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Staff Data Scientist

Barcelona; Cardiff, London or Remote (UK); London

Live, first seen by us 31 days ago
Pay
Pay not listed
Work setting
Remote — work setting source
Listed location: Barcelona; Cardiff, London or Remote (UK); London
Read the full posting
Employment
Not stated

Before you apply

Work authorization
Sponsors visas

What you’ll work on

Full posting
  • Shape and lead data strategy for a large domain or collective

  • Identify and lead ambiguous, cross-team strategic problems

  • Establish measurement strategies and metric maps for teams

  • Set best practices for experimentation, causal inference and forecasting

  • Coach and mentor data scientists and analytics engineers

From the employer’s posting
Shape and lead the data strategy for a large domain or collective
Identify, frame and lead strategically important problems where the path is ambiguous
Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect
Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science
Coach and mentor data scientists and analytics engineers

What you’ll bring

All qualifications

Core experience

  • Exceptional track record leading complex, business-critical data science work
  • Deep expertise across several data science disciplines
  • Strong hands-on SQL and Python skills
  • Shaped strategy across a large product or business domain
Qualification wording
You have an exceptional track record of leading complex, business-critical Data Science work
You bring deep expertise across several Data Science disciplines
You remain a highly credible hands-on practitioner with SQL and Python
You have shaped strategy across a large product or business domain
Apply at Monzo

Posting record

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Status in our records
Live
First seen by us
Oct 5, 202631 days ago
Recorded sightings
38
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 31

Similar jobs usually come down between day 7 and day 56.

At Monzo, jobs usually come down by about day 34.

From 10,204 similar postings that came down, and 16 of Monzo’s. Coming down is not always a hire.

Monzo is hiring

13 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility - You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues The interview process:

Your next step

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Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

🚀 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 ❤️

 

📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + Benefits | Technology — Data

We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges.

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. 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 headspace to focus on more impactful business questions and analyses.

As a Staff Data Scientist, you’ll lead efforts on strategically important, business-critical problems. You’ll apply judgement in areas of organisational or technical complexity, steward initiatives end-to-end, and focus your hands-on contribution where it can create the greatest impact. You’ll be a trusted technical partner to senior leaders, raise the bar for Data Science across Monzo, and build capability in others through coaching, reusable approaches and clear standards.

Our Data Science team ⭐

We are excited to be expanding and are hiring across our Data Science teams. Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth or Core, we are looking for versatile people who can contribute across squads and collectives. 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!

🔑You’ll play a key role by...

  • Shape and lead the data strategy for a large domain or collective, connecting customer and commercial goals to a clear portfolio of high-impact Data Science work
  • Identify, frame and lead strategically important problems where the path is ambiguous, dependencies span teams, and decisions involve meaningful customer, commercial, regulatory or operational trade-offs
  • Partner with senior leaders across product, engineering, ML, design, research, risk and operations, bringing an independent technical perspective that influences strategy and turns it into measurable outcomes
  • Establish measurement strategies and metric maps that clarify how customer behaviour, product changes and business outcomes connect, enabling teams to test assumptions and make better decisions faster
  • Set and evolve best practices for experimentation, causal inference, forecasting, optimisation and decision science, choosing methods that are proportionate to the decision and its risks
  • Remain hands-on where your expertise is most valuable: exploring complex data, designing analyses and experiments, building models or prototypes, and resolving the hardest technical questions
  • Steward critical data products and initiatives end-to-end, ensuring they are robust, well-governed, clearly documented and adopted by the people who need them
  • Balance pace and analytical rigour, making pragmatic trade-offs while protecting the quality, reproducibility and interpretability of your work
  • Raise Data Science standards across Monzo through technical direction, proposals, reviews, reusable methods and thoughtful challenge
  • Coach and mentor data scientists and analytics engineers, using live projects and wider discipline initiatives to build sustainable capability beyond your own individual output

🤩 We’d love to hear from you if…

  • You have an exceptional track record of leading complex, business-critical Data Science work from ambiguous problem framing through to measurable outcomes
  • You have shaped strategy across a large product or business domain and can influence senior leaders through clear, independent judgement
  • You bring deep expertise across several Data Science disciplines and can set the technical direction for work involving significant complexity, uncertainty or risk
  • You repeatedly create clarity across organisational boundaries, resolve difficult dependencies and turn long-term strategy into decisive action
  • You communicate complex ideas, assumptions and risks with clarity, and hold a consistently high bar for analytical quality, governance and reproducibility
  • You remain a highly credible hands-on practitioner with SQL and Python, while raising standards and multiplying the impact of experienced colleagues

The interview process:

Our interview process involves:

  • Recruiter Call
  • Initial Call
  • Technical assessment
  • Final Interviews
    • Business Fit/Collaboration
    • Case Study
    • Technical 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.

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the hiring experience at Monzo, check out our blog post written by one of our Recruiters - Data Hiring at Monzo.

What’s in it for you:

💰 £124,400 - £165,000 + Incentive Awards tied to your performance + Benefits

✈️ We can help you relocate to the UK or Spain

✅ We can sponsor visas

📍 This role can be based in our London or Barcelona offices, but we’re also open to distributed working within the UK (with ad hoc meetings in London).

⏰ 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 £1,000 a year for books, training courses and conferences

➕ And much more - see our full list of benefits.

If you prefer to work part-time, we’ll make this happen whenever we can — whether this is to help you meet other commitments or strike a great work-life balance.

#LI-Remote

 

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 😊

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Location & working pattern

Barcelona; Cardiff, London or Remote (UK); London

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + Benefits | Technology — Data We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges.
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If you prefer to work part-time, we’ll make this happen whenever we can — whether this is to help you meet other commitments or strike a great work-life balance. #LI-Remote Equal opportunities for everyone
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