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
Deep Learning Engineers at Revolut are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation and data understanding solutions. You’ll work with the most advanced LLMs available out there, developing solutions that have a tangible impact on millions of Revolut customers worldwide.

As a Deep Learning Engineer, you’ll be embedded in dynamic, cross-functional teams with Product Owners, Software Engineers, Data Analysts, and Operations Managers. Together, you’ll solve complex problems and deliver automated, scalable solutions that continually improve. This role offers the opportunity to collaborate with top-tier professionals in Product, Design, Engineering, and AI to shape the future of Revolut’s AI-driven capabilities.

Our projects span the creation of personal assistants, intelligent chatbots, copilots, and more, all designed to elevate user experience and revolutionise customer interaction. We experiment, iterate, and build intelligent systems that improve over time through advanced algorithms and deep learning techniques.
What you’ll be doing

• Building AI-driven features from scratch like personal assistants, chatbots, copilots and more.
• Developing user-focused and backend features using deep learning
• Delivering impactful, scalable, data-driven AI solutions
• Collaborating with Product, Engineering, and Data teams to solve deep learning challenges
• Integrating cutting-edge AI technologies to drive innovation at Revolut

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

Compensation range

• Vilnius: €6,300 – €11,200 gross monthly*
• Lithuania: €6,300 – €11,200 gross monthly*
• Other locations: Compensation will be discussed during the interview process

*Final compensation will be determined based on the candidate’s qualifications, skills, and previous experience