Join Capgemini and empower your career within a global collaborative community. We help leading organizations harness technology to build a more sustainable and inclusive future. As a Data Scientist, you will drive business outcomes by designing, developing, and deploying advanced machine learning and Generative AI solutions. Leverage cutting-edge analytics and predictive modeling to optimize operations and deliver intelligent automation.

Develop and deploy machine learning models for prediction, forecasting, anomaly detection, and optimization. Build AI solutions for root cause analysis, risk scoring, and operational intelligence. Create Generative AI applications using LLMs, RAG, and prompt engineering. Design AI-powered virtual assistants and knowledge discovery systems. Perform data exploration, feature engineering, and statistical analysis. Translate business needs into scalable AI and analytics solutions. Ensure deployed models are robust and production-ready.

This role requires 6-14 years of experience with strong programming skills in Python and SQL. Expertise in machine learning, predictive analytics, and Generative AI, including LLMs and RAG, is essential. Experience with cloud platforms like AWS and Amazon SageMaker is preferred. A solid understanding of data modeling, feature engineering, and MLOps/LLMOps practices is needed. Familiarity with Industrial IoT, Network Analytics, and OT Analytics is beneficial. Experience with LangChain and AI orchestration frameworks is a plus.