data.
GenAI Prompting: In-depth experience in designing and optimizing prompts for GenAI applications, particularly in the context of LLMs (e.g., OpenAI).
REST API: Experience in building and consuming REST APIs for seamless integration between AI models and other systems.
Pandas: Expertise in using Pandas for data manipulation, analysis, and processing in AI workflows.
Batch LLM Design: Hands-on experience in designing and deploying batch processing workflows for large-scale LLMs.
Git & CI/CD: Strong experience with version control using Git and continuous integration/deployment (CI/CD) practices.
Communication: Excellent verbal and written communication skills to effectively communicate with both technical and non-technical stakeholders.
Good to Have:
Prompt Flow: Knowledge of designing efficient prompt flow systems for complex AI tasks.
Langchain: Familiarity with Langchain or similar frameworks for building end-to-end AI systems, particularly with LLMs.
Desired Experience:
1012 years of hands-on experience in Python development, with a focus on AI/ML and GenAI technologies.
Proven experience with LLMs, prompt engineering, and related technologies, such as OpenAI, Langchain, etc.
A track record of deploying AI-driven systems and solutions at scale.
Strong problem-solving abilities and experience in debugging complex systems.
Python - Mandatory
SQL - Mandatory
GenAI Prompting - Mandatory
REST API - Mandatory
Coding
Pandas - Mandatory
Batch LLM design - Mandatory
Prompt Flow - Good To have
Langchain - Good to have
Git,CI/CD - Mandatory

Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: eClerx
Location(s): Pune

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[Full Time] Technical Analyst(sql/python/funnel)(bfsi ) at NLB Services

Wed, 21 Jan 2026 12:00:00 +0530

Job Description

Senior Analyst / Team Lead Call Centre Analytics
Role Overview
We are looking for a Call Centre Analytics professional with deep hands-on experience in analyzing large-scale contact center data, preferably Genesys, to drive measurable improvements across customer journeys, funnel conversion, and IVR performance. The role requires strong analytical thinking, stakeholder interaction, and the ability to convert raw call data into actionable business insights.
Key Responsibilities
Analyze end-to-end call centre funnels covering call initiation, IVR traversal, agent routing, handling, and outcomes
Perform IVR optimization analysis, including:
Drop-off analysis
Menu depth and path effectiveness
Self-service vs agent-assisted resolution
Develop funnel analytics frameworks to identify:
Call abandonment drivers
Repeat call patterns
Leakage across IVR, queue, and agent stages
Work extensively with Genesys call data, including call logs, interaction events, agent metrics, and routing attributes
Build analytical datasets using SQL from structured and semi-structured call centre sources
Use Python for:
Data wrangling and feature creation
Trend analysis and diagnostics
Exploratory and ad-hoc analytics
Partner with business and operations teams to translate insights into:
IVR design changes
Routing logic improvements
Agent efficiency enhancements
Support dashboarding and reporting needs (Power BI / Tableau exposure is a plus)
Required Skills & Experience
Strong hands-on experience in Call Centre / Contact Centre Analytics
Direct experience working with Genesys data (mandatory)
Proven expertise in:
Funnel analytics
IVR flow analysis and optimization
Call abandonment and repeat call analysis
Excellent SQL skills for large-scale data extraction and transformation
Working knowledge of Python for analytics and data processing
Ability to explain analytical findings clearly to non-technical stakeholders
Preferred / Good-to-Have
Experience in banking, financial services, or regulated environments
Exposure to call center platforms other than Genesys (Avaya, NICE, Five9, etc.)
Experience supporting decision-making for operations, CX, or digital teams
What This Role Is Not
This is not a pure reporting role
This role requires analytical depth, problem-solving, and hands-on data working

If Interested Kindly Share your resume at Muskan.shukla@nlbtech.com
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: NLB Services Pvt. Ltd.
Location(s): Noida, Gurugram

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[Contract] Snowflake Data Engineer at Trigent

