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: Remote work, competitive salary, and a culture certified as a Great Place to Work.
- Other info: Collaborative environment with opportunities for career growth and impactful projects.
- Why this job: Shape the future of AI with cutting-edge technologies and innovative solutions.
- Qualifications: Experience in deep learning and a STEM degree required; strong Python skills a must.
The predicted salary is between 80000 - 98000 £ 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, two 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.
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 in City of London employer: Revolut
Revolut is an exceptional employer that prioritises employee experience and growth, having been certified as a Great Place to Work. With a dynamic remote work culture in the UK, employees benefit from collaboration with talented teams on cutting-edge AI projects, ample opportunities for professional development, and the chance to make a significant impact on millions of customers worldwide. Join us to be part of a mission-driven company that values innovation and empowers its people to redefine success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Revolut!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Revolut.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Revolut.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Revolut, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Revolut, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Revolut. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Revolut
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Revolut!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
