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.