Lead Data Scientist at Monzo

✨ The Stack take on this Monzo job

• 🏢 Monzo has 51 jobs here, 28 with visa sponsorship see all
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask Monzo if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/lead-data-scientist-monzo

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "lead-data-scientist-monzo": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

About the role

Responsibilities:
- Lead Monzo's data strategy to evolve product offerings and simplify day-to-day money management for customers.
- Define and promote experimentation best practices (design, analysis, and interpretation) to enable data-informed product decisions.
- Set standards for data quality, analytics tooling and documentation across squads; drive knowledge sharing.
- Partner closely with product, engineering, design and research leaders to align analytics with business goals.
- Mentor and grow mid/senior data scientists; influence hiring, coaching and technical direction.
- Balance self-serve analytics enablement with delivery of high-impact, bespoke analyses and strategic projects.

Requirements:
- Proven experience leading data strategy and analytics in a product-driven environment.
- Strong experimentation and causal-inference skills; experience designing and analysing A/B tests at scale.
- Expert-level SQL and familiarity with Python/R and modern analytics tools (Looker or similar).
- Track record of cross-functional collaboration with product, engineering and design teams.
- Experience mentoring senior analysts/DS and setting team standards.
- Comfortable working in fast-growing fintech environments and influencing senior stakeholders.

Responsibilities

Lead the data strategy and evolve product offerings to simplify money management for customers. Collaborate with product, engineering, and research teams to set standards and drive data-informed decision-making.

Requirements

You should have experience working in cross-functional teams and a strategic mindset regarding commercial products. You must be passionate about mentoring data scientists and utilizing advanced data techniques to solve complex problems.

Key skills

• Data strategy — in 10 other listings on The Stack
• Experimentation — in 50 other listings on The Stack
• Data-driven decision making — in 43 other listings on The Stack
• Analytics — in 12 other listings on The Stack
• Mentoring — in 176 other listings on The Stack
• Product strategy — in 119 other listings on The Stack
• Cross-functional collaboration — in 113 other listings on The Stack
• Looker — in 44 other listings on The Stack
• Data techniques
• Business analysis

On The Stack (as of 2026-11-05)

• Monzo has 50 other listings on The Stack, 27 of them marked as offering visa sponsorship.
• 214 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 68 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Monzo

Is this Lead Data Scientist role still open?

It was posted on 2026-08-10. 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 United Kingdom. It is marked remote.

What skills does this role ask for?

The listing names: Data strategy, Experimentation, Data-driven decision making, Analytics, Mentoring, Product strategy, Cross-functional collaboration, Looker, Data techniques, Business analysis.