Lead Data Scientist, Core

We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking.

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 ️

Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Joint, Under 16s and 16 to 17 accounts), designing the overall app structure, the day-to-day money management experience (including features like Trends, Salary Sorter, Bills Pots, and more) and other value propositions like Travel. The collective is also responsible for Subscriptions, which are paid upgrades that unlock extra benefits and functionality that help customers make financial progress.

We’re now gearing up for our next phase of growth, from 10 million to 20 million customers.

What you’ll be working on:

• Lead the product strategy in App Evolution within Core Banking - continuing to evolve the app experience for customers to make it magically simple to manage money day-to-day with Monzo and help customers discover the differentiated value
• Develop and execute best practices for experimentation, enabling our team to make data-informed decisions
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Work closely with leaders in product, engineering, design and research to build and iterate on product ideas.

You should apply if:

• You enjoy working with cross-functional fast, moving teams
• You are able to think strategically about the Core Banking product and how decisions using data can unlock more value for our customers.
• You are excited about mentoring other data scientists and analytics engineers.
• You are excited by experimentation and utilising new data techniques to solve challenging problems.
• You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features.
• You are opinionated about how to think about measuring success and are willing to challenge the status quo.

The interview process:

Our interview process involves:

• 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, but if you have any specific questions ahead of this, please contact us at

One of our recruiters has written a blog on the process; for extra details, hints and tips, please seeData Hiring at Monzo

What’s in it for you:

£95,000 to £115,000 + 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 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 benefitshere

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 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 ourblog , 2023Diversity and Inclusion Report and 2023Gender 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, 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 the application stage

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