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Data Scientist @ Cognizant

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 Data Scientist

Job Description

 Job Role: Data Scientist

Experience: 5-8 years

Location: Bangalore, India

Employment Type: Full Time, Hybrid.

 About Cognizant

Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment.

 

Cognizant Advanced AI Lab / Neuro AI team

 The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications.  The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Labs mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life.

Your role:

As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration.

 Key responsibilities:

  • Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users
  • Monitor and analyze the performance of software applications and infrastructure
  • Collaborate with cross-functional teams to identify and prioritize business requirements
  • Research, design and implement novel AI systems to support decision-making processes
  • Work with the research team to publish papers and patents
  • Communicate research findings to both technical and non-technical audiences
  • Provide guidance on our Neuro AI offering and AI best practices
  • Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams

 

Your profile:

  • PhD or Masters in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field
  • 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering
  • Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub
  • Experience with handling large datasets, data engineering, statistical analysis, and building predictive models
  • Experience developing AI software platforms and tools
  • Knowledge of data visualization tools (e.g. Matplotlib, Tableau, )
  • Knowledge of Generative AI and LLMs is a plus
  • Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability
  • Strong problem-solving and analytical skills
  • Strong attention to detail and ability to work independently
  • Ability to leverage design thinking, business process optimization, and stakeholder management skills

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Full Stack Data Scientist
Employement Type: Full time

Contact Details:

Company: Cognizant
Location(s): Bengaluru

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Keyskills:   python github analytical python development jupyter notebook numpy machine learning data engineering artificial intelligence pandas analytics deep learning tensorflow tableau data science matplotlib pytorch software engineering data visualization programming statistics

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Cognizant

Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and solutions that serve a wide range of market participants, including individual and institutional investors in public and priv...