Senior Data Scientist

<div class="content-intro"><p><strong><em>🚀 We’re on a mission to make money work for everyone.</em></strong></p> <p>We’re waving goodbye to the complicated and confusing ways of traditional banking.</p> <p>After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as&nbsp;<a href="https://monzo.com/current-account/personal&quot;&gt;personal&lt;/a> and <a href="https://monzo.com/business-banking&quot;&gt;business&lt;/a> bank accounts, we offer <a href="https://monzo.com/current-account/joint-account&quot;&gt;joint accounts</a>, <a href="https://monzo.com/current-account/16-17&quot;&gt;accounts for 16-17 year olds</a>, a <a href="https://monzo.com/current-account/under-16s&quot;&gt;free kids account</a> and <a href="https://monzo.com/flex&quot;&gt;credit cards</a> in the UK, with more exciting things to come beyond. Our UK customers can also <a href="https://monzo.com/savings&quot;&gt;save&lt;/a>, <a href="https://monzo.com/investments&quot;&gt;invest </a>and&nbsp;<a href="https://monzo.com/pensions&quot;&gt;combine their pensions</a> with us.&nbsp;</p> <p>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!</p> <p>We’re not about selling products - we want to solve problems and change lives through Monzo ❤️</p> <hr> <p>&nbsp;</p></div><h4>📍London | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance +<a href="https://monzo.com/careers/#benefits"> Benefits</a> | <a href="https://www.youtube.com/watch?v=U62l09nB0M4&quot;&gt;Hear from the team</a></h4> <h4><strong>About our</strong><strong> Data Science</strong><strong> Team:</strong></h4> <p><span style="font-weight: 400;">We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.</span></p> <p><span style="font-weight: 400;">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.</span></p> <p><em><span style="font-weight: 400;">Enable Monzo to Make Better Decisions, Faster</span></em></p> <p><span style="font-weight: 400;">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.</span></p> <p><span style="font-weight: 400;"><strong>How we hire</strong></span></p> <p><span style="font-weight: 400;">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!</span></p> <h4><strong>What you’ll be working on</strong><strong>&nbsp;</strong></h4> <p><span style="font-weight: 400;">We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.</span></p> <h4><strong>Your day-to-day&nbsp;&nbsp;&nbsp;</strong></h4> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbe