Machine Learning Engineer Intern – Dashboard Ranking

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

Requirements:

Masters student in Computer Science, Data Science or Software Engineering

Interest in AI, Machine Learning or behavioral analytics

Good Java development skills

Strong analytical mindset

Ability to transform ideas into practical solutions

Residence in Switzerland or willingness to relocate

Responsibilities:

Design and prototype an intelligent ranking engine to help users focus on the most impactful actions within a critical operational dashboard

Analyze historical user behavior and action completion patterns

Build recommendation and prioritization algorithms

Explore AI- and LLM-based ranking approaches

Design backend services and user-facing features

Collaborate with Product Owners and business experts

Validate the impact of recommendations in real operational scenarios

Technologies:

AI

Backend

Support

Java

LLM

Machine Learning

Fabric

More:

At Lombard Odier, we are a renowned global wealth and asset manager focused on sustainable investing. Our independently owned Firm is one of the worlds best-capitalised banking groups, managing close to CHF 300 billion and operating from more than 25 offices across four continents. With a history spanning over 230 years, we provide discretionary and advisory portfolio management, wealth services, custody, asset management and investment strategies, as well as advanced banking technology to other financial institutions. Our Rethink Everything philosophy guides our work. This internship is with our Wealth Management Technology team and combines software engineering, behavioral analytics and AI to address the prioritization needs of bankers and operations teams. We offer exposure to real decision-support challenges, the opportunity to combine product thinking, AI and engineering, a high-visibility project with daily business impact, and mentoring from technology, product and business experts. Our core values are Excellence, Innovation, Respect, Integrity and One Team. We promote a diverse and inclusive workplace and support employees personal and professional aspirations through internal mobility and individual upskilling programs. Applications are handled in the strictest confidence.

last updated 40 week of 2026