Tue, 20 Jan 2026 12:00:00 +0530

Job Description
Design and implement scalable, secure, and high-performance data pipelines using Snowflake.
Architect and manage data warehousing solutions and ETL/ELT processes using tools like dbt, Matillion, Talend, or Informatica.
Work closely with business stakeholders, data analysts, and BI developers to understand data requirements and translate them into robust data models.
Optimize Snowflake performance through query tuning, clustering, caching, and resource monitoring.
Implement and maintain data governance, data security policies, and access controls within Snowflake.
Collaborate with DevOps/Cloud teams to provision, monitor, and maintain Snowflake environments.
Perform data migration from legacy systems or other cloud data platforms (e.g., Redshift, BigQuery) to Snowflake.
Provide leadership and mentorship to junior data engineers and act as a technical SME for Snowflake.
Stay updated with the latest Snowflake features and best practices and evaluate their applicability.
Expertise in data modeling (dimensional, normalized/denormalized), data warehousing concepts, and star/snowflake schemas.
Excellent problem-solving skills, communication skills, and ability to work independently in a fast-paced environment.
Understanding of data governance, privacy (GDPR/CCPA), and security best practices.
Knowledge of CI/CD pipelines, Git, and DevOps practices for data environments.
Data
SnowFlake
BI Tool
Banking Domain
Snowflake
DBT
SQL
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: Trigent Software
Location(s): Pune

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[Full Time] S&c Global Network - Ai - Cg&s - Consultant Data Science at Accenture HR Aditi

Tue, 20 Jan 2026 12:00:00 +0530

Job Description

About The Role Job Title: Industry & Function AI Decision Science Consultant S&C Global Network
Management Level: 9 Consultant
Location: Primary - Bengaluru, Secondary - GurugramMust-Have
Skills:
Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQLGood-to-Have
Skills:
Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc.Job
Summary:As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making.Roles & Responsibilities:
Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain
Lead data science engagements, manage delivery teams, and build innovative AI capabilities
Develop and implement advanced analytics solutions tailored to client requirements
Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development
Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions
Translate complex data into compelling narratives for effective data storytelling
Mentor junior team members and contribute to thought leadership

Professional & Technical
Skills:

Proficiency in Python, R, PySpark, and SQL
Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning
Hands-on experience in Consumer Goods & Services domain
Cloud integration skills with platforms like AWS, Azure, or Google Cloud
Experience with optimization techniques (exact and evolutionary)
Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer
Familiarity with visualization tools like Tableau and Power BI
Exposure to large language models (e.g., ChatGPT, Llama 2)
Familiarity with version control systems like Git.

Additional Information:
The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry.

About Our Company | Accenture
Qualification
Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry
Educational Qualification:
Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Senior Data Scientist / Analytics Lead (BFSI) at NLB Services

Tue, 20 Jan 2026 12:00:00 +0530

Job Description
Job Description : Senior Data Scientist / Analytics Lead (BFSI)
Experience: 6-8 years
Role Summary
Senior analytics role responsible for driving multiple analytical initiatives across BFSI, including but not limited to funnel analytics. The role focuses on problem structuring, hypothesis definition, insight generation, and stakeholder engagement, while guiding analytical execution.
Key Responsibilities
Lead and support diverse analytical workstreams across BFSI domains
Frame business problems into structured analytical questions and hypotheses
Define data requirements, metrics, and success criteria for analyses
Guide analysts on data extraction, feature creation, and validation logic
Interpret analytical results and translate them into actionable insights
Present findings, recommendations, and impact to senior stakeholders
Support ad-hoc analysis, deep dives, and strategic decision-making initiatives
Mandatory Skills & Experience
Strong BFSI analytics experience (mandatory)
Proven experience across multiple analytical areas (funnel/journey, campaign, customer, risk, or operations analytics)
Hypothesis-driven analytical mindset
Ability to work across structured and ambiguous problem statements
Strong communication and stakeholder management skills
Experience mentoring or guiding analysts
Relevant Backgrounds
Banking or financial services analytics
Campaign, customer, or lifecycle analytics
Sales, servicing, or operations analytics
Digital, funnel, or journey analytics within BFSI
If interested Kindly share your resume at Muskan.shukla@nlbtech.com
Job Classification
Industry: BPM / BPO
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: NLB Services Pvt. Ltd.
Location(s): Noida, Gurugram

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[Full Time] S&c Global Network - Ai - Cg&s - Consultant Data Science at Accenture HR Aditi

