Internship - Data Scientist

Internship -  Data Scientist

As part of the deployment of AI Copilot agents, we are looking to structure a monitoring framework to effectively manage their performance, quality, and adoption, while keeping associated costs under control.

YOUR ROLE

The intern will contribute to the definition and implementation of a monitoring framework covering:

• Response quality: defining metrics (accuracy, relevance, hallucination rate), and implementing (automated) evaluation mechanisms

• Performance and stability: monitoring response times, error rates, availability, and robustness of agents

• User adoption: tracking usage, analyzing user journeys, measuring satisfaction (feedback, NPS, reuse rate)

• Costs and FINOps: monitoring inference and usage costs, optimizing the value-to-cost ratio

Development environment and industrialization:

• Contributing to the structuring of a standardized Sandbox environment in collaboration with IT Infrastructure teams

• Implementing resource variability (Outlook, SharePoint, Teams, etc.) to facilitate production deployment

• Writing recommendations and best practices for integration, deployment, and industrialization of agents

Expected Deliverables

• A structured framework (metrics, dashboards, standards)

• Recommendations on architecture, processes, and development environment

• A first version of the monitoring solution (e.g., dashboards or automated reporting)

• Guidelines for setup, configuration, and resource variability

YOUR PROFILE

• 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