Senior Data Scientist, Borrowing
Cardiff, London or Remote (UK)
š Weāre on a mission to make money work for everyone.
Weāre waving goodbye to the complicated and confusing ways of traditional banking.Ā
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!
Weāre not about selling products - we want to solve problems and change lives through Monzo ā¤ļø
Hear from our team about what it's like working at Monzo āØ
Ā
šLondon | UK remote | š° Ā£80,000 to Ā£90,000 + Stock Options + Benefits | Hear from the team
About us:Ā
Weāre here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.
We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.
We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.
About our Data Science Team:
We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 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. Weāre growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. Weāve 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 youāll be working onĀ
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into Borrowing product squads alongside engineers, designers, marketers and product managers.
Your day-to-day
- Apply your expertise in analytics and data science to build a comprehensive understanding of our customers through identifying their needs and behaviours to steer data driven product development.
- Lead and empower product teams to measure things that matter to improve our products and customer experience.
- Design, implement and analyse A/B tests to assess the impact of product features and changes.
- Collaborate with user research to use data to enhance insights and guide strategic decisions.
- Develop and maintain data pipelines, dashboards, and reporting tools to monitor product performance.
- Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.
You should apply if:
What weāre doing here at Monzo excites you!
- 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
- Youāre 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:Ā
- Initial CallĀ
- Technical assessment
- Final interview including a case study and collaboration interviewĀ
Our average process takes around 2-3 weeks but we will always work around your availability.Ā
You will have the chance to speak to our recruitment team at various points during your process but if youĀ
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.comĀ
Whatās in it for you:
š°Ā Ā£80,000 to Ā£90,000 + Stock Options + Benefits
āļø We can help you relocate to the UKĀ
ā We can sponsor visasĀ
šThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
ā° 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.
šLearning budget of Ā£1,000 a year for books, training courses and conferences
āAnd 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.
Ā
#LI-NB2 #LI-Remote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weāre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weāre 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 2023 Gender Pay Gap Report.
Weāre 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 š
ApplyJob Profile
Ad hoc meetings in London
Benefits/PerksAd hoc meetings Benefits Financial education Flexible working Flexible working hours Inclusive environment Learning Budget Learning budget of Ā£1 Learning budget of Ā£1,000 a year Options Stock options
Tasks- Analyze customer data
- Collaborate with user research
- Collaboration
- Design A/B tests
- Develop data pipelines
- Lead product teams
A/B Testing Analytics Banking Collaboration Cross-functional Collaboration Customer Experience Customer service Dashboards Data-driven decision making Data Pipelines Data Science Diversity and Inclusion Financial Education Financial products Looker Python Reporting Reporting tools SQL Training User Experience User Research
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