At a Glance
- Tasks: Work on real projects, solve complex challenges, and build analytical tools.
- Company: Join a leading fintech company with a dynamic and innovative culture.
- Benefits: Competitive salary, flexible work options, and exciting team events.
- Other info: International applicants welcome; visa support and relocation assistance provided.
- Why this job: Launch your career in fintech and make an impact from day one.
- Qualifications: 2:1 degree in relevant fields and strong Python and SQL skills.
The predicted salary is between 151200 - 151200 £ 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 do this by delivering 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.
Join us from anywhere
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)
Roles are filled on a rolling basis, so apply early. You can specify your preferred intake during the recruitment process.
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 LookML) 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
Get what you need to succeed
- 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
Graduate Programme 2027: Data Scientist and Analyst employer: Revolut Ltd
Revolut is an exceptional employer for ambitious graduates looking to kickstart their careers in fintech. With a dynamic work culture that fosters innovation and collaboration, employees benefit from structured training, hands-on experience, and the opportunity for rapid career advancement. The Graduate Programme offers a unique chance to work on impactful projects while enjoying flexibility in work arrangements and comprehensive support for relocation to vibrant tech hubs across Europe and the UAE.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Programme 2027: Data Scientist and Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn, and don’t be shy about asking for insights into the company culture or the role. A friendly chat can sometimes lead to referrals, which can give you a leg up in the application process.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We recommend setting up mock interviews with friends or using online platforms to get comfortable with articulating your thought process and problem-solving skills.
✨Tip Number 3
Showcase your projects! Whether it’s a personal project or something from your studies, having tangible examples of your work can really impress interviewers. Make sure to explain your thought process and the impact of your solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who are ready to make an impact, so get your application in early!
We think you need these skills to ace Graduate Programme 2027: Data Scientist and Analyst
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science and analytics. Share any relevant projects or experiences that highlight your skills in Python, SQL, or maths. We want to know what drives you!
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the role. Highlight your analytical skills and problem-solving abilities, and don’t forget to mention any experience with machine learning or data infrastructure. We love seeing how you fit into our team!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible and avoid jargon. We appreciate straightforward communication, so make it easy for us to see your qualifications and potential.
Apply Early Through Our Website:Don’t wait until the last minute! Roles are filled on a rolling basis, so apply early through our website. This gives you the best chance to stand out and secure your spot in our Graduate Programme.
How to prepare for a job interview at Revolut Ltd
✨Know Your Data
Brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework. Having specific examples of how you’ve solved problems with data will show your analytical mindset.
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Scientist and Analyst at Revolut. Think about how your skills align with their needs, especially in building analytical tools and improving user experiences. This will help you articulate why you're a great fit.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Practice explaining your thought process clearly and logically. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your problem-solving skills.
✨Show Your Curiosity
Revolut values curiosity and a proactive mindset. Prepare questions that show your interest in the company and the role. Ask about the types of projects you might work on or how the team collaborates across different departments. This will highlight your eagerness to learn and contribute.
