Internship - AI Engineer - AI-Powered CRM, Engagement & Churn Analysis

Salary: CHF 55'000 - 75'000 per year

Requirements:

• Masters student in Computer Science, Data Science or Engineering.
• Strong analytical mindset.
• Interest in AI, predictive analytics and behavioural modelling.
• Experience with backend, frontend and database technologies.
• Knowledge of data science or machine learning frameworks is a plus.
• Curious, proactive and result-oriented.
• Residence in Switzerland or willingness to relocate

Responsibilities:

• Develop AI-driven capabilities that measure client engagement and help bankers proactively identify churn risks and relationship opportunities.
• Analyse client interaction data and behavioural indicators.
• Identify meaningful engagement metrics.
• Explore machine learning and predictive analytics techniques.
• Develop dashboards and insights for bankers.
• Build proof-of-concept predictive models.
• Collaborate with business stakeholders to validate findings.
• Present recommendations and potential enhancements.

Technologies:

• AI
• Backend
• CRM
• Frontend
• Machine Learning
• Fabric

More:

A career at Lombard Odier means working for a renowned global wealth and asset manager with a strong focus on sustainable investing. We are an innovative bank of choice for private and institutional clients, independently owned and 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, we provide discretionary and advisory portfolio management, wealth services and custody, as well as asset management services and investment strategies through Lombard Odier Investment Managers and advanced banking technology to other financial institutions. This internship is for an AI Engineer focused on AI-Powered CRM, Engagement & Churn Analysis. We offer exposure to real business and client relationship challenges, hands-on experience with AI and predictive analytics, the opportunity to work with large-scale banking datasets, and visible contribution to strategic CRM transformation initiatives. We promote a diverse and inclusive work environment and encourage internal mobility and individual upskilling programs. We value Excellence, Innovation, Respect, Integrity and One Team.

last updated 39 week of 2026