Data Science Consultant (GenAI/AgenticAI)

Capgemini operates in the Insights & Data sector, focusing on data science and cutting-edge AI including predictive modeling, advanced analytics, generative and agentic AI. The company supports career development with access to training and certifications, and promotes a hybrid working model with ergonomic home office equipment.

• Strong foundation in data science and applied machine learning.
• Hands-on Python experience for analytics and ML.
• Practical exposure to GenAI tools (LLMs, RAG, prompt design, evaluation).
• Interest or experience in agentic AI and LLM orchestration frameworks.
• Familiarity with at least one cloud platform (GCP, AWS, Azure).
• Understanding of production fundamentals: versioning, testing, CI/CD.
• Experience with modern data platforms (Databricks or Snowflake).
• Confidence in client-facing and consulting environments.
• Pragmatic, delivery-focused mindset.
• High ownership, autonomy, and problem-solving maturity.

• Translate business challenges into analytical and AI-driven solutions.
• Design and deliver end-to-end data science and GenAI use cases.
• Build LLM-based applications (RAG, copilots, AI workflows).
• Prototype and implement agentic AI solutions.
• Develop models and pipelines in Python.
• Work with cloud AI stacks (GCP, AWS, Azure).
• Contribute to deployment, testing, and CI/CD processes.
• Participate in workshops and stakeholder alignment.
• Communicate insights and tradeoffs clearly.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. They evaluate individuals based on qualifications and performance, not personal characteristics.