Tue, 20 Jan 2026 12:00:00 +0530

Job Description

About The Role Job Title:Industry & Function AI Data Engineer + S&C GNManagement Level:09 - ConsultantLocation:Primary - Bengaluru, Secondary - GurugramMust-Have Skills:Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworksGood-to-Have Skills:LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc.
Job
Summary:As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. Your work will ensure high-quality, reliable data is accessible for actionable insights. This involves leveraging technical expertise, collaborating with stakeholders, and staying updated with the latest tools and technologies to deliver scalable and efficient data solutions.
Roles & Responsibilities:
Build and Maintain Data Infrastructure:Design, implement, and optimize scalable data pipelines and systems for seamless ingestion, transformation, and storage of data.
Collaborate with Stakeholders:Work closely with business teams, data analysts, and data scientists to understand data requirements and deliver actionable solutions.
Leverage Tools and Technologies:Utilize Python, SQL, PySpark, and ETL frameworks to manage large datasets efficiently.
Cloud Integration:Develop secure, scalable, and cost-efficient solutions using cloud platforms such as Azure, AWS, and GCP.
Ensure Data Quality:Focus on data reliability, consistency, and quality using automation and monitoring techniques.
Document and Share Best Practices:Create detailed documentation, share best practices, and mentor team members to promote a strong data culture.
Continuous Learning:Stay updated with the latest tools and technologies in data engineering through professional development opportunities.

Professional & Technical
Skills:

Strong proficiency in programming languages such as Python, SQL, and PySpark
Experience with cloud platforms (AWS, Azure, GCP) and their data services
Familiarity with ETL frameworks and data pipeline design
Strong knowledge of traditional statistical methods, basic machine learning techniques.
Knowledge of containerization tools (Docker, Kubernetes)
Knowing LLM, RAG & Agentic AI architecture
Certification in Data Science or related fields (e.g., AWS Certified Data Analytics Specialty, Google Professional Data Engineer)

Additional Information:The ideal candidate has a robust educational background in data engineering or a related field and a proven track record of building scalable, high-quality data solutions in the Consumer Goods sector.This position offers opportunities to design and implement cutting-edge data systems that drive business transformation, collaborate with global teams to solve complex data challenges and deliver measurable business outcomes and enhance your expertise by working on innovative projects utilizing the latest technologies in cloud, data engineering, and AI.About Our Company | Accenture
Qualification
Experience:Minimum 3-7 years in data engineering or related fields, with a focus on the Consumer Goods Industry
Educational Qualification:Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Bengaluru

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[Full Time] Data Science Analyst (Standard) at Infogain

Mon, 19 Jan 2026 12:00:00 +0530

Job Description

We are looking for passionate, enthusiastic Gen AI Developer for DXP Studio role.

As a Generative AI (GenAI) Evangelist, you will serve as a bridge between cutting-edge AI capabilities and the strategic goals of our marketing and martech teams. Your role is to identify real-world problems and opportunities within marketing workflows, campaign planning, customer experience, content generation etc and then envision and prototype GenAI-driven solutions, independent of a single technology or vendor stack.

Key responsibilities include:

Partner with Digital experience Platforms Implementation teams and customer marketing and martech teams to uncover inefficiencies, pain points, and innovation opportunities where GenAI can create value.

Ideate, prototype, and evangelize GenAI use cases such as content creation, personalization at scale, campaign optimization, customer journey analysis, etc

Translate business problems into GenAI-powe'red solutions, regardless of the underlying tech (OpenAI, IBM Watsonx, Google, Meta, open-source models, etc).

Educate and inspire internal stakeholders through demos, workshops, and thought leadership around GenAI capabilities and trends.

Stay on the pulse of emerging GenAI tools and applications relevant to marketing (text, image, audio, video generation, chatbot personalization, etc).

Collaborate with engineering, data, and platform teams to evaluate feasibility and assist in pilot deployments.

In this role you will report to Solutions Architect and presales consultants and will be responsible for quick PoCs, PoVs and demos.

Qualifications

Computer Science graduate

Knowledge of popular languages / frameworks (Java, Python, JavaScript, Node JS, React etc)

Credentials of applying Generative AI technologies in practical scenarios.

