Senior Data Scientist

Monzo is recruiting a Senior Data Scientist, described in parts of the posting as a senior product data scientist, to help improve user engagement and the wider product. The work can be done from London or from elsewhere in the UK, with occasional in-person meetings in London. The posting gives a salary of £80,000 to £95,000 plus incentive awards and benefits, and says part-time working will be arranged where possible.

The posting describes a company with more than 11 million UK customers, where over 80 percent of expansion is driven by personal recommendations and referrals. Around 90 percent of day-to-day data decisions are supported by self-serve analytics in Looker, which frees data scientists to address higher-impact business questions. Data science openings span Borrowing, Growth, Payments, Financial Crime, Wealth and Core, and candidates are matched to a squad after interviews.

Each data scientist is placed inside a product squad working with engineers, designers, marketers and product managers. Day-to-day responsibilities include quantitative analysis, data mining and presenting data to show how customers use products, advising product teams on what to measure, and running or supporting A/B experiments. The role also involves working with the finance team on a shared view of customer lifetime value and product profitability, and working with engineers to make sure the right data is collected.

Applicants should be commercially minded and motivated to create real impact, comfortable with both hands-on analysis and strategic thinking. The posting asks for working knowledge of SQL, with Python preferred, and experience running large-scale A/B experiments. A self-starter who spots issues and opportunities without being prompted, and who is a reliable team member, is sought. The interview process has four stages: a recruiter call, an initial call, a technical interview, and a closing round featuring a case study and a collaboration exercise. It usually takes two to three weeks.