Lead Data Scientist

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London or Barcelona | UK remote | £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you’ll be working on: - Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day - Develop and execute best practices for experimentation enabling our team to make 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 decisions using data can unlock more value for our customers - You are excited about mentoring other data scientists and analytics engineers - You are excited by experimentation and utilising new data techniques to solve challenging problems - You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features - You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: - Recruiter Call - Initial Call - Technical assessment - Final Interviews - Business Fit/Collaboration - Case Study - Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability.