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Senior Data Scientist | Cardiff, UK

Monzo
Cardiff
1 week ago
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We're on a mission to make money work for everyone.

We're waving goodbye to the complicated and confusing ways of traditional banking.

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers!

We're not about selling products - we want to solve problems and change lives through Monzo.

Hear from our UK team about what it's like working at Monzo:

  • London | UK remote | £80,000 to £95,000 + Stock Options + Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to supercharge our user engagement in 2025 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We're growing extremely fast and have over 11 million customers in the UK. We've built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster.

We have a strong culture of data-driven decision making across the whole company. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and analyses.

How we hire:

We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!

What you'll be working on:

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into one product squad alongside engineers, designers, marketers, product managers, etc.

Your day-to-day:

  • Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy.
  • Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do.
  • Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability.
  • Liaise with engineers to ensure we collect the right data to produce relevant business insights.

You should apply if:

  • You're impact driven and eager to have a real positive impact on the company, product, users, and your colleagues.
  • You're commercially minded and can put numbers into business perspective.
  • You're comfortable getting hands-on as well as thinking strategically.
  • You have a self-starter mindset; proactively identifying issues and opportunities and tackling them.
  • You're a team player whom colleagues can rely on.
  • You have solid grounding in SQL and preferably Python.
  • You have experience conducting large-scale A/B experiments.

The Interview Process:

Our interview process involves four main stages:

  • Recruiter Call
  • Initial Call
  • Technical Interview
  • Final Interview including a case study and collaboration interview

Our average process takes around 2-3 weeks but we will always work around your availability.

If you have any questions or want to discuss reasonable adjustments, please contact us at .

What's in it for you:

  • £80,000 to £95,000 + Stock Options + Benefits
  • Relocation support to the UK
  • Visa sponsorship available
  • Flexible working arrangements within the UK, with occasional meetings in London
  • Learning budget of £1,000 annually for books, courses, and conferences
  • Part-time options available to support work-life balance

#LI-NB2 #LI-Remote

Equal opportunities for everyone:

Diversity and inclusion are priorities for us. We foster an inclusive environment and are committed to equal opportunity employment. Read more in our diversity reports and gender pay gap report.

If you have a preferred name, please use it when applying. We do not require full or birth names at the application stage.


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