Internship - Data Scientist

Beschreibung

Lombard Odier is a renowned global wealth manager and asset manager focused on sustainable investments. An independent and innovative bank of choice for private and institutional clients, the group is among the best-capitalised in the world, managing around CHF 300 billion in assets across more than 25 offices on four continents. With over 230 years of history, Lombard Odier offers a comprehensive range of discretionary and advisory portfolio management and financial services. Its state-of-the-art technology platform is also marketed to other financial institutions. Through Lombard Odier Investment Managers, the group provides asset management services and investment strategies. Five values define the firm's DNA: Excellence, Innovation, Respect, Integrity, and One Team. Contribute to the definition and implementation of a monitoring framework for AI Copilot agents covering: response quality (defining metrics such as accuracy, relevance, and hallucination rate, and implementing automated evaluation mechanisms); performance and stability (monitoring response times, error rates, availability, and robustness); user adoption (tracking usage, analyzing user journeys, measuring satisfaction via feedback, NPS, and reuse rate); costs and FINOps (monitoring inference and usage costs, optimizing the value-to-cost ratio). 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. Deliver a structured framework (metrics, dashboards, standards), architecture and process recommendations, a first version of the monitoring solution (dashboards or automated reporting), and guidelines for setup, configuration, and resource variability. Student enrolled in an engineering school or Data Science programme with a specialization in AI, LLMs, and production deployment challenges. Strong data analysis and technical skills are essential. Good organizational skills, autonomy, and critical thinking are required. An opportunity to work at one of the world's leading private banks with over 230 years of history in a collaborative and inclusive work environment. Exposure to cutting-edge AI and technology initiatives within a globally recognized financial institution. Internal career development through individualized, competency-based training offerings. A culture built on diversity, equity, and inclusion, with the firm committed to helping employees achieve both professional and personal goals. All applications are treated in strict confidence.

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