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Data Science Manager

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Monzo Bank
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 102000 - 130000 GBP Yearly GBP 102000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Science Manager, Payments
Location: Greater London

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🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown over the last 10 years in the UK, offering personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account, credit cards, and more.

Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get‑paid‑early feature, combined with financial education on social media and 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.

Location:

London, UK (remote). Salary: ÂŁ102,000 to ÂŁ130,000 + Stock Options + Benefits.

About Us

We’re 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 community suggests features, tests the app and gives us constant feedback so we can build something everyone loves. We’re focused on solving problems, rather than selling financial products, and want to make the world a better place.

About

Our Payments Team

The Payments Data team consists of over 15 people across three data disciplines:
Analytics Engineering, Data Analytics, and Data Science. Our Payments Collective exists to provide a platform for teams to launch banking products with confidence, enabling Monzo’s global ambitions and driving revenue and customer growth.

What You’ll Be Working On

You’ll work closely with the Product and Engineering teams in an agile product environment, champion the use of data and bring ideas to life through rigorous analytics. Your work will focus on enabling revenue and customer growth, managing a team of Data Scientists and Data Analysts, and collaborating with Analytics Engineers.

Your day-to-day
  • Lead a discipline of exceptional Data Scientists and Analysts focused on Payments products and experience.
  • Hire, develop, and retain talented Data people.
  • Collaborate closely with senior leaders across Monzo to deliver products for our customers.
  • Bring data leadership and rigour to product development, structuring complex projects with a strategic business understanding.
  • Define team strategy and create comprehensive roadmaps for all projects.
  • Generate insights that can change the direction of our Payments strategy.
  • Work and advise on Payments’s global expansion strategy.
  • Liaise with Product and Engineering managers to ensure we collect the right data for relevant business insights.
Our Technology Stack

Our data platform is the core of our mission to enable Monzo to make better decisions faster. The stack simplifies and re‑uses data, storing everything in a single data warehouse on Google Big Query.

  • Google Cloud Platform for analytics infrastructure.
  • dbt and Big Query SQL for data modelling and warehousing.
  • Python for data science.
  • Go for application code.
  • AWS for most backend infrastructure.
You Should Apply If
  • What we’re doing at Monzo excites you.
  • You have experience managing a team of Data Scientists.
  • You are a strong strategic data leader passionate about using data to improve business decisions.
  • You have strong experience working with executive or C‑level peers and managing stakeholders across seniorities and disciplines.
  • You know what it takes to manage top‑tier Data talent.
  • You’re excited by the opportunity to work autonomously and impact a fast‑growing, ever‑evolving business.
  • You have strong product knowledge and have built data products previously.
  • You’re familiar with a variety of Data Science tools and coding languages (Python and SQL) and know when to pick the right tool.
  • Experience in Payments is a plus but not required.
The Interview Process
  • 30‑minute recruiter call.
  • 45‑minute initial call.
  • 3 x 1‑hour video calls, including a technical case study.
What’s In It For You
  • Assist with relocation to the UK.
  • Sponsor visas.
  • Role can be based in London office or distributed within the UK with…
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