About this role
Analytical professionals who combine deep technical skills with strong commercial judgement will thrive in this senior individual contributor role. Monzo is expanding its data science function across areas like borrowing, growth, payments, fincrime, wealth, and core to help build a transparent and fair digital bank used by over 11 million customers in the UK.
In this position, you will lead end-to-end initiatives on complex, business-critical problems where the path is often ambiguous. You will act as a trusted technical partner to senior leaders, shape data strategy for large domains, and keep a hands-on approach by writing code, building models, and resolving difficult technical hurdles.
The team relies on real-time analytics and self-serve tools like Looker for day-to-day decisions, leaving space for higher-impact work. You will also raise technical standards across the wider organization by coaching colleagues, establishing best practices in experimentation and forecasting, and mentoring data scientists.
What you will do
- Shape and lead the data strategy for a large domain by connecting commercial and customer goals to a portfolio of impactful data science work.
- Partner with senior leaders across product, engineering, machine learning, design, research, risk, and operations to influence strategy and deliver measurable outcomes.
- Establish measurement frameworks and metric maps that allow teams to test assumptions and make faster, better decisions.
- Set and evolve best practices for experimentation, causal inference, forecasting, optimisation, and decision science.
- Remain hands-on with exploring complex data, designing experiments, building models, and resolving difficult technical questions.
- Coach and mentor data scientists and analytics engineers to build sustainable capability across the discipline.
What you need
- Demonstrate an exceptional track record of leading complex, business-critical data science work from ambiguous problem framing to measurable outcomes.
- Show experience shaping strategy across a large product or business domain while influencing senior leaders through independent judgement.
- Bring deep expertise across several data science disciplines to set technical direction for initiatives involving significant risk or uncertainty.
- Communicate complex ideas, assumptions, and risks clearly while maintaining a consistently high bar for analytical quality and reproducibility.
- Remain a credible hands-on practitioner with SQL and Python while multiplying the impact of experienced colleagues.
Benefits
- Incentive Awards tied to your performance
- Relocation assistance to the UK or Spain
- Flexible working hours
- Learning budget of £1,000 a year for books, training courses and conferences
- Part-time working options
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
The role can be based in the London or Barcelona offices, with openness to distributed working within the UK requiring ad hoc meetings in London.
What is the salary range for this position?
The salary ranges from £124,400 to £165,000, alongside performance-tied incentive awards and benefits.
What does the interview process involve?
The process includes a recruiter call, an initial call, a technical assessment, final interviews covering business fit, collaboration case studies, and a technical interview. The average process takes around two to three weeks.