Internship - Data Scientist

Reposted 10 Days Ago
Be an Early Applicant
Geneva, CHE
In-Office
Internship
Financial Services
The Role
Intern will define and implement a monitoring framework for AI Copilot agents covering response quality (accuracy, relevance, hallucination), performance/stability, user adoption, and inference/cost monitoring. Contribute to a standardized Sandbox environment, enable resource variability (Outlook, SharePoint, Teams), deliver dashboards/automated reports, and produce recommendations, guidelines, and best practices for production deployment and industrialization.
Summary Generated by Built In

A career at Lombard Odier 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.
 

With a history spanning over 230 years, Lombard Odier 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 Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions.
 

“Rethink Everything” is our philosophy – 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.

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

Our Maison’s DNA is defined by five core values. Excellence drives us to be the best at what we do, while Innovation fuels our progress. Respect underpins every interaction, and Integrity shapes our actions. Together, we are One Team, united in serving our clients with unwavering dedication.

As a responsible and supportive employer, we promote a diverse and inclusive work environment for our employees and candidates. Diversity, Equity and Inclusion 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.

It is an exciting time to join our Teams. All applications will be handled in the strictest confidence.

Skills Required

  • Student in engineering school or Data Science
  • Specialization in AI, LLMs, and production deployment challenges
  • Comfortable with data analysis and technical environments
  • Strong organizational skills, autonomy, and critical thinking
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The Company
HQ: Geneva
3,027 Employees
Year Founded: 1796

What We Do

For over 225 years, Lombard Odier has focused on its central mission: to build strong, long-lasting client partnerships based on expertise, trust and care. Our Group strives to create sustainable value for private and institutional clients, combining leading investment solutions with stability and a robust balance sheet. Our unwavering commitment to the long-term interests of our clients is underpinned by our independent partnership model as our Firm is solely owned by our Managing Partners. We are guided by one key philosophy: rethink everything®. We constantly rethink the world around us to provide a fresh investment perspective for our clients. By offering a comprehensive suite of services, from discretionary and advisory portfolio management to wealth planning and custody, we offer our clients quality, bespoke solutions. Our cutting-edge banking technology not only sets industry standards, but also serves as a beacon for Swiss and European private banks and financial institutions. At Lombard Odier, we are convinced that the transition to a net-zero, nature-positive economy will be the most profound economic transformation of all time. Our role is to help our clients navigate this major shift by identifying related investment opportunities. Headquartered in Geneva with offices on five continents, we are guided by a team of around 3000 dedicated professionals who continue to shape the future of global wealth management.

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