About our Data Science Teams:
Monzo is looking for a Lead Data Scientist to help build the bank of the future and supercharge user engagement in 2026, contributing to a bank that customers truly love. Monzo is building a fair, transparent, and delightful bank, growing rapidly with over 11 million customers in the UK. Over 80% of its growth comes from word-of-mouth and referrals.
The company fosters a strong culture of data-driven decision making, with powerful, real-time analytics and empowerment across the business. All data is centralized and easy to use, with 90% of day-to-day data-driven decisions covered by self-serve analytics through Looker, allowing data scientists to focus on high-impact business questions and analyses.
How we hire
Monzo is expanding and hiring for multiple roles across its Data Science teams, including areas like Borrowing, Growth, Payments, Fincrime, Wealth, or Core. They seek talented individuals with versatile skill sets. Teams are allocated after the interview process, aiming to match skills and aspirations with the most suitable role. Candidates will meet team members from across the Data Science collectives during the process.
What you’ll be working on:
- Lead the data strategy and continuously evolve Monzo to make money management magically simple for customers.
- Develop and execute best practices for experimentation, enabling data-informed decisions.
- Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
- Work closely with leaders in product, engineering, design, and research to build and iterate on product ideas.
You should apply if:
- You enjoy working with cross-functional, fast-moving teams.
- You are able to think strategically about commercial products and how data-driven decisions can unlock more value for customers.
- You are excited about mentoring other data scientists and analytics engineers.
- You are excited by experimentation and utilizing new data techniques to solve challenging problems.
- You want to understand the nuances of Monzo’s data and are excited about laying the key foundational knowledge for new products and features.
- You are opinionated about how to measure success and are willing to challenge the status quo.
The interview process:
The interview process includes:
- Recruiter Call
- Initial Call
- Technical assessment
- Final Interviews:
- Business Fit/Collaboration
- Case Study
- Technical Interview
The average process takes around 2-3 weeks, with flexibility for candidate availability. Candidates will have the opportunity to speak to the recruitment team at various points.