[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) # Staff Data Scientist AI Summary Monzo is hiring a Staff Data Scientist to lead high-impact, business-critical data science initiatives across banking domains such as growth, borrowing, payments, financial crime, wealth, and core products. The role combines hands-on analytical work with strategic leadership, including experimentation, causal inference, forecasting, optimisation, measurement design, and data-product stewardship. The successful candidate will partner with senior leaders and multidisciplinary teams to turn ambiguous commercial, customer, operational, and regulatory problems into measurable outcomes. This senior individual-contributor position also requires setting technical standards, improving governance and reproducibility, and mentoring data scientists and analytics engineers.[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 124,400–165k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentPart TimeExperienceSeniorPublished3 Nov 2026Apply before3 Dec 2026Listing views33Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. 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 or Barcelona | UK remote | 💰 £124,400 – 165,000 + Incentive Awards tied to your performance + [Benefits](https://monzo.com/careers/) | [Technology](https://monzo.com/blog/technology) — [Data](https://monzo.com/blog/data) We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges. 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 headspace to focus on more impactful business questions and analyses. As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards. ### Our Data Science team ⭐ We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. 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! ### 🔑You’ll play a key role by… * Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work * Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs * Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes * Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster * Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks * Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions * Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them * Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work * Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge * Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output ### 🤩 We’d love to hear from you if… * You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes * You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement * You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk * You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action * You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility * You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues 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. You will have the chance to speak to our recruitment team at various points during your process. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. [You can read them here.](https://monzo.com/blog/the-ultimate-guide-on-using-ai-to-ace-an-interview-at-monzo) For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters – [Data Hiring at Monzo](https://monzo.com/blog/2022/03/21/data-hiring-at-monzo). ### What’s in it for you: 💰 £124,400 – £165,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍 This role can be based in our London or Barcelona offices, but we’re also 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](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-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/158719-staff-data-scientist.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. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a staff-level role requiring deep technical breadth alongside independent judgement on ambiguous, cross-functional problems with material business and regulatory consequences. Success depends on influencing senior stakeholders while maintaining hands-on analytical credibility and high standards for governance. ## Salary analysis Estimated compensation compared with the broader UK market for similar roles. Estimated job median (per year)Market rate£144,700UK market range (per year)£120k–£180k0£198.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base compensation range of £124,400–£165,000. The posting does not explicitly state the cadence, so yearly pay is inferred from the seniority, UK location, and magnitude of the stated range. A reasonable estimated UK annual market range for a Staff Data Scientist is £120,000–£180,000, excluding incentives and benefits. ## 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)[Data strategy](https://jobicy.com/jobs?search_keywords=Data%20strategy.md)[Experiment design](https://jobicy.com/jobs?search_keywords=Experiment%20design.md)[Causal inference](https://jobicy.com/jobs?search_keywords=Causal%20inference.md)[Forecasting](https://jobicy.com/jobs?search_keywords=Forecasting.md)[Optimization](https://jobicy.com/jobs?search_keywords=Optimization.md)[Decision science](https://jobicy.com/jobs?search_keywords=Decision%20science.md)[Product analytics](https://jobicy.com/jobs?search_keywords=Product%20analytics.md)[Statistical modeling](https://jobicy.com/jobs?search_keywords=Statistical%20modeling.md)[Data governance](https://jobicy.com/jobs?search_keywords=Data%20governance.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md)[Mentoring](https://jobicy.com/jobs?search_keywords=Mentoring.md) Sample interview questionsDescribe a complex data science problem you led when the initial problem definition was ambiguous.I would explain how I aligned stakeholders around the decision to be made, translated it into measurable outcomes and hypotheses, identified data limitations and dependencies, and delivered an analysis or model that changed a business decision. I would also quantify the impact and describe how I documented assumptions and risks. How would you design a measurement strategy for a new banking product feature? I would begin with the customer and commercial objectives, develop a metric map linking feature adoption to customer and business outcomes, and define guardrail metrics for risk, fairness, and operational impact. I would then select an appropriate experiment or quasi-experimental design, specify segmentation and power considerations, and establish monitoring before launch. When would you use causal inference rather than a standard predictive model? I would use causal inference when the key question concerns the effect of an intervention or policy, such as whether a feature, communication, or credit decision changes customer behaviour. Predictive models estimate associations or future outcomes, whereas causal methods are needed to support decisions about what will happen if we take a particular action. How do you maintain analytical rigour while operating at a fast pace? I prioritise work by decision risk and reversibility, using lightweight exploratory analysis for low-risk questions and stronger experimental or causal designs for consequential decisions. I make assumptions explicit, automate reproducible workflows, peer-review critical work, and communicate uncertainty so stakeholders can move quickly without overstating confidence. How have you raised the capability of other data scientists without becoming a bottleneck? I create reusable templates, standards, and examples for common analyses, then use reviews and project coaching to reinforce them in context. I focus on explaining decision principles rather than prescribing every implementation detail, delegate meaningful ownership, and establish forums where practitioners can share methods and learn from one another. Next step ## Apply now. 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