Description
We're on a mission to make money work for everyone.
As a Staff Data Scientist at Monzo, you'll lead efforts on strategically important, business-critical problems, applying judgement in areas of organisational or technical complexity.
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
- Shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement
- Deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk
- Repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action
- Communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility
- Highly credible hands-on practitioner with SQL and Python
What we offer:
- £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits
- Flexible working hours and trust to work enough hours to do your job well
- Learning budget of £1,000 a year for books, training courses and conferences
- Relocation assistance to the UK or Spain
- Visa sponsorship
Interview process:
- Recruiter Call
- Initial Call
- Technical assessment
- Final Interviews
- Business Fit/Collaboration
- Case Study
- Technical Interview