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About the Role
We are looking for a Staff Data Scientist to help build the bank of the future. This senior individual contributor role requires deep technical expertise, strong commercial judgment, and the ability to apply both to Monzo’s most important and complex challenges. At Monzo, we are building a bank that is fair, transparent, and a delight to use, with over 11 million customers in the UK.
Responsibilities
- 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.
Requirements
- Exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes.
- Experience shaping strategy across a large product or business domain and influencing senior leaders through clear, independent judgement.
- Deep expertise across several Data Science disciplines and ability to set technical direction for work involving significant complexity, uncertainty or risk.
- Proven ability to create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action.
- Ability to communicate complex ideas, assumptions and risks with clarity, and maintain a consistently high bar for analytical quality, governance and reproducibility.
- Credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues.
Skills
- SQL
- Python
Location
- London
- Barcelona
- UK remote
Work Type
- Full-time
- Flexible working hours
- Part-time
Experience Level
- Senior
- Staff
Salary/Compensations
- £124,400 - £165,000
- Incentive Awards tied to performance
Benefits
- Relocation assistance to the UK or Spain
- Visa sponsorship
- Learning budget of £1,000 a year for books, training courses and conferences
About the Company
- We’re on a mission to make money work for everyone.
- We are waving goodbye to the complicated and confusing ways of traditional banking.
- Our product offering has grown a lot in the last 10 years in the UK.
- We offer personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK.
- Our UK customers can also save, invest and combine their pensions with us.
- We have a long history of creating magical moments for our customers with our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service.
- We’re not about selling products - we want to solve problems and change lives through Monzo.
- We have a strong culture of data-driven decision making across the whole company.
- We are 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.
- We are excited to be expanding and are hiring across our Data Science teams.
- We aim to match your skills and aspirations with the most suitable role.
- Join us and be part of shaping our future!
Equal Opportunity
- 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.
- 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.