# Data Scientist at Monzo

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design, run and analyse A/B experiments

- **Company:** Monzo (https://jobs.trythestack.co/companies/monzo)
- **Location:** London, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, A/B Testing, Quantitative Analysis, Data Mining, Data Presentation, Product Strategy, Lifetime Value Analysis, Looker, Commercial Awareness
- **Posted by employer:** 2026-05-08
- **Added to The Stack:** 2026-05-08
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/monzo/jobs/5636930 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-monzo

## About the role

Responsibilities:
- Design, run and analyse A/B experiments to measure product changes and drive decisions.
- Use SQL (and Python where needed) to mine product and behavioural data to answer business questions.
- Estimate and report user lifetime value, cohort behaviour and retention drivers.
- Build clear, self-serve analytics (Looker dashboards & ad-hoc queries) to empower product teams.
- Present findings to product, finance and senior stakeholders; translate insights into actionable recommendations.
- Partner with cross-functional squads (product, engineering, design, marketing) to prioritise experiments and metrics.

Requirements:
- Strong SQL skills; Python experience preferred for analysis and modelling.
- Practical experience designing and analysing large-scale A/B tests and causal inference.
- Solid quantitative analysis, data-cleaning and data-visualisation skills.
- Commercial awareness: ability to link metrics to business outcomes (revenue, retention, LTV).
- Clear communicator who can present technical results to non-technical stakeholders.
- Self-starter mindset with experience working in product-focused, fast-moving teams.

## Responsibilities

Apply quantitative analysis and data mining to understand user interaction and inform product strategy. Collaborate with product and finance teams to run A/B experiments and define user lifetime value.

## Requirements

Candidates should have a self-starter mindset with solid grounding in SQL and preferably Python. Experience in conducting large-scale A/B experiments and a commercially minded approach to data are required.

## FAQ

- **Is this Data Scientist role still open?** It was posted on 2026-05-08. Listings more than 30 days old may no longer be active, so check Monzo's site before applying.
- **Does Monzo offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Monzo's site.
- **Where is this role located?** The listing gives the location as London, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, A/B Testing, Quantitative Analysis, Data Mining, Data Presentation, Product Strategy, Lifetime Value Analysis, Looker, Commercial Awareness.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/monzo/jobs/5636930). The Stack does not take applications.
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