The opportunity
🚀 We’re on a mission to make money work for everyone.
What you'll do
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
What they're looking for
- 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
