Data Scientist (NLP Deep Learning Engineer)

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 45+ 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. 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

We have 300 people within the Data Team at Revolut. They're a mix of Data Scientists, Data Analysts, Machine Learning Engineers, and Computer Vision Engineers - working across a wide variety of problems in the business. Our Data function does have centralised leadership, but you will be spending the majority of your time embedded into multidisciplinary product teams, comprised of Product Owners, Software Engineers, Data Analysts & Operations Managers working together to solve problems that impact millions of Revolut customers.

We start with deep data analysis to understand our customers, their objectives, and any issues they might have. We then use various data points and advanced machine learning algorithms to come up with the best possible option for each client. We experiment, iterate, and build fully automated solutions based on algorithms which self-improve with time.

We are looking for a talented Data Scientist to join our team and help us create the future of financial services apps. You will be working together with the strongest professionals in Product, Design, Data Science, and Engineering on the projects which have direct customer impact and drive our company forward.

What you’ll be doing

• Building an in-app personal assistant from scratch
• Working on user-focused features
• Delivering real impact to the product through rigorous data-driven solutions
• Collaborating with product owners, engineers, and data scientists to continually solve complex data problems

What you'll need

• Experience in Deep Learning within Natural Language Processing area and Large Language Models
• A Bachelor's degree in a STEM major (mathematics, computer science, engineering)
• Excellent knowledge of data science (python, SQL) and production tools
• A deep understanding of probability and statistics fundamentals
• Big picture thinking to correctly diagnose problems and productionising research
• Excellent communication and collaboration skills to partner with Product Owners and business heads

Nice to have

• A master's or PhD in a quantitative discipline
• Strong experience with additional programming languages, such as Java, Scala, C++
• Experience at a large tech company worth >$15B
• School/University Olympic medal competitions in physics, maths, economics or programming

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.

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