Data Scientist

About the role

Are you passionate about directly impacting the largest wealth management business in the world by utilizing AI? Do you want to play a key role in building AI and machine learning models to generate meaningful and actionable insights, improve decision making, optimize business processes, and help address business problems? Are you excited about opportunities Generative AI can bring for Wealth Management?

• Work with stakeholders to identify opportunities to leverage AI and machine learning to support Wealth Management business
• Use Generative AI and agentic systems to improve business outcomes
• Analyze and explain financial data from various sources to provide actionable insights for Financial Advisors and their Clients
• Build and deploy machine learning and statistical methods to optimize business processes and help with targeted marketing and sales efforts for financial products
• Use machine learning and generative AI to understand, explain, and guide client investment decisions
• Produce relevant documentation related to model performance, model review, and model governance
• Independently manage projects

Your team

UBS has been named Best Wealth Management Firm for Use of AI in the US at the Financial Times’ PWM Wealth Tech Awards in 2026 for our work in STAAT. You will be part of the Data Science team in Smart Technologies and Advanced Analytics Team (STAAT), WMA in our New York location. Our Data Science team is at the heart of STAAT’s function to manage and support data science efforts across different business areas. Our team is globally based in the US, Poland, and India. At the heart of this project is the ability to systematically analyze and build AI and machine learning models with a goal for the Wealth Management business to make optimal decisions.

Requirements

• Master's degree or PhD in Computer Science, Data Science, Statistics, or related STEM fields
• Ideally 3+ years of relevant or equivalent experience; experience in the finance industry is a plus
• Knowledge of natural language processing, deep neural networks, Generative AI, and agentic systems
• Knowledge of a variety of machine learning techniques such as classification, clustering, optimization
• Hands-on experience using programming languages (Python, R, SQL, etc.) to manipulate data, develop models, and derive insights
• Hands-on experience with database and analytical technologies in the industry, such as Postgres, Greenplum, Hadoop, etc.
• Experience with Tableau/Power BI will be an asset
• Curiosity to explore how AI can improve how we build, deliver, and optimize workflows with sound judgment—validating outputs and aligning with policies, risk standards, and ethical use

Pay

The indicative gross base salary range for this full-time role in New York, New York is USD 105,000 – USD 130,000 per annum. The expected salary for this role will be determined by relevant factors which may include but are not limited to role-required experience, qualifications, education, location, and skill level.

Benefits

UBS offers a range of competitive benefits. For further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.