Hands-on experience working with GenAI tools (eg, OpenAI, Midjourney, Adobe Firefly, Claude, DALL E, IBM watsonx, etc).

Experience identifying business use cases and turning them into AI-powe'red workflows or prototypes (eg, using prompt engineering, low-code/no-code AI tools, or APIs).

Proven ability to communicate complex technical ideas to non-technical audiences.

Desirable skills

Understanding of Marketing technologies and platforms

Participation in GenAI bootcamps, online certifications (Coursera, LinkedIn Learning, etc), or hackathons is a plus.

Previous work with marketing or creative teams is highly preferred.

Soft Skills

Curious Problem-Solver : You ask the right questions, challenge assumptions, and think creatively about applying technology in new ways.

Strong Communicator : Comfortable presenting to marketing leaders and simplifying technical details for varied audiences.

Empathetic Listener : Able to understand the needs of marketing professionals and translate them into AI-enabled opportunities.

Adaptable & Tech-Agnostic : Can evaluate and work across multiple GenAI platforms or vendors without attachment to a single stack.

Self-Starter : Can work independently, take initiative, and drive projects from concept to outcome with minimal oversight.

Collaborative Mindset : Enjoys working cross-functionally and knows how to influence without authority.

SKILLS

Primary Skill: Data Science

Sub Skill(s): Data Science

Additional Skill(s): Data Science

Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infogain
Location(s): Bengaluru

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[Full Time] S&c Global Network - Ai - Cdi - Data Science Analyst at Accenture

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
About The Role
Job Title Ind & Func AI Decision Science Analyst - S&C GN
Management Level :11 - Analyst
Location:Gurgaon
Must have skills:Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent OrchestrationGood to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration
Job Summary:As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Developmento Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectureso Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomouslyo Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIso Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques:o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs).o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models:o Build and deploy AI models and Generative AI applications.o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy.o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment:o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability.o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing:o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks.o Document methodologies and findings for effective knowledge sharing.Professional & Technical Skills:

Must To Have Skills:
Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models.Professional & Technical Skills:

The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture Qualification Experience:Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Hyderabad

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[Full Time] S&c Global Network - Ai - Hi Tech - Data Science Sr. Analyst at Accenture HR Aditi

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
About The Role
Job Title - S&C Global Network - AI - Hi Tech - Data Science Senior Analyst
Management Level:10-Senior Analyst
Location:Bengaluru
Must-have skills:Prompt Engineering
Good to have skills:Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
WHAT'S IN IT FOR YOU?
We are seeking a skilled and experienced Senior Data Scientist to join our Hi-Tech practice.
The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, medical technology.
As a Senior Data Scientist, you will be responsible for developing AI models/applying GenAI techniques in areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products.
You will be leading design and delivery on client projects.
What you would do in this role
Develop and implement AI models and GenAI applications to address business challenges in semiconductors, enterprise technology, consumer technology, medical technology and related industries.
Collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments.
Create industry-leading points-of-view in the client domains you are working on that ensures our positioning as a value-partner
Design and implement GenAI based solutions through contextual prompt engineering and prompt tuning and supporting solution architects on the design of GenAI-powered solutions/assets.
Utilize your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions.
Design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques.
Architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems.
Leverage cloud platforms, with preference for Azure/GCP, and experience with AWS is also valued.
Stay updated on emerging technologies and industry trends, contributing to continuous improvement initiatives within the organization.
Professional & Technical Skills:
- Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment.
Proven track record of developing AI models in areas such as channel analytics, marketing & customer experience, supply chain analytics, predictive maintenance, production optimization, and connected products.
Strong proficiency in Python programming, with experience in NLP and Computer Vision.
Exposure to PLM/ERP/CRM systems and understanding of their integration with AI solutions.
Experience with cloud platforms, preferably Azure/GCP, and familiarity with AWS.
Knowledge of LLM exposure and experience with tools such as ChatGPT, Llama 2, Claude 2, Hugging Face, etc. for prompt engineering, prompt tuning, etc will be an advantage.
Additional Information:- Opportunity to work on innovative projects. - Career growth and leadership exposure.About Our Company | Accenture

Qualification Experience:Minimum 4 Years
Educational Qualification:Minimum 15 Years of Education
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Accenture
Location(s): Noida, Gurugram

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[Full Time] Analyst- Data Science at NOVARTIS

Mon, 19 Jan 2026 12:00:00 +0530

Job Description
The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency.
Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.

