Data Scientist
Data Scientist
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Job Description
Were on a mission to make money work for everyone.
Were 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 aspersonal and business bank accounts we offer joint accounts accounts for 1617 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 getpaidearly 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!
Were not about selling products we want to solve problems and change lives through Monzo
London UK remote 55000 to 75000 Stock Options Benefits Hear from the team
About our Data Science Team:
Were looking for a Product Data Scientist excited to help build the bank of the future. Youll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love.
At Monzo were building a bank that is fair transparent and a delight to use. Were growing extremely fast and have over four and half million customers in the UK with over 100000 new people joining every month. Weve 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 datadriven decision making across the whole company. And were great believers in powerful realtime analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of daytoday datadriven decisions are covered by selfserve 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!
What youll be working on
We work in crossfunctional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers designers marketers product managers etc.
Your daytoday
- 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 companywide 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:
What were doing here at Monzo excites you!
- Youre impact driven and eager to have a real positive impact on the company product users and very importantly your colleagues as well
- Youre commercially minded and can put numbers into business perspective
- Youre as comfortable getting handson as taking a step back and thinking strategically
- You have a selfstarter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
- Youre 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:
- Recruiter Call
- Initial Call
- Take Home Task
- Final interview including a case study and collaboration interview
Our average process takes around 23 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
Whats in it for you:
55000 to 75000 Stock Options Benefits
We can help you relocate to the UK
We can sponsor visas
This role can be based in our London office but were 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 1000 a year for books training courses and conferences
And much more see our full list of benefits here
If you prefer to work parttime well make this happen whenever we can whether this is to help you meet other commitments or strike a great worklife balance.
#LINB1 #LIRemote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were 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 2023 Diversity and Inclusion Report and 2024 Gender Pay Gap Report.
Were 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 dont need full or birth names at application stage
Employment Type
Full Time
