At a Glance
- Tasks: Transform the Investment Bank using AI to deliver measurable business outcomes.
- Company: Join UBS, a leading global wealth manager with a collaborative culture.
- Benefits: Flexible working options, supportive team, and opportunities for growth.
- Other info: Inclusive culture with a commitment to disability inclusion and career returners.
- Why this job: Make a real impact by designing and deploying innovative AI solutions.
- Qualifications: Experience in data science, machine learning, and strong Python skills required.
The predicted salary is between 80100 - 97900 £ per year.
Key responsibilities
- 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?
- Partner with stakeholders to identify high-value opportunities and deliver measurable business outcomes such as revenue enablement, risk reduction and productivity.
- Design, build and deploy production-grade AI solutions across the Investment Bank.
- Create reusable products using LLMs, agentic systems, machine learning and rules-based analytics.
- Drive delivery from discovery and prototyping through integration, deployment and adoption.
- Develop reusable patterns for APIs, system integration, orchestration and observability.
- Ensure solutions are secure, reliable and maintainable through effective controls, monitoring, testing and documentation.
- Apply experimentation, quantitative analysis and model evaluation to guide design decisions and demonstrate impact.
Your skills and experience
- Relevant experience in data science, machine learning, applied AI or software engineering, including hands-on experience developing and deploying production LLM-based or agentic AI solutions.
- Applied AI expertise in natural language processing (NLP), retrieval-augmented generation (RAG) and semantic search.
- Experience designing AI solutions with effective guardrails, evaluation, monitoring and governance.
- Advanced Python and software engineering skills, including testing, CI/CD and cloud services.
- Data engineering experience integrating structured and unstructured data across databases, APIs and enterprise data environments.
- Quantitative modelling and analytical skills, including statistical analysis and time-series methods.
- Effective communication and stakeholder-management skills across business and technology functions.
- Master’s degree or PhD in Computer Science, Engineering, Mathematics, Physics, Quantitative Finance 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.
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’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Data Scientist in London employer: UBS
UBS is an exceptional employer, offering a dynamic work environment in London where collaboration and innovation thrive. As a CCP Risk Manager, you'll benefit from a culture that prioritises employee growth, providing opportunities to tackle complex challenges while utilising cutting-edge AI technologies. With a commitment to inclusivity and flexible working options, UBS ensures that every team member can contribute meaningfully to our collective success.
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We think you need these skills to ace Data Scientist in London
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