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Data Science Manager

Monzo Bank· Data
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Hybrid (London/UK)£100k - £130kfull-timePosted 1mo ago

About the role

Data Science Manager role at Monzo, leading a team of Data Scientists and data professionals within one of Monzo's product areas, combining people leadership with strategic data leadership and close partnership with senior stakeholders.

Responsibilities

  • Lead, develop and grow a team of exceptional Data Scientists and other Data professionals.
  • Hire, coach and retain talented people while creating an environment where they can develop and do their best work.
  • Set the Data Science direction for your area and identify where data can have the greatest customer and business impact.
  • Partner with Product, Engineering and senior stakeholders to shape strategy and influence product direction.
  • Bring analytical rigour to complex and ambiguous problems and help teams turn them into clear, actionable opportunities.
  • Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning.
  • Help connect Data Science work to measurable customer, product and commercial outcomes.
  • Work with Analytics Engineering, Machine Learning and other Data disciplines to ensure teams have the data, tooling and infrastructure they need.
  • Contribute to the wider Data Science discipline at Monzo, helping us continually raise the bar for how we work.

Qualifications

  • Significant experience managing and developing Data Scientists.
  • Strong strategic data leadership with a track record of using data to influence decisions and direction.
  • Experience partnering with senior and executive stakeholders across functions and levels of seniority.
  • Comfort with autonomy in a fast-growing, evolving organization.
  • Strong understanding of Data Science approaches including experimentation, causal inference, statistical analysis and machine learning.
  • Proficiency with Python and SQL, and ability to choose appropriate analytical approaches.

Skills

Required:Data Science leadershipExperimentationStatistical analysisPythonSQL
Nice to have:Causal inferenceMachine learning

Benefits

  • Relocation assistance to the UK if needed.
  • Visa sponsorship.
  • Distributed UK remote work option with occasional London visits.
  • Flexible working hours.
  • Learning budget of £1,000 per year for books, training courses and conferences
  • Access to full benefits package at Monzo (see careers page)
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About Monzo Bank

A bank as smart as your phone.

YC has written a good overview of our business on their blog: https://blog.ycombinator.com/monzo-makes-money-work-for-everyone/ Our mission is to make money work for everyone. We are the UK's leading digital bank for individuals and businesses, reinventing the traditional banking industry one customer at a time. We're relentlessly mission driven and always put our customers first - from what products we chose to launch next to our transparency and use of simple language. With a Net Promoter Score of 70+, it shows. From our founding in 2015, we now have over 7 million customers in the UK (13% of UK adults) and are building out our team in the US. We've seen incredible organic growth, acquiring 150,000 customers / month in 2022, with 80% of this coming from word of mouth. Our weekly active user rate is ~60% and ~40% of our active users use us as their Main Bank account, showing that we are a product that is embedded in our users' daily lives. We've grown to ~2,450 staff (~400 of which make up the product/tech team), and are backed by YC, Stripe, Tencent, Mike Moritz, and others. Internally, we encourage an open, collaborative, and inclusive working environment - we were voted the #1 startup where people in the UK want to work for the second year running in 2022. We contribute to open source software, and we continually engage with our wonderful community. We're hiring talented, creative problem-solvers to help us build the bank of the future. Join us!

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