MonzoData

Senior Data Scientist

BarcelonaFull-timeSeniorSalary: Not disclosed
Posted Jul 21, 2026Deadline: Keep Open
Job SnapshotActively hiring
LocationBarcelona
Job typeFull-time
SalaryNot disclosed
DeadlineKeep Open

Finjobsly Role Intelligence

Experience level
Senior
Work style
Hybrid
Visa sponsorship
Not specified
Salary
Not disclosed
Key skills
PythonSQLPaymentsData Science

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Company insights

69

Happiness score

69/100

Based on 30 verified employee signals

Monzo revenue reaches £1.7bn as annual profit rises 44%

For the year ended March 2026, total revenue rose 39% to £1.7bn and statutory pre-tax profit increased 44% to £87.3m.

May 2026From the webRTÉ News

Monzo unveils in-app mobile phone service

Monzo opened the waitlist for three eSIM-only monthly plans managed through its app, starting at £8 and offering annual loyalty discounts of up to 30%.

May 2026From the webThe Standard

Monzo officially launches banking services in Ireland

Monzo launched Irish personal and business current accounts plus savings products after securing a local banking licence; 100,000 consumers had joined its waitlist.

April 2026From the webRTÉ News

Diana Layfield succeeds TS Anil as Monzo CEO

Former Google and Standard Chartered executive Diana Layfield replaced TS Anil as chief executive in February 2026 after his nearly six-year tenure.

February 2026From the webReuters via MarketScreener

AI Generated Insights

Finjobsly Intelligence— Generated from the employer's job description

What you'll own

Own quantitative analysis and data mining to uncover user behavior, guide product teams on key metrics, run A/B experiments, and collaborate with engineers to ensure proper data collection.

What they're looking for

A self‑starter with strong SQL skills (Python preferred), experience designing large‑scale A/B tests, commercial mindset, and the ability to balance hands‑on work with strategic thinking.

Why this role matters

Your insights will shape product strategy, drive user engagement, and help quantify lifetime value, directly influencing Monzo’s growth and mission to make money work for everyone.

Best suited to

Impact‑driven, team‑oriented data scientists who thrive on turning data into business impact and enjoy collaborating across product, finance, and engineering teams.

Fintech requirements

Visa sponsorship: No
Work arrangement: hybrid

About this role

🚀 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 ❤️


 

📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 
Hybrid model: 3 days a week in the office

About Our Data Science Teams

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement 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 15 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. 

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 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 head space 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!

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 keep making sure 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 very importantly your colleagues as well 
  • You're commercially minded and can put numbers into business perspective 
  • You’re as comfortable getting hands-on as taking a step back and thinking strategically 
  • You have a self-starter mindset ; you proactively identify issues and opportunities and tackle them without being told to do so 
  • You're a team player whom your colleagues can rely on 
  • You have solid grounding in SQL and preferably Python 
  • You have experience in conducting large scale A/B experiments

The Interview Process

Our interview process involves three main stages:

1. Recruiter Call 
2. Initial Call
3. Technical Interview
4. 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.
You will have the chance to speak to our recruitment team at various points during your process.

What's In It For You

💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance  + benefits 

📍Barcelona, Spain

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of €1,200 a year for books, training courses and conferences

 

#LI-JS1


Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

More about this role

About company

Required skills

PythonSQLPaymentsData Science