Requirements

To be in your penultimate year of a bachelor’s or master’s degree in a relevant field (e.g., computer science, maths, or physics), graduating in 2027
Great Python and SQL skills
An interest or experience in analytics engineering, product analytics, data science, or ML engineering
A solid foundation in maths and statistics
A proactive, results-driven mindset and excellent problem-solving skills
To be a clear communicator who’s organised and open to pushing past limits
Comfortable in fast-paced, diverse team environments
Fluency in English
To be able to work full-time during summer 2026 and travel to a Revolut office in your country (this is a hybrid opportunity)

Nice-to-have

Taking part in a hands-on bootcamp and getting exposure to real projects across multiple teams
Helping build analytical tools and machine learning models (like dashboards and ETLs) to support new product launches
Improving visibility in user sign-up flows and operational funnels
Enhancing and maintaining data infrastructure (including ETLs and LookML) to make 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 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

Internship Programme open to international candidates with support for relocation
Structured training through workshops, lectures, and practical exercises
Opportunity to work on high-impact projects with exposure to various data-related fields
Professional development, feedback sessions, and networking opportunities