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Revolut is looking for Graduate Data Scientists and Analysts as part of their Graduate Program in Portugal. This role involves real projects, hands-on training, and collaboration with various teams to solve complex data-driven issues.
Candidates should possess strong skills in Python and SQL, alongside a relevant degree. Applicants must be available for full-time work, either starting early or late 2027, and can work in a hybrid model with in-office support.
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.
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.
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. Let’s shape what's next in finance.
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).