Internship - Data Scientist

Responsibilities

• Define metrics (accuracy, relevance, hallucination rate) and implement automated evaluation mechanisms for response quality.
• Monitor response times, error rates, availability, and robustness of agents for performance and stability.
• Track usage, analyze user journeys, and measure satisfaction (feedback, NPS, reuse rate) for user adoption.
• Monitor inference and usage costs, and optimize the value-to-cost ratio for costs and FINOps.
• Contribute to structuring a standardized Sandbox environment in collaboration with IT Infrastructure teams.
• Implement resource variability (Outlook, SharePoint, Teams, etc.) to facilitate production deployment.
• Write recommendations and best practices for integration, deployment, and industrialization of agents.

Requirements

• Student in engineering school / Data Science.
• Specialization in AI, LLMs, and production deployment challenges.
• Comfortable with data analysis and technical environments.
• Strong organizational skills, autonomy, and critical thinking.