Graduate Programme 2027: Data Scientist and Analyst at Revolut

Revolut; Poland; Hybrid; PLN 110,000 - 131,000; Full time

Job summary

Revolut is launching a 12‑month Graduate Programme to launch your career in fintech data roles. You will start with an immersive boot camp, then join a dedicated product team to specialise in data science, analytics engineering, or ML engineering.

The programme offers real projects, mentorship, and a path to promotion during or after the year. You will collaborate with cross‑functional teams to uncover insights, build scalable analytics solutions, and support product launches.

Qualifications

• Strong Python and SQL skills.
• Fluency in English with excellent communication.
• Great problem-solving skills and a proactive mindset.

Responsibilities

• Participate in a hands-on bootcamp and work on real projects across multiple teams.
• Help build analytical tools and ML models to support product launches.
• Improve visibility in user signup flows and operational funnels.
• Maintain data infrastructure and LookML components for reliable data access.
• Collaborate with Operations, Growth and Product to refine features and uncover insights.
• Assist with ad-hoc analyses to guide decision-making.

Skills

Python

SQL

English

Education

2:1 in CS/Math/Physics or related field

Job description

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 80+ 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 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. You’ll begin with an immersive boot camp designed to give you hands‑on experience across the full data lifecycle. After that, you'll join a dedicated product team to specialise in your preferred data domain. Up to shape what's next in finance? Let’s get in touch.

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: PLN10,800 - PLN10,800 gross monthly
• Poland: PLN10,800 - PLN10,800 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.

Notice: This is a remote position based in Poland.