Data Science Manager (Reading)

Data Science Manager – Pricing

Location: Hybrid (1–2 days/week in Reading or London)

Salary: £90,000-£110,000 + 20% Bonus + £6,000 Car Allowance + 6% Pension +more

Recruiting on behalf of a leading automotive company

Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data products.

This is a high-profile opportunity to head up a dedicated Valuations & Pricing team, delivering cutting-edge machine learning solutions that influence decision-making across a large, fast-moving business. You'll have access to vast datasets, modern tooling, and the support of experienced MLOps and Data Engineering teams – freeing you to focus on model innovation , business impact , and team leadership .

Key Responsibilities

  • Lead and coach a team of data scientists focused on pricing and valuation products.
  • Develop and deploy machine learning models that drive pricing accuracy and business performance.
  • Own the pricing analytics roadmap, aligning with senior stakeholders to prioritise and deliver key initiatives.
  • Work cross-functionally with Marketing and Operations data teams to extend the reach of data science across the organisation.
  • Collaborate with MLOps and Engineering teams to ensure seamless product delivery and integration.
  • Promote the use and value of pricing models to non-technical stakeholders through clear and effective communication.
  • Continuously improve the product lifecycle, model pipelines, and development processes to enable rapid innovation.

What We're Looking For

Essential Skills & Experience:

  • Proven track record in pricing analytics , valuation modelling , or similar domains.
  • Strong hands-on experience developing ML solutions in Python .
  • Experience managing and growing high-performing data science teams.
  • Ability to build and communicate complex solutions to stakeholders across different levels and disciplines.
  • Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.).
  • Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation.
  • Strong stakeholder management and product ownership skills.
  • Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions.

Desirable:

  • Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution) or Operational Research .
  • Experience working in an Agile development environment.

What You'll Gain

  • The chance to lead a strategically critical function with high visibility across the organisation.
  • Dedicated time and support to grow your skills as a people manager and strategic leader.
  • A flexible hybrid work model (Reading or London) and a collaborative environment.
  • A role where your models directly shape pricing, influence profitability, and deliver real commercial outcomes.
  • Support from seasoned MLOps and engineering teams – letting you focus on research, modelling, and innovation .

If you’re passionate about pricing science and ready to step into a leadership role where your work has real business impact, we’d love to hear from you.

Apply now or get in touch for a confidential discussion.

Company
KDR Talent Solutions
Location
Holybrook, Berkshire, UK
Hybrid / WFH Options
Posted
Company
KDR Talent Solutions
Location
Holybrook, Berkshire, UK
Hybrid / WFH Options
Posted