Data

Build, analyse, innovate

Our data experts turn complexity into clarity, fuelling smarter decisions and elevating the customer experience.

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Meet the Data team

Data is the backbone of Revolut, enabling us to optimise operations and make a meaningful impact.

What
We harness data to power real-time systems, personalise experiences, combat financial crime, automate reporting, and drive performance.
How
By building scalable solutions that enable smarter decisions and lasting value across the company.
Who
Our agile and cross-functional Data team‌ is ‌split into Science and Analytics‌. Each bring bold ideas to life and push boundaries.

Data Science

Our Data Scientists own end-to-end pipelines and implement state-of-the-art solutions, leveraging Python, Airflow, GCP, and top Machine Learning and Deep Learning frameworks. They build scalable production systems and transform data into impact in a dynamic environment.

Work in data science

Our diverse Data Science specialisations are dedicated to solving complex challenges, driving innovation, and shaping the future with data-driven precision.

ML Engineering

Using various ML and CV modes to solve complex problems across FinCrime, Growth, CX, Retail, and Technology — this team drives data initiatives that power Revolut’s progression.

AI Engineering

Leveraging LLMs, RAG, and other cutting-edge technologies to build smarter chatbots, AI assistants, and automation platforms — this team pushes the boundaries of AI to redefine Revolut’s capabilities.

Credit and Risk

Building scoring models for credit products, developing methodologies and policies for managing market risk — this team ensures Revolut’s stability and growth in a dynamic market.

Data Analytics

Our Data Analysts drive key business decisions, collaborating with stakeholders to deliver actionable insights that fuel Revolut’s success. Using tools like SQL, Python, Looker, GCP, and Jira, they transform data into strategic recommendations that shape our products and services.

Work in Data Analytics

Our Data Analytics specialisation is structured into distinct focus areas, each designed to foster innovation and effectively supporting business growth and decision-making.

Product Data Analyst

Conducting root-cause analysis, generating insights, and creating data stories — this team dives deep into products, shaping Revolut’s features and customer experience.

Financial Data Analyst

Analysing financial products, automating reporting, and building predictive models — this team ensures financial accuracy and drives data-backed decision-making in Revolut’s financial operations.

Analytics Engineer

Providing clean, structured data and developing internal tools — this team builds and maintains data pipelines, empowering users to access insights and make informed decisions.

Join our team

Shape what's next
Lead the charge on innovative data initiatives that make real-world impact.
Work with top talent
Join a global team of experts who bring diverse perspectives to every challenge.
Grow your expertise
Advance your career in an environment that encourages continuous learning.
Thrive in our culture
Benefit from a flat, agile structure where innovation and speed drive success.