Key Responsibilities

Deliver predictive and classification models using machine learning and statistical algorithms as an individual contributor for various projects related to commercial pharma, in close collaboration with senior associates in the team.

Analyze large datasets from various sources (Claims, Sales, Promotions, etc) to uncover insights and drive decision-making processes

Bring in operational efficiencies in the existing processes by closely working with senior associates in the team.

Deliver through a structured project management approach with appropriate documentation and communication throughout the project delivery cycle.

Support the creation and maintenance of standard operating procedures and quality checklists to ensure excellent quality outputs within the function.

Deliver projects and manage internal customer expectations across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation and optimization, and ad-hoc requests.

Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI and LLM technologies.

Essential Requirements

1 2 years of experience in data science, preferably in pharmaceutical or healthcare sectors

Strong foundation in statistics, predictive analytics, machine learning, and deep learning

Proficiency in Python, R, and PySpark for data analysis and modeling

Proven problem-solving skills with a creative approach to complex challenges

Ability to collaborate effectively across time zones and diverse teams

Excellent verbal and written communication for stakeholder engagement

bachelors degree in a relevant field; Master of Science or MBA strongly preferred

Demonstrated ability to balance strategic thinking with operational execution

Desirable Requirements

Experience with AI technologies

Job Classification
Industry: Pharmaceutical & Life Sciences
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: NOVARTIS
Location(s): Hyderabad

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[Full Time] Vibration & Thermal Testing Engineer at Manufacturing Industry

Sun, 18 Jan 2026 16:42:14 +0530

Job Description
Looking for a Vibration & Thermal Testing Engineer with hands-on exp in environmental testing, preferably in defence/aerospace sector.The candidate should have strong skills in operating vibration systems,thermal chambers, and test instrumentation
Required Candidate profile
experience in vibration & thermal environmental testing
Knowledge of MIL-STD-810, JSS 55555, IEC other env test standards
Experience using accelerometers, logic analyzers,thermocouples & DAQ systems
Job Classification
Industry: Defence & Aerospace
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Manufacturing
Location(s): Noida, Gurugram

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[Full Time] Cloud AI Solutions Engineer at Teknosys

Sun, 18 Jan 2026 06:48:28 +0530

Job Description
Job Opportunity Cloud AI Solutions Engineer (Remote)
Positions: for offshore

Looking for candidates with:
5+ years in AI development / cloud computing
Experience with LLMs, RAG architectures
Hands-on with Azure AI, AWS, Google Cloud (Vertex AI), or OCI
Strong Python and API development
Microservices, Docker, Kubernetes, CI/CD
Multi-cloud AI solution deployment

This is a fully technical backend AI engineering role.

send your resume to allan@teknosys-inc.com

Thanks
Allan Donald
Senior Recruitment Manager
allan@teknosys-inc.com
7330785347
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Teknosys
Location(s): Hyderabad

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[Full Time] Aws Data Engineer- Redshift | Lambda | Python (female Candidate) at Infosys

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for AWS Developer | Redshift | Lambda | Python
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Aws Data Engineer- Redshift | Lambda | Python (female Candidate) at Infosys

Fri, 16 Jan 2026 12:00:00 +0530

Job Description
Job description
Hiring for AWS Developer | Redshift | Lambda | Python
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Full Time] Data Engineer at Bounteous x Accolite

Tue, 13 Jan 2026 12:00:00 +0530

Job Description
Looking for a Data Engineer(5-10 years)
Face to face interview - 17 Jan 2026

Job Title: Data Engineer
Experience: 5 10 Years
Location: Gurgaon
Role Overview
We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in Python, PySpark, and Airflow, with a proven ability to work on large-scale data processing systems.

Key Responsibilities
Design and implement robust ETL pipelines for data ingestion and transformation.
Develop and optimize workflows using Airflow for scheduling and orchestration.
Work with PySpark to process and analyze large datasets efficiently.
Collaborate with data scientists and analysts to ensure data availability and quality.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Implement best practices for data security, governance, and compliance.

Skills Required
Programming: Python (advanced), PySpark.
Workflow Management: Airflow.
Strong understanding of distributed systems and big data technologies.
Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
Knowledge of SQL and relational databases.

Qualifications
Bachelors or Masters degree in Computer Science, Engineering, or related field.
5+ years of experience in data engineering or related roles.
Hands-on experience with big data tools and frameworks.

Interested candidates, do share your resumes to kannamareddy.ramyasrikarthika@bounteous.com
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Bounteous x Accolite
Location(s): Noida, Gurugram

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[Full Time] Analytics Data science and IOT Lead at Hexaware Technologies

Tue, 13 Jan 2026 12:00:00 +0530

Job Description
Objectives of this role
Develop custom python libraries and data structures for data processing
should be able to create data ingestion, curation and validation pipeline for AI model data fine tuning
Keep current with technical and industry developments
Responsibilities
Serve as lead developer to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
Develop libraries in python, spark, or other equivalent programming languages
Should have hands on experience in data modeling, processing, and categorization of data
Execute analytical experiments to help solve problems
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Analyze data for trends and patterns, and interpret data with clear objectives in mind
Implement analytical models in production by collaborating with software developers and machine-learning engineers
Required skills and qualifications
5 or more years of experience in Python, big data analytics or AI/Gen AI development projects
Proficiency with data mining, mathematics, and statistical analysis
Good knowledge of AI based python libraries and usage.
Should possess hands on experience in AI/Gen AI based development projects
Advanced experience in pattern recognition and predictive modeling
Experience with Excel, PowerPoint, Power BI /any reporting tools , SQL, and programming languages (ex: Java/Python, SAS)
Ability to work effectively in a dynamic, research-oriented group
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Hexaware Technologies
Location(s): Pune

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[Full Time] OpenShift Administrator at Wipro

Mon, 12 Jan 2026 19:22:43 +0530

Job Description
OpenShift Administrator
skill : Kubernetes, OpenShift, Docker, Linux
WORKING 3 DAYS HYBRID MODEL FROM OFFICE
LOCATION :PAN INDIA
Experience Summary:
Have 6+ years of overall work experience & 4+ years of experience in Containerization, kubernetes & OpenShift and Linux Administrator
Good knowledge on virtualization and containerization.
Very Good Knowledge on installing Open shift cluster on bare metal.
Having good experience in installing operators in Open shift clusters using operator hub.
Installing IBM App Connect & API connect operators on OpenShift.
Having Knowledge on OpenShift Image registry setup & pushing images into it.
Configuring ODF (OpenShift Data Foundation) in OCP Cluster.
Installing MQ operator using operator hub.
Good knowledge on docker, containerization & kubernetes concepts. Role & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Wipro
Location(s): Hyderabad

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[Full Time] Aws Data Engineer- Redshift | Lambda | Python (female Candidate) at Infosys

Mon, 12 Jan 2026 16:50:12 +0530

Job Description
Job description
Hiring for AWS Developer | Redshift | Lambda | Python
Mandatory Skills: AWS cloud

Responsibilities
A day in the life of an Infoscion
As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment
You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs
You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements.
You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives
You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: Infosys
Location(s): Hyderabad

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[Contract] Gcp Data Engineer at Trigent Software

Mon, 12 Jan 2026 13:33:01 +0530

Job Description
We are looking for an experienced Data Engineer with deep expertise in Google
Cloud Platform (GCP) to design, build, and manage end-to-end data systems that
drive analytics, business intelligence, and AI initiatives.
In this role, youll be responsible for building high-performance data pipelines that
handle data ingestion, transformation, and integration (ETL/ELT) across multiple
systems. Beyond ETL, you will design the broader data infrastructure, including
data lakes, workflow orchestration, API-driven integrations, and CI/CD automation
to ensure scalability, reliability, and seamless data flow across the enterprise.
This is a hands-on engineering position that blends data architecture, software
engineering, and cloud infrastructure expertise. Youll collaborate closely with
analytics, data science, and product teams to enable a modern, data-driven
ecosystem.
Key Responsibilities
Design and develop scalable data pipelines using GCP services such as
BigQuery, Dataflow (Apache Beam), Pub/Sub, Dataproc, and Cloud
Composer (Airflow).

