Data Scientist

Data Scientist (Core) About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 65+ million customers get more from their money every day. As we continue our lightning‑fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 10,000+ people working around the world, from our offices and remotely, to help us achieve our mission. We’re looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. 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 Data Scientists to help us shape the future of financial services. It’s a challenging task, but you’ll be part of a strong and supportive team. You’ll be collaborating with experienced professionals in Product, Design, Data Science, and Engineering on impactful projects that drive our company’s growth. Up to shape what’s next in finance? Let’s get in touch. 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 Bachelor’s/Master’s/PhD in STEM (Mathematics, Computer Science, Engineering) Solid knowledge of data science tools including Python, SQL and production frameworks Demonstrated knowledge of 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 Advanced degree in a quantitative discipline (e.g., Masters or PhD) Experience with additional programming languages such as Java, Scala or C++ Experience working in anti‑fraud functions Experience working at a large‑scale global tech company Participation in Olympiad competitions in Physics, Mathematics, Economics or Programming at school or university level Our Commitment to Diversity and Inclusion Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We’re not just doing this because it’s the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard‑working team. Important notice for candidates Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third‑party services or platforms for our recruitment. Always double‑check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain. We won’t ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology #J-18808-Ljbffr