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

Stellenbeschreibung

Join Lombard Odier, a global asset manager focused on sustainable investments. Embrace a supportive environment with great opportunities. Tasks Develop AI-driven tools to enhance client engagement and retention. Analyze client data to identify engagement patterns and risks. Collaborate with stakeholders to present insights and recommendations. Skills Master's student in Computer Science, Data Science, or Engineering. Strong analytical mindset with interest in AI and predictive analytics. Experience with backend, frontend, and database technologies. This job ad was AI-translated from German. See original About the job Choosing a career at Lombard Odier means working for a renowned, global asset manager and wealth manager focused on sustainable investments. We are an independent and innovative bank of first choice for private and institutional clients. Our group is one of the best capitalised worldwide. We manage around CHF 300 billion and operate from over 25 offices across four continents. With our over 230-year history, we are an investment house offering a comprehensive range of discretionary and advisory portfolio management as well as financial services. We also successfully market our state-of-the-art technology platform to other financial institutions. Through Lombard Odier Investment Managers, we offer asset management services and investment strategies. "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 constantly rethinking the world around us. This allows us to consistently offer our clients new investment perspectives. 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. Five values define the DNA of our house. Excellence motivates us to be the best in our field, and innovation enables our progress. Respect is the foundation of our interactions, and integrity guides our actions. Together we are One Team, passionately committed to serving our clients. We promote an inclusive and integrative working environment for our employees. Diversity, equality and inclusion are firmly embedded in our corporate mission ‘La Maison’ and we strive to enable our employees to achieve both their professional and personal goals. We encourage internal career paths through individualised and competency-based training offers. We firmly believe that building diverse teams contributes to our sustainable success and is therefore the foundation of our corporate strategy. It is a great opportunity to become part of the team. All applications will be treated with strict confidentiality.