At a Glance
- Tasks: Join a hands-on bootcamp and tackle real projects in fintech.
- Company: Revolut, a leading fintech company focused on innovation and diversity.
- Benefits: Visa support, travel costs covered, competitive salary, and career growth opportunities.
- Other info: Open to international applicants willing to relocate to tech hubs.
- Why this job: Make an impact with data while learning from industry leaders.
- Qualifications: 2:1 degree in relevant fields, strong Python and SQL skills, and a proactive mindset.
The predicted salary is between 54000 - 66000 £ per year.
About the Graduate Programme
Our Graduate Programme is built for ambitious graduates who want to launch their careers in fintech.
Over this 12‑month programme, you’ll work on real projects, solve complex challenges, and make an impact from day one.
With structured training and hands‑on experience, you’ll grow your skills while exploring different areas of the business.
Top performers can be promoted during or after the programme, giving you the chance to continue your journey at Revolut.
About the role
Our Data Science team solves complex problems with smart, practical solutions.
Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut.
They deliver scalable solutions that move the business forward.
We’re looking for Graduate Data Scientists and Analysts who are analytical, curious, and ready to deliver impact with data.
Location and relocation
The Graduate Programme is open to international applicants willing to relocate to one of our tech hubs in Poland, Portugal, Spain, the UK, or the UAE.
We’ll support you with visa assistance, travel costs, and accommodation (conditions apply).
You’ll be expected to spend around 3 days per week in the office (where role and location allow).
- Key dates
- Applications: open from May 2026
- Recruitment process: July–December 2026
- Programme start: early 2027 (January–June) or late 2027 (July–December)
- What you’ll be doing
- Taking part in a hands‑on bootcamp and working on real projects across multiple teams
- Helping to build analytical tools and machine learning models (such as dashboards and ETLs) to support product launches
- Improving visibility in user sign‑up flows and operational funnels
- Enhancing and maintaining data infrastructure (including ETLs and Look ML) to keep data accessible and reliable
- Collaborating with teams across Operations, Growth, and Product to refine features and uncover insights
- Supporting decision‑making with ad‑hoc analysis (e. g., interest rate sensitivity, incentive profitability, conversion rates)
- Learning from industry leaders and staying aligned with team priorities through weekly meetings
- Managing tasks, tracking progress, and communicating key outcomes
- Sharing updates with our global teams
- Receiving regular feedback to guide your development
- What you’ll need
- A predicted or achieved 2:1 (or equivalent grade) in computer science, maths, physics, or a related field
- To have graduated in 2025, 2026, or 2027
- Impressive Python and SQL skills
- A solid foundation in maths and statistics
- An interest in analytics engineering, product analytics, data science, or ML engineering
- Great problem‑solving skills and a proactive mindset
- Fluency in English and excellent communication skills
- Full‑time availability from early or late 2027
- The ability to attend a Revolut office in your country of employment at least 3 days per week (this is a hybrid role)
Compensation range
- Krakow – PLN12 600 – PLN12 600 gross monthly
- Poland – PLN12 600 – PLN12 600 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.
- Diversity & Inclusion
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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Graduate Programme 2027: Data Scientist and Analyst in London employer: Revolut
Revolut is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the financial sector. With a strong emphasis on employee growth and development, we offer unique opportunities to shape regulatory practices while collaborating with industry leaders in a fast-paced environment. Join us in our London office to be part of a forward-thinking team that values compliance and drives the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Programme 2027: Data Scientist and Analyst in 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 Graduate Programme 2027: Data Scientist and Analyst 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 Graduate Programme 2027: Data Scientist and Analyst 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 Graduate Programme 2027: Data Scientist and Analyst in 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.
