[Hiring] Staff Data Scientist @Monzo

Role Description

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.

As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll:

• 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.

Qualifications

• 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.

Requirements

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

Benefits

• £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).
• Flexible working hours and trust 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.
• If you prefer to work part-time, we’ll make this happen whenever we can.