Product Data Scientist — Remote/UK, Impact & Growth

Product Data Scientist — Remote/UK, Impact & Growth

Full-Time 63000 - 77000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Analyse data to shape the future of banking and enhance user engagement.
  • Company: Join Monzo, a forward-thinking bank revolutionising the financial sector.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and user experience.
  • Why this job: Be part of a dynamic team driving impactful changes in banking.
  • Qualifications: Experience in data analysis and a passion for product strategy.

The predicted salary is between 63000 - 77000 £ per year.

Monzo in London is seeking a Product Data Scientist to help build the bank of the future.

You’ll work in cross-functional squads with engineers, designers, marketers, and product managers to supercharge user engagement in 2025.

You’ll apply quantitative analysis, data mining, and data presentation to inform product strategy and measure what matters.

You’ll lead or support A/B experiments, collaborate with finance on user lifetime value, and ensure data collection supports insightful business

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Product Data Scientist — Remote/UK, Impact & Growth employer: By Referrals Only

Monzo is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Data Scientist to thrive. With a strong emphasis on data-driven decision-making and a commitment to employee growth, you will have access to a generous learning budget and flexible working arrangements that promote work-life balance. Join us in building a bank that customers love while enjoying the benefits of a supportive team environment in the heart of London or remotely across the UK.

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Contact Details:

By Referrals Only Recruitment Team

We think you need these skills to ace Product Data Scientist — Remote/UK, Impact & Growth

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail