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Data Science Manager

Job in Nottingham, Nottinghamshire, NG1, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution Data Science Manager

London – Hybrid

Up to £80,000

About the Role

We’re working with a fintech that’s transforming how people think about saving and investing. Their mission is to simplify financial wellbeing through technology—building products that help millions of people make smarter, more confident financial decisions.

As a Data Science Manager, you’ll lead Data Science projects within the data team, with the idea to work towards people management. You'll play a key part in shaping how customer data informs decision‑making at scale.

Key Responsibilities
  • Lead and develop a team of data scientists, providing technical guidance and strategic direction.
  • Partner with senior stakeholders to identify opportunities for data‑driven improvement in customer engagement, retention, and product experience.
  • Oversee the design, development, and delivery of advanced analytical models and insights that support business growth.
  • Translate complex data into clear, actionable recommendations that drive commercial impact.
  • Collaborate closely with BI and Data Engineering teams to ensure reliable data foundations and scalable analytical solutions.
  • Champion the use of data science across the organisation, embedding a culture of evidence‑based decision‑making.
What We’re Looking For
  • Strong grounding in statistics, mathematics, and applied data science.
  • Proven experience leading analytics or data science projects from conception to delivery.
  • Proficiency in Python (Pandas, Num Py, Scikit‑learn, Stats models, Matplotlib) for analysis, modelling, and visualisation.
  • Experience with customer, product, or financial analytics—understanding drivers of engagement, retention, and value.
  • Track record of working in agile, cross‑functional environments and delivering measurable impact.
  • Excellent communication and stakeholder management skills, with the ability to influence non‑technical audiences.

Please note:

This role cannot offer sponsorship

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