[All remote jobs](https://jobicy.com/jobs.md)[![Monzo logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/5b4c0ec3-221.jpg)](https://jobicy.com/company/monzo.md)[Monzo](https://jobicy.com/company/monzo.md) # Senior Data Scientist Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/monzo.md)ShareRemote from[UK](https://jobicy.com/job-region/uk.md)SalaryGBP 80k–95k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentPart TimeExperienceSeniorPublished24 Oct 2026Apply before23 Nov 2026Listing views35Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Monzo is hiring a Senior Product Data Scientist to improve product engagement and support data-informed decision-making across banking product squads. The role combines quantitative analysis, large-scale experimentation, user-behaviour analysis, and commercial measurement such as customer lifetime value and profitability. The successful candidate will work closely with engineers, product managers, designers, marketers, and finance partners while helping teams measure meaningful outcomes. Strong SQL, preferably Python, experimental design, strategic thinking, and proactive stakeholder partnership are central to the position. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 4/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-impact role requiring rigorous experimentation and the ability to translate complex behavioural and financial analyses into product strategy. The breadth of stakeholders and fast-growing banking context increase the analytical and communication demands. ## Salary analysis Estimated compensation compared with the broader UK market for similar roles. Estimated job median (per year)Market rate£87,500UK market range (per year)£75k–£105k0£115.50k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a salary range of £80,000–£95,000, inferred as annual based on the senior UK professional role and stated compensation scale. The estimated UK market range for comparable senior product data science roles is £75,000–£105,000 per year; this is an AI estimate rather than verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Experimental design](https://jobicy.com/jobs?search_keywords=Experimental%20design.md)[Quantitative analysis](https://jobicy.com/jobs?search_keywords=Quantitative%20analysis.md)[Data mining](https://jobicy.com/jobs?search_keywords=Data%20mining.md)[Customer lifetime value](https://jobicy.com/jobs?search_keywords=Customer%20lifetime%20value.md)[Profitability analysis](https://jobicy.com/jobs?search_keywords=Profitability%20analysis.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Looker](https://jobicy.com/jobs?search_keywords=Looker.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Product strategy](https://jobicy.com/jobs?search_keywords=Product%20strategy.md) Sample interview questionsHow would you design an A/B test for a new feature intended to increase user engagement?I would define the target user population, a clear treatment and control assignment, the primary engagement metric, guardrail metrics, and the minimum detectable effect before launch. I would calculate sample-size and duration requirements, validate instrumentation, monitor experiment health, and interpret results with both statistical and product context. How would you measure whether a product feature improves customer lifetime value? I would first define lifetime value consistently with finance, including revenue, costs, risk, and an appropriate observation window. I would compare eligible treated and control cohorts using experimental evidence where possible, adjust for exposure timing and confounders, and report incremental value alongside uncertainty and segment-level effects. Describe how you would work with engineers when data needed for a product decision is missing or unreliable. I would translate the decision into a measurement specification, identify the required events and properties, and agree ownership and acceptance criteria with engineering. After implementation, I would validate event completeness, accuracy, timeliness, and consistency against expected user flows before using the data for decisions. A statistically significant experiment result has only a very small practical impact. What would you recommend? I would distinguish statistical significance from business significance and quantify the expected customer and financial impact at scale. If the benefit does not justify implementation cost, risk, or opportunity cost, I would recommend not prioritising it or using the result to identify a more promising iteration. How do you communicate a complex analysis to non-technical product and finance stakeholders? I begin with the business question, decision required, and the headline conclusion, then explain the evidence, assumptions, limitations, and recommended action in plain language. I use concise visualisations and offer technical detail in an appendix so stakeholders can act confidently without losing analytical rigor. Opportunity details ## About this role. 🚀 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](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments)and [combine their pensions](https://monzo.com/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 | UK remote | 💰 £80,000 to £95,000 + Incentive Awards tied to your performance +[Benefits](https://monzo.com/careers/#benefits) | [Hear from the team](https://www.youtube.com/watch?v=U62l09nB0M4) ### About our Data Science Team: 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. 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 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. ### Your day-to-day * Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy * Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do * Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability * Liaise with engineers to keep making sure we collect the right data to produce relevant business insights ### You should apply if: What we’re doing here at Monzo excites you! * You’re impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well * You’re commercially minded and can put numbers into business perspective * You’re as comfortable getting hands-on as taking a step back and thinking strategically * You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so * You’re a team player whom your colleagues can rely on * You have solid grounding in SQL and preferably Python * You have experience in conducting large scale A/B experiments ### The Interview Process: Our interview process involves three main stages: * Recruiter Call * Initial Call * Technical Interview * Final Interview including a case study and collaboration interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. ### What’s in it for you: 💰 £80,000 to £95,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we’re open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits [here](https://monzo.com/careers/) If you prefer to work part-time, we’ll make this happen whenever we can – whether this is to help you meet other commitments or strike a great work-life balance. #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity 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](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025) We’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. If you have a preferred name, please use it to apply. We don’t need full or birth names at application stage 😊 Show more [Apply now >](https://jobicy.com/jobs/156846-senior-data-scientist-9.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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