Data Scientist, Investment Bank

Overview

As a Data Scientist in UBS’s Investment Bank AI Delivery Hub, you will translate strategic AI opportunities into secure, scalable solutions with measurable business impact. You will partner with cross-functional stakeholders to drive revenue enablement, risk reduction, and productivity gains, while delivering reusable AI products using LLMs, RAG, and rules-based analytics. You’ll guide projects through discovery to deployment, ensuring secure, testable, and maintainable outcomes. This role offers the chance to shape AI capabilities at scale within a collaborative, global team.

Pay / Benefits

• flexible working options when possible
• inclusive culture
• disability inclusion and accommodation in recruitment
• opportunities to grow and develop
• collaborative, global team

Responsibilities

• Partner with stakeholders to identify high-value opportunities linked to business outcomes
• Build and deploy AI solutions across the Investment Bank
• Develop reusable AI components using LLMs, agentic systems, ML, and rules-based analytics
• Contribute across the delivery lifecycle from discovery to adoption
• Integrate solutions with APIs, enterprise systems, and data platforms
• Ensure security, reliability, and maintainability through testing, monitoring, and documentation
• Use experimentation and quantitative analysis to inform design decisions and demonstrate impact

Key requirements

• Hands-on experience building/implementing AI or ML solutions in professional, academic, or internship settings
• Knowledge of NLP, RAG, semantic search, and large language models
• Understanding of model evaluation, testing, monitoring, and responsible AI practices
• Strong Python skills; productionising AI/ML with versioning, automated testing, CI/CD, deployment, monitoring
• Experience with structured and unstructured data across databases, APIs, and data environments
• Analytical and problem-solving skills with statistical analysis and data exploration
• Effective communication and cross-functional collaboration
• Bachelor or Master in CS, Engineering, Math, Physics, Quantitative Finance, Data Science, or related field, or equivalent experience
• Experience in financial markets, pricing, risk, or analytics is advantageous

• collaboration
• clear communication
• problem-solving
• NLP
• RAG
• semantic search

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