Senior Data Scientist

Job Reference #
324854BR

Job Type
Full Time

Your role

• deliver high-quality data-driven analyses and strategies that address issues and provide key insights and illustrate key business trends and drivers through effective data interpretation and visualization
• combine A.I./Machine Learning methods to implement highly scalable solutions including models to solve problems in areas such as sales & marketing, next best recommendation, and Time Series forecasting
• translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
• deliver key business metrics in a scalable and repeatable manner and perform deep data analysis to identify the potential root cause for certain trends or abnormalities
• deep understanding of Gen AI (LLMs) and experience with AI development frameworks & tools such as vector DBs, Langchain, RAG architecture, prompt engineering to develop LLM use cases for banking
• design Machine Learning pipelines that include components related to data acquisition, exploratory analysis, feature engineering, predictive model design/build and interactive storytelling
• build everything from basic reports to advanced machine learning models and algos to drive bottom line transaction, revenue, new account and retention growth through client, banker and advisor behavioral analytics
• assist in developing scorecards, static and interactive dashboards, data visualizations, data extracts, and other “descriptive analytics” to tactically meet the needs of banking stakeholders
• closely partner with teams across sales, marketing, product, risk to provide relevant insights and ask the right questions
  
  

Your team
Are you a strategic thinker who is passionate about data and business strategy?

We are looking for someone like that to support our ability to make fact-based and scientifically developed decisions around risk and opportunities, which will help drive top and bottom-line growth.

Your expertise

• bachelor's degree or advanced degree in computer science, engineering or a related quantitative field like mathematics, statistics
• proven track record in various data driven strategic and tactical functions and knows how to help think about data driving impact to business around the customer lifecycle i.e., acquisition, activation, churn & reactivation
• experience as a data scientist/data engineer in which you have extracted meaningful insights from big data sets with little engineering support
• applied expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers use/interact with products
• predictive modeling experience is required with proven application in applying decision trees, regression analysis, neural networks, clustering and other data mining techniques, experience with time series, design of experiments and attribution rules
• demonstrated ability to collect and organize data, work effectively with complex cloud databases like Azure, Databricks etc.
• strong experience in SQL, Python/R, PySpark, SAS or other statistical software packages
• strong experience with data visualization tool such as Power BI
• self-starter with strong and creative problem-solving skills who can work effectively in cross-functional teams, having demonstrated strong partnerships
• need to be able to succinctly communicate ideas, recommendations orally and in writing to a wide range of audiences, as well as exceptional listening and presentation skills
  
  

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 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. 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.