Internship - Data Scientist

p A career at b Lombard Odier /b means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents. br p With a history spanning over 230 years, b Lombard Odier /b is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through b Lombard Odier Investment Managers /b and provide advanced banking technology to other financial institutions. br  /ppb“Rethink Everything” is our philosophy /b – it is at the heart of everything we do. We have grown stronger through more than 40 financial crises by rethinking the world around us to provide a fresh investment perspective for our clients. /ppb Internship - Data Scientist /b /pp 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. /ppb YOUR ROLE /b /pp The intern will contribute to the definition and implementation of a monitoring framework covering: /pullipb Response quality /b : defining metrics (accuracy, relevance, hallucination rate), and implementing (automated) evaluation mechanisms /p /lilipb Performance and stability /b : monitoring response times, error rates, availability, and robustness of agents /p /lilipb User adoption /b : tracking usage, analyzing user journeys, measuring satisfaction (feedback, NPS, reuse rate) /p /lilipb Costs and FINOps /b : monitoring inference and usage costs, optimizing the value-to-cost ratio /p /li /ulpb Development environment and industrialization: /b /pullip Contributing to the structuring of a standardized Sandbox environment in collaboration with IT Infrastructure teams /p /lilip Implementing resource variability (Outlook, SharePoint, Teams, etc.) to facilitate production deployment /p /lilip Writing recommendations and best practices for integration, deployment, and industrialization of agents /p /li /ulpb Expected Deliverables /b /pullip A structured framework (metrics, dashboards, standards) /p /lilip Recommendations on architecture, processes, and development environment /p /lilip A first version of the monitoring solution (e.g., dashboards or automated reporting) /p /lilip Guidelines for setup, configuration, and resource variability /p /li /ulpb YOUR PROFILE /b /pullip Student in engineering school / Data Science /p /lilip Specialization in AI, LLMs, and production deployment challenges /p /lilip Comfortable with data analysis and technical environments /p /lilip Strong organizational skills, autonomy, and critical thinking /p /li /ulpb Our Maison’s DNA /b is defined by five core values. b Excellence /b drives us to be the best at what we do, while b Innovation /b fuels our progress. b Respect /b underpins every interaction, and b Integrity /b shapes our actions. Together, we are b One Team /b , united in serving our clients with unwavering dedication. /pp As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. b Diversity, Equity and Inclusion /b are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. /ppb It is an exciting time to join our Teams. All applications will be handled in the strictest confidence. /b /p /p