đLondon/Anywhere (UK)
About us:Â
Weâre 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, Personal Banking Team:
The Personal Banking collective owns our most important current account features you may be familiar with from our app. Youâll get the chance to work on some of our market leading products and be an integral part of how we reimagine the product for the future. Your work will produce a best in class new user experience.
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.
We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside engineers, designers, marketers, product managers, analytics engineers, machine learning engineers, etc.
What youâll be working on:
Youâll work closely with product managers, engineers, designers and researchers in an agile product environment. Youâll champion the use of data, and bring ideas to life through rigorous experimentation and A/B testing. Youâll help us get the most out of our volumes of data, spotting opportunities to make each area of our product work even better for our users. Youâll help your team grow, hiring new team members, supporting their personal development. Your team will drive product innovation and youâll get to see the impact of all your work in the product changes we make.
Your day-to-day  Â
Be a leader in building a discipline of exceptional data scientists working on making Monzo a world class product
You should apply if:
What weâre doing here at Monzo excites you!
The Interview Process:
Our interview process involves 3 main stages We promise not to ask you any brain teasers or trick questions!
Our average process takes around 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 ahead of this please contact us on tech-hiring@monzo.com
Whatâs in it for you:
âď¸ We can help you relocate to the UKÂ
â We can sponsor visas
đThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
â° 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.
đLearning budget of ÂŁ1,000 a year for books, training courses and conferences
âAnd 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.
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and 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, 2021 Diversity and Inclusion Report and 2021 Gender Pay Gap Report.
We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.
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