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Monzo

Staff Data Scientist

🕐 Hoje📍 Barcelona; Cardiff, London or Remote (UK); London🌍 Remoto💰 £124,400 - £165,000 GBP

About Monzo

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 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.

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 ❤️

Role Overview

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.

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.
  • Ability to shape strategy across a large product or business domain and influence senior leaders through clear, independent judgement.
  • Deep expertise across several Data Science disciplines and ability to set the technical direction for work involving significant complexity, uncertainty or risk.
  • Ability to create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action.
  • Strong communication skills to convey complex ideas, assumptions and risks with clarity, maintaining a high bar for analytical quality, governance and reproducibility.
  • Highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues.

Interview Process

  • Recruiter Call
  • Initial Call
  • Technical assessment
  • Final Interviews: Business Fit/Collaboration Case Study, Technical Interview.

Benefits

  • Salary: £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits.
  • Relocation assistance to the UK or Spain.
  • Visa sponsorship available.
  • Flexible working hours.
  • Learning budget of £1,000 a year for books, training courses and conferences.
  • Opportunity for part-time work to help meet other commitments or strike a great work-life balance.

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