People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, we've helped 40+ million customers get more from their money. And we're not done yet.
As we continue our lightning-fast growth, two things are essential to continuing our success: our people and our culture. We've been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 10,000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.
We approach Data Science at Revolut the same way that we approach everything else — with class, logical thinking, and lots of style. Let’s break it down: we take the most complex problems and create tailor-made solutions for our customers 🚀
If you’re thinking the Data team is kept in some sort of a secret den, doomed to never see the impact of their work, don’t worry — that’s not how we do things. They’re some of our best and brightest problem-solvers, deployed to the front lines to work in product teams and deliver rockstar solutions.
We’re looking for a next-level Data Scientist to board our fintech rocket ship and shape the future of financial services apps. Phew! It’s a big task, but you won’t do it alone. You’ll be working with the toughest and most gifted professionals in Product, Design, Data Science, and Engineering on impactful projects that’ll make our company move forward ⏩
This role offers the opportunity to relocate to Poland, Portugal, or Spain. You'll receive support from Revolut throughout the entire process. Once you move, you'll have the flexibility to work remotely or in a hybrid model in our offices in Barcelona, Madrid, Porto, or Kraków.
Up for the challenge? Let's get in touch.
Building models for full Retail Credit lifecycle
Improving existing algorithms and building new Proofs of Concept
Delivering real impact to the product through rigorous data-driven solutions
Researching and then delivering PoCs into data products
Collaborating with Product Owners, Engineers, and Data Scientists to continually solve complex data problems
5+ years of production experience
Experience working in a data science team of a credit institution
A Bachelor's, Master's, or PhD in STEM (Mathematics, Computer Science, Engineering)
Excellent knowledge of data science tools, including Python, SQL, and production tools
A deep understanding of probability and statistics fundamentals
A big-picture mindset to correctly diagnose problems, produce research, and discover solutions
Excellent communication and collaboration skills to partner with Product Owners and business heads
Fluency in English
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.
Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application.
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