Data Scientist
Revolut
Job Overview
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Job Description
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 70+ 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 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And 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
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.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice.
Key skills/competency
- Python
- SQL
- Production Frameworks
- Probability and Statistics
- Algorithm Development
- Data-driven Solutions
- Product Performance Enhancement
- Scalable Data Products
- Cross-functional Collaboration
- Strategic Problem Diagnosis
How to Get Hired at Revolut
- Research Revolut's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight relevant data science, Python, SQL, and problem-solving skills for Revolut.
- Showcase impactful projects: Emphasize how your data science work enhanced product performance and drove business growth.
- Prepare for technical interviews: Sharpen your knowledge in algorithms, statistics, probability, and SQL for Revolut's assessments.
- Demonstrate collaboration: Be ready to discuss experience partnering with product owners and engineers on complex data challenges at Revolut.
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