Data scientist
Capgemini Bengaluru, Karnataka, India
IT Services and IT Consulting · 10,001+ employees
About the role
The Data Scientist will develop and implement machine learning models, predictive analytics, and generative AI solutions. They will also be responsible for data modeling, feature engineering, and statistical analysis to support engineering services.
What they look for
Requirements
Candidates must have advanced proficiency in Python, SQL, and modern web frameworks like React or Angular. Strong expertise in AI/ML, LLMs, and cloud platforms such as AWS SageMaker is required.
Full description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
Programming: Advance Python, SQL OR JavaScript’s/ React/Angular, SQL
AI/ML: Machine Learning, Predictive Analytics, Time-Series Forecasting, Anomaly Detection, Classification
GenAI: LLMs, Prompt Engineering, RAG, LLM Guardrails, MCP Servers / Agent Tool Layer, MCP Servers / Agent Tool Layer
Platforms: AWS, SageMaker
Data: Data Modeling, Feature Engineering, Data Visualization, Statistical Analysis
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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