Senior Data Scientist

Job Reference #
299810BR

Job Type
Full Time

Your role
We seek a data-driven expert to support decision-making around risk and opportunities, driving growth through:

• delivering high-quality data analyses and insights to address issues and highlight key business trends;
• implementing scalable AI/Machine Learning solutions for sales, marketing, and forecasting;
• translating consumer behavior data into targeted strategies and communicating findings effectively;
• creating scalable business metrics and performing deep data analysis to identify root causes of trends;
• designing Machine Learning pipelines, including data acquisition and predictive modeling;
• developing scorecards, dashboards, data visualizations, and descriptive analytics for stakeholders;
• partnering with sales, marketing, product, and risk teams to provide insights and ask pertinent questions.
  
  

Your team
This role is within the GWM Global Banking Americas, based in New Jersey, with the first team member in Poland, leading local footprint establishment. You'll be working in the Banking Strategy team within UBS Bank USA primarily focused on delivering lending and deposits solutions for affluent clients. The team’s goal is to help the organization make fact-based and scientifically developed decisions around risk and opportunities, which help drive top and bottom-line growth. The team conducts strategic analysis to develop insights and generate recommendations to leverage impact of insights and ensure the strategy team is well positioned to grow and support the evolving needs.

Your expertise

• Bachelor’s or advanced degree in statistics, computer science, engineering, or related field;
• Data Scientist/Engineer experience extracting insights from big data;
• skilled in SQL, Python, R/PySpark, SAS, and data visualization tools like Tableau or Power BI;
• proven experience in data-driven strategic and tactical roles, impacting customer lifecycle metrics;
• quantitative analysis, data mining, data storytelling with presentation skills;
• proficiency in predictive modeling, decision trees, regression analysis, neural networks, and clustering;
• ability to manage and organize data from complex on prem and cloud databases;
• strong problem-solving skills and effective communication for diverse audiences.
  
  

About Us
UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..

We have a presence in all major financial centers in more than 50 countries.

How We Hire

We may request you to complete one or more assessments during the application process. Learn more

Join us
At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.

From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

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