Data Scientist
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About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since ****, Revolut has been on a mission to deliver just that. Our powerhouse of products – including spending, saving, investing, exchanging, travelling, and more – help our 75+ million customers get more from their money every day.
About the Role
Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We're looking for a Data Scientist to lead analytics over our credit and lending features. You'll provide insight into how we can deliver more value to customers while collaborating with professionals in Product, Design, and Engineering on impactful projects that drive our company's growth.
What You'll Be Doing
Improving existing algorithms
Building new PoCs
Delivering data-driven solutions to enhance product performance
Researching and developing PoCs into scalable data products
Collaborating with Product Owners, Engineers, and Data Scientists to continually solve complex data problems
What You'll Need
Experience building and leading a data science team within a scaling organisation
Expertise in developing credit models
A bachelor's in a STEM subject (mathematics, computer science, engineering)
Knowledge of data science tools, including Python, SQL, and production frameworks
Familiarity with probability and statistics fundamentals
The ability to think strategically and diagnose problems accurately
Experience productionising research into scalable solutions
Excellent communication and collaboration skills to partner with Product Owners and senior stakeholders
Nice to Have
An advanced degree in a quantitative discipline (master's or PhD)
Experience with additional programming languages, such as Java, Scala, or C++
Familiarity with anti-fraud functions
Experience working at a large-scale global tech company
Participation in university Olympiad competitions in physics, mathematics, economics, or programming
Our Commitment to Diversity and Inclusion
We encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
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