ABOUT THE ROLE:
We approach Data Science at Revolut the same way that we approach everything else. We take complex problems and create extraordinary solutions that our customers love. Our Data Analysts aren’t kept in the background, doomed to never see the impact of their work. They’re some of our best and brightest problem solvers, deployed to the front-lines to work in Product teams and deliver rock star solutions.
ABOUT THE REV-CELERATOR GRADUATE PROGRAMME:
Are you a recent graduate eager to shape the future of finance? Ready to make a meaningful impact and bring innovative ideas to life? Well, the Rev-celerator Graduate Data Analyst programme is designed just for you.
First, kick off with a few weeks of bootcamp, where we’ll prepare you to jump into work at Revolut with workshops, lectures, and practical exercises to start developing your skills. After successful preparation, we’ll launch you into on-the-job training where you’ll be face-to-face with tough challenges, problem-solving, and tasks to own.
We’re looking for a Data Analyst who doesn’t believe there’s a data task that can be too hard. From digging into our complex databases, looking for the root cause of a problem to designing their own solutions and writing their own code to implement them. In this process, they never stop learning, picking up new skills, and delivering value ✨
Unlock your potential, explore new horizons, and step into the future of finance.
WHAT YOU’LL BE DOING:
Participating in a specialist bootcamp, gaining visibility over multiple department projects across Revolut
Working to build analytical tools and machine learning models, such as dashboards and ETLs, for upcoming product launches
Helping increase visibility in sign-up processes and operational funnels
Maintaining and enhancing existing data infrastructure, including ETLs and LookML code, to ensure data accessibility and usability
Collaborating with stakeholders from Operations, Growth, and Product teams to refine features and uncover new insights
Supporting business needs with ad-hoc data analysis, including interest rate sensitivity, salary incentive profitability, and payments conversion rates
Learning from industry leaders and participating in weekly meetings to stay aligned with team priorities
Managing project tasks, tracking progress, and communicating key outcomes
Sharing updates about your work with our diverse global teams
Attending regular performance reviews to receive feedback and guide your development
WHAT YOU’LL NEED:
A 2:1 predicted or achieved grade (or above)
To have graduated university in 2024, 2025, or 2026
University studies in computer science, maths, physics, or a similar field
Great skills with Python and SQL
Evidence of solid mathematical and statistics knowledge
A portfolio of multiple coding side projects or open source contributions
A proactive attitude
A love for problem-solving
Fluency in English
To be a quick learner
An ambitious and results-driven personality
Excellent communication and organisational skills
To feel comfortable working as part of a diverse team in a dynamic environment
Full-time availability for the programme starting in September 2026
