Data Scientist

• Posted 1 day ago • Updated 12 hours ago
Full Time
On-site
USD $105,000.00 - 130,000.00 per year
Fitment

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Job Details

Skills

  • Decision-making
  • Business Process
  • Marketing
  • Sales
  • Documentation
  • Recruiting
  • Advanced Analytics
  • Management
  • Wealth Management
  • Computer Science
  • Data Science
  • Statistics
  • Finance
  • Natural Language Processing
  • Deep Learning
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Clustering
  • Optimization
  • Programming Languages
  • Python
  • R
  • SQL
  • Database
  • Analytical Skill
  • PostgreSQL
  • EMC GreenPlum
  • Apache Hadoop
  • Tableau
  • Microsoft Power BI
  • Artificial Intelligence
  • Workflow
  • Asset Management
  • Investment Banking
  • Collaboration

Summary

Your role

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 build 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?

We are looking for a Data Scientist to:

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

using 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

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.

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 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.

Your expertise

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 network, Generative AI and agentic systems

knowledge of a variety of machine learning techniques such as classification, clustering, optimization

hands on experience of using programming languages (Python, R, SQL, etc.) to manipulate data, develop models and derive insights

hands on experience of database and analytical technologies in the industry, such as Postgres, Greenplum, Hadoop, etc.

experience with Tableau/Power BI will be an asset

you're curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment - validating outputs and aligning with policies, risk standards, and ethical use

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.

Your Career Comeback

We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.

Salary information

The indicative gross base salary range as a full-time equivalent role:

United States - New York - New York min USD 105000 - max USD 130000 /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. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24676285
  • Posted 1 day ago
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