Data Scientist @ Capgemini

We are seeking a Data & AI Engineer / AI Data Scientist with strong hands-on experience in Python, Databricks, and LLM-based solutions. The role combines data engineering, LLM/agentic workflow development, and LLM evaluation & quality assurance, supporting enterprise-scale AI initiatives.

The candidate should be capable of working across the data layer, AI/LLM workflows, and evaluation frameworks, with experience deploying solutions in cloud environments (preferably Azure).

Primary (Mandatory) Skills

• Strong Python programming experience
• Databricks: PySpark, SQL, Delta Lake
• Experience with LLMs, prompt engineering, and RAG concepts
• Hands-on experience with agentic AI or workflow orchestration
• Data modeling and data quality fundamentals
• Experience working in enterprise-scale environments

Experience Requirements

• 4-8 years of experience in Data Engineering, AI Engineering, or AI/Data Science roles
• Strong hands-on experience with Databricks and Python
• Exposure to LLM-based systems (development, evaluation, or testing)