Teams at Monzo Bank

Leads strategically important data science initiatives across complex business domains. Shapes data strategy, develops measurement frameworks, applies experimentation, causal inference, forecasting, optimization, and decision science, and partners with senior leaders to drive measurable outcomes. Remains hands-on with complex analyses, experiments, models, and prototypes while establishing technical standards, governance, reproducibility, and documentation. Coaches data scientists and analytics engineers and stewards critical data products end to end.

Analyze user behavior and product performance through quantitative analysis, data mining, reporting, and large-scale A/B experimentation. Partner with product, engineering, marketing, and finance teams to guide decision-making, measure key outcomes, understand customer lifetime value, assess product profitability, and improve data collection. The role is embedded within cross-functional product squads and contributes to product strategy and user engagement.

Lead product-focused data science work: run quantitative analyses and large-scale A/B tests, enable product teams with measurement, drive lifetime value analysis with finance, and partner with engineers to ensure correct data collection and actionable insights.