Data Scientist

Overview

Your 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 the business process, 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 the business process 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

• Job Type: Full Time
• Job Reference #: 338676
• City:
  New York

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 globally based in the US, Poland and India.

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.

• 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 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 databases and analytical technologies (e.g., Postgres, Greenplum, Hadoop)
• experience with Tableau/Power BI is an asset

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.

The indicative gross base salary range for this full-time role in New York, NY is USD 72,500 – USD 93,000 per year. The final salary will be determined by role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits. For details, visit  We may provide additional variable compensation or awards at our sole discretion.

At UBS, we know that it's our people who drive our ongoing success. We’re dedicated to our craft, with 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. We use artificial intelligence (AI) to work smarter and more efficiently. Collaboration is at the heart of everything we do.

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. If you need reasonable accommodation/adjustments throughout our recruitment process, you can contact us.