{"id":574427,"url":"https://alion.io/job/monzo-data-science-manager","title":"Data Science Manager","company":{"id":5428,"name":"Monzo","domain":"monzo.com","url":"https://alion.io/company/monzo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":33,"ghost_share":0,"stale_share":0.879,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Cardiff, United Kingdom","London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":201000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-08-26T18:12:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-28T18:41:33Z","board_verified":true,"closed_at":null,"days_open":428,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":427},"description":"We’re on a mission to make money work for everyone.\nWe’re waving goodbye to the complicated and confusing ways of traditional banking.\nAfter 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. \nWith 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!\nWe’re not about selling products - we want to solve problems and change lives through Monzo\nLondon or UK remote | £100,000 to £130,000 + Incentive Awards tied to your performance +Benefits |Technology -Data \n⭐ About Data at Monzo\nData is at the heart of how we make decisions and build products at Monzo. Our Data teams bring together Data Science, Analytics Engineering, Data Analytics and Machine Learning, working closely with Product, Engineering and other teams across the business.\nOur Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy.\nAs a Data Science Manager, you'll lead a team of Data Scientists and other Data professionals within one of these areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders.\nYou'll play a key role by...\nYou’ll work closely with Product, Engineering and senior leaders to ensure data plays a central role in how we understand problems, make decisions and develop our products.\nYou'll lead and develop a team of talented Data Scientists, helping them do their best work while setting a high bar for analytical quality and impact. You'll provide strategic direction across complex problems, help teams identify where Data Science can have the greatest impact, and ensure insights translate into meaningful decisions and product changes.\nWe have a strong culture of data-driven decision making across Monzo. We're big believers in powerful, accessible analytics and empowering teams across the business to answer questions themselves. Around 90% of our day-to-day data-driven decisions are supported by self-serve analytics through Looker, giving our Data teams the space to focus on higher-impact problems.\nYour day-to-day\nLead, develop and grow a team of exceptional Data Scientists and other Data professionals.\nHire, coach and retain talented people while creating an environment where they can develop and do their best work.\nSet the Data Science direction for your area and identify where data can have the greatest customer and business impact.\nPartner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.\nBring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.\nEnsure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.\nHelp connect Data Science work to measurable customer, product and commercial outcomes.\nWork with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.\nContribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.\nWe'd love to hear from you if...\nWhat we're doing at Monzo excites you!\nYou have significant experience managing and developing Data Scientists.\nYou're a strong strategic data leader who uses data to influence decisions and direction.\nYou have experience partnering with senior and executive stakeholders across different functions and levels of seniority.\nYou're comfortable working autonomously in a fast-growing and evolving organisation.\nYou have a strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.\nYou're comfortable with tools and languages such as Python and SQL, and understand how to choose the right analytical approach for a problem.\nYou can build credibility with Product, Engineering and senior business leaders and influence without relying on authority.\nYou have strong product judgement and experience using Data Science to shape product development and strategy.\nYou know how to balance technical excellence with pragmatic decision-making and business impact.\nYou have experience helping Data Scientists develop their technical, product and leadership capabilities.\nThe interview process\nOur interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!\n30-minute recruiter call\n45-minute call with the hiring manager\n3 x 1-hour video calls with various team members\nOur average process takes around 3-4 weeks, but we'll always work around your availability. You'll have the chance to speak to our recruitment team at various points during the process.\nWhat's in it for you\nWe can help you relocate to the UK\nWe can sponsor visas\nThis role can be based in our London office, but we're open to distributed working within the UK, with ad hoc meetings in London.\nWe offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.\nLearning budget of £1,000 a year for books, training courses and conferences\nAnd much more, see our full list of benefits here\n\n#LI-LG1 #LI-Remote\nEqual opportunities for everyone\nDiversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.\nWe’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.\nIf you have a preferred name, please use it to apply. 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