Bachelor s degree in computer science or a related field OR master s degree in statistics, economics, business economics, econometrics, or operations research.
5-10 years of experience in the Analytics/Data Science domain.
Experience with Generative AI techniques and tools.
Familiarity with ETL methods, data imputation, data cleaning, and outlier handling.
Familiarity with AWS cloud platform and AI/ML services.
Knowledge of databases and associated tools such as SQL.
Technical Skills Desirable:
Expertise in Deep learning, Segmentation, Classification and Ensemble techniques
Multi-agent frameworks, and Evaluation frameworks.
Proficiency in programming languages such as Python.
Technical Skills Good to Have:
Agentic AI
API development
Deployment of Data science and GenAI applications
Exposure to Big Data technologies like Spark.
Specific Responsibilities
Requirement Gathering:
Translate business requirements into actionable analytical plans.
Ensure alignment with the customer s strategic objectives.
Data Handling:
Identify appropriate data sources to address business problems.
Resolve data discrepancies, including ETL tasks, missing values, and outliers.
Development and Execution:
Deliver projects and POC initiatives from inception to completion.
Develop and refine technical and analytics architecture.
Implement scalable analytical frameworks and data pipelines.
Coordinate with cross-functional teams.
Deliver production-ready models and solutions.
Monitor success metrics and ensure high-quality output.
EXPERIENCE
Keyskills: deep learning Operations research data science Data modeling Analytical Programming big data Analytics SQL Python
A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.