Internship - Data Scientist

pA career at bLombard 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/  /ppWith a history spanning over 230 years, bLombard 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 bLombard 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. /ppbInternship - Data Scientist /b /ppAs 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. /ppbYOUR ROLE /b /ppThe intern will contribute to the definition and implementation of a monitoring framework covering: /plipbResponse quality /b: defining metrics (accuracy, relevance, hallucination rate), and implementing (automated) evaluation mechanisms /p /lilipbPerformance and stability /b: monitoring response times, error rates, availability, and robustness of agents /p /lilipbUser adoption /b: tracking usage, analyzing user journeys, measuring satisfaction (feedback, NPS, reuse rate) /p /lilipbCosts and FINOps /b: monitoring inference and usage costs, optimizing the value-to-cost ratio /p /lipbDevelopment environment and industrialization: /b /plipContributing to the structuring of a standardized Sandbox environment in collaboration with IT Infrastructure teams /p /lilipImplementing resource variability (Outlook, SharePoint, Teams, etc.) to facilitate production deployment /p /lilipWriting recommendations and best practices for integration, deployment, and industrialization of agents /p /lipbExpected Deliverables /b /plipA structured framework (metrics, dashboards, standards) /p /lilipRecommendations on architecture, processes, and development environment /p /lilipA first version of the monitoring solution (e.g., dashboards or automated reporting) /p /lilipGuidelines for setup, configuration, and resource variability /p /lipbYOUR PROFILE /b /plipStudent in engineering school / Data Science /p /lilipSpecialization in AI, LLMs, and production deployment challenges /p /lilipComfortable with data analysis and technical environments /p /lilipStrong organizational skills, autonomy, and critical thinking /p /lipbOur Maison’s DNA /bis defined by five core values. bExcellence /b drives us to be the best at what we do, while bInnovation /b fuels our progress. bRespect /b underpins every interaction, and bIntegrity /bshapes our actions. Together, we are bOne Team /b, united in serving our clients with unwavering dedication. /ppAs a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. bDiversity, 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. /ppbIt is an exciting time to join our Teams. All applications will be handled in the strictest confidence. /b /p