Data Scientist - Investment Bank

Are you passionate about using AI to transform the Investment Bank? Do you want to turn strategic opportunities into secure, scalable solutions with measurable business impact?

We’re looking for a Data Scientist to:

• Partner with stakeholders to identify high-value opportunities and contribute to business outcomes such as revenue enablement, risk reduction, and productivity improvement
• Build and deploy AI solutions across the Investment Bank
• Develop reusable products and components using LLMs, agentic systems, machine learning, and rules-based analytics
• Contribute throughout the delivery lifecycle, from discovery and prototyping through integration, deployment, and adoption
• Integrate solutions with APIs, enterprise systems, and data platforms
• Ensure solutions are secure, reliable, and maintainable through appropriate testing, monitoring, controls, and documentation
• Apply experimentation, quantitative analysis, and model evaluation to inform design decisions and demonstrate impact

Your team

You’ll join the IB AI Delivery Hub, with team members based in London and Zurich. The team works with strategic partners across Business, Quant, Risk, and Technology to address high-impact challenges and deliver AI capabilities that scale across the Investment Bank.
We combine applied AI expertise, engineering discipline, and quantitative judgement with a collaborative, cross-functional approach.

Your expertise

• Hands-on experience building and implementing AI or machine learning solutions in a professional, academic, or internship setting
• Knowledge of applied AI techniques such as natural language processing (NLP), retrieval-augmented generation (RAG), semantic search, and large language models
• Understanding of model evaluation, testing, monitoring, and responsible AI practices
• Solid Python programming skills and knowledge of productionising AI and machine learning solutions, including version control, automated testing, CI/CD, deployment, and monitoring
• Experience working with structured and unstructured data across databases, APIs, and other data environments
• Strong analytical and problem-solving skills, including experience with statistical analysis and data exploration
• Effective communication skills and the ability to collaborate with stakeholders across business and technology functions
• A bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Physics, Quantitative Finance, Data Science, or a related field, or equivalent practical experience
• Experience in financial markets, pricing, risk, or analytics is an advantage

About us

UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That’s why we place collaboration at the heart of everything we do. Because together, we’re more than ourselves. Want to find out more? Visit ubs.com/careers.

Join us

At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves.
We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.

Disclaimer / Policy statements

UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.