Implement end-to-end ETL/ELT workflows that extract data from multiple
sources, transform it into meaningful formats, and load it into data
warehouses or data lakes.

Architect and maintain data lake environments using Cloud Storage and
integrate with downstream analytical tools.

Automate data ingestion frameworks from APIs, streaming platforms, and
external systems into the cloud.

Implement workflow orchestration and job automation with Airflow/Cloud
Composer to ensure smooth and reliable pipeline execution.

Enable real-time data streaming and event-driven processing using Pub/Sub,
Kafka, or Dataflow.

Collaborate with analytics and ML teams to design data models, feature
stores, and data marts that power reporting and AI solutions.

Develop API-based data services and reusable connectors to enhance
cross-platform data accessibility.

Integrate CI/CD best practices for data pipelines, including testing,
versioning, and automated deployment through Git, Terraform, and Cloud
Build.

Establish data governance, lineage, and observability frameworks to ensure
data quality, security, and compliance.

Required Skills & Experience

47 years of experience in data engineering or ETL development with large-
scale data systems.

Strong proficiency in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub,
Dataproc, Cloud Storage, Composer).

Solid understanding of ETL/ELT design principles, data modeling, and data
warehouse architecture.

Proficiency in Python, SQL, and experience with distributed data processing
frameworks (Apache Beam, Spark).

Experience building data lakes and managing schema evolution in
structured and semi-structured data (JSON, Parquet, Avro).

Skilled in workflow orchestration (Airflow, Dagster, or Prefect) and
infrastructure automation (Terraform, Cloud Deployment Manager).

Familiarity with API integrations, event streaming, and real-time data
processing.

Google Professional Data Engineer Certification or equivalent.

Experience with modern data stack tools like DBT, Looker, or Dataform.

Familiarity with machine learning data pipelines or feature engineering
workflows.
Job Classification
Industry: Analytics / KPO / Research
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: Trigent Software
Location(s): Bengaluru

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[Contract] Data Engineer/data Warehouse Expert - Ab Pmjay, Nha at National Institute

Mon, 12 Jan 2026 13:26:29 +0530

Job Description
Data Engineer/Data Warehouse Expert - AB PMJAY, NHA

About the role:

NHA is seeking a talented and motivated Data professional with hands-on experience in data related technologies to drive and implement data driven insights. The candidate should have a proven track record of managing large databases with deep knowledge of databases operations, performance tuning, data migration, building data flow pipelines, data warehouse and data lake setup.

Qualifications

B.E/B.TECH OR MCA from a reputed college/University.

Technical Experience and Qualifications:

Overall, minimum 10 years of total IT experience post qualification completion.
Strong SQL skills and experience working with relational and NoSQL databases like PostgreSQL, Mongo dB etc.
Design, build, and maintain scalable and efficient data pipelines and ETL processes to support data analytics and reporting needs.
Hands on Data Modelling, Data warehouse design and implementation experience.
Working with Cloud vendors hands on experience on tools like AWS Glue, Redshift, EMR with deep understanding of cloud infra and capabilities.
Data migration experience from on-Prem to Cloud.
Knowledge of data security practices and database backup and archival processes.
Excellent understanding on DB concepts, performance tuning etc.
Experience in building Datawarehouse, data lake solutions with Hadoop.
Expertise on Python-Pandas, Spark tools, ability to handle Parquet, ORC, AVRO file formats.
Experience on data quality tools, data governance best practices.
Excellent communication, ability to articulate and leadership skills.

Certifications:

AWS Certified data engineer or Google's Cloud Data Engineer Professional Certificate or Microsoft Azure Data Engineer is preferred.
Key Mandate:

Design, build, and maintain scalable and efficient data pipelines and ETL processes to support data analytics and reporting needs.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Implement data quality and governance processes to ensure accuracy, completeness, and reliability of data.
Review and implement database best practices, help build processes to make data driven organization.
Review and implement the disaster recovery procedures.
Identify and address performance bottlenecks and optimization opportunities in data processing and storage systems.
Stay up to date with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data infrastructure.
Job Classification
Industry: Management Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Contract
Contact Details:
Company: National Institute
Location(s): Delhi, NCR

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