Data Scientist; NLP Deep Learning Engineer
UAE/Dubai
Listed on 2026-09-16
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
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 75+ 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.
Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.
We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.
You’ll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.
Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let’s get in touch.
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
- 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 product ionise research
- Excellent communication and collaboration skills to partner with Product Owners and business heads
- Solid 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
- Krakow: PLN
20,300 - PLN
45,800 gross monthly* - Poland: PLN
20,300 - PLN
45,800 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
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.
- Financial benefits that show we value your work
- Flexibility to work from home, the office, or abroad
- A Revolut Metal subscription loaded with perks
- Exciting events year-round so you can get to know your team
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