Data Science Manager – Pricing
Location: Hybrid (1–2 days/week in London)
Salary: £90,000-£110,000 + 20% Bