Data Scientist

Data Scientist

Full-Time 55000 - 75000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Use data to drive decisions and improve user engagement for a bank of the future.
  • Company: Join Monzo, a fast-growing bank with over 4.5 million customers.
  • Benefits: Earn £55,000 to £75,000 plus performance incentives and flexible working options.
  • Other info: Enjoy a learning budget and opportunities for relocation and visa sponsorship.
  • Why this job: Make a real impact on banking by shaping user experiences with data insights.
  • Qualifications: Experience in SQL, Python, and A/B testing; strong analytical and teamwork skills.

The predicted salary is between 55000 - 75000 £ per year.

London | UK remote | £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits

About our Data Science Team: We're looking for a 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 four and half million customers in the UK, with over 100,000 new people joining every month. 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 head space to focus on more impactful business questions and analyses.

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 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 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 but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com.

What’s in it for you:

  • £55,000 to £75,000 + Incentive Awards tied to your performance + Benefits.
  • We can help you relocate to the UK.
  • We can sponsor visas.
  • This role can be based in our London office, but we're 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 here.
  • 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.

Data Scientist employer: By Referrals Only

Monzo is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Data Scientist to thrive. With a strong emphasis on data-driven decision-making and a commitment to employee growth, you will have access to a generous learning budget and flexible working arrangements that promote work-life balance. Join us in building a bank that customers love while enjoying the benefits of a supportive team environment in the heart of London or remotely across the UK.

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Contact Details:

By Referrals Only Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist

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We think you need these skills to ace Data Scientist

Quantitative Analysis
Data Mining
Data Presentation
A/B Testing
SQL
Python
Data-Driven Decision Making

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at By Referrals Only

Brush Up on Your Statistics

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Get Comfortable with Python and R

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Prepare for Case Studies

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