At a Glance
- Tasks: Build AI-driven features like chatbots and personal assistants that impact millions.
- Company: Join Revolut, a fast-growing fintech revolutionising how people manage their money.
- Benefits: Competitive salary, remote work options, and a vibrant company culture.
- Other info: Collaborative environment with opportunities for career growth and development.
- Why this job: Be at the forefront of AI innovation and shape the future of customer interaction.
- Qualifications: Experience in deep learning and a STEM degree required.
The predicted salary is between 60000 - 80000 £ per year.
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.
About the role
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
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 productionise 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
- 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
Data Scientist (NLP Deep Learning) employer: We Love Alfa
Revolut is an exceptional employer that prioritises employee experience and growth, having been certified as a Great Place to Work. With a dynamic work culture that fosters innovation and collaboration, employees are empowered to build transformative AI-driven solutions that impact millions globally. Located in a fast-paced environment, Revolut offers unique opportunities for professional development and the chance to work with cutting-edge technologies in the field of deep learning.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (NLP Deep Learning)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Revolut. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those related to NLP. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of deep learning concepts. Practice common interview questions and be ready to solve problems on the spot. We believe in being well-prepared!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Revolut team. Let’s make it happen!
We think you need these skills to ace Data Scientist (NLP Deep Learning)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role at Revolut. Highlight your experience with deep learning and NLP, and don’t forget to showcase any relevant projects or achievements that demonstrate your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we want to get to know you!
Showcase Your Technical Skills:Since this role requires strong technical expertise, make sure to list your proficiency in Python, SQL, and any other programming languages you know. If you've worked with LLMs or deep learning frameworks, definitely mention those too!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at We Love Alfa
✨Know Your Stuff
Make sure you brush up on your deep learning and NLP knowledge. Be ready to discuss your experience with large language models and how you've applied them in real-world scenarios. Prepare examples of projects where you've built AI-driven features, as this will show your practical skills.
✨Showcase Your Collaboration Skills
Revolut values teamwork, so be prepared to talk about how you've worked with cross-functional teams in the past. Think of specific instances where you collaborated with Product Owners or Engineers to solve complex problems. Highlight your communication skills and how they helped achieve project goals.
✨Think Big Picture
During the interview, demonstrate your ability to see the bigger picture. Discuss how you approach diagnosing problems and turning research into scalable solutions. This will show that you not only understand the technical aspects but also how they fit into the overall mission of improving customer experience.
✨Prepare Questions
Have a few thoughtful questions ready to ask your interviewers. This could be about Revolut's future AI initiatives or how the Data Science team collaborates with other departments. Asking insightful questions shows your genuine interest in the role and the company, making you stand out as a candidate.
