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

Bank Lombard Odier & Co Geneva, Switzerland
Posted 15 hours ago Permanent Competitive

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

Bank Lombard Odier & Co Geneva, Switzerland
Internship - AI Engineer - AI-Powered CRM, Engagement & Churn Analysis
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 - AI Engineer - AI-Powered CRM, Engagement & Churn Analysis

Understanding client engagement has become a key differentiator in modern wealth management. Relationship managers need better tools to identify evolving client behaviours, anticipate risks and proactively strengthen client relationships.

As part of our AI-Powered CRM initiative, you will help build intelligent models capable of identifying engagement patterns and detecting early warning signals that may indicate declining client interaction or potential attrition.

YOUR ROLE
  • 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.

YOUR PROFILE
  • Master's 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

WHAT YOU WILL GAIN
  • Exposure to real business and client relationship challenges.
  • Hands-on experience with AI and predictive analytics.
  • Opportunity to work with large-scale banking datasets.
  • Visible contribution to strategic CRM transformation initiatives.

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.
Job ID  R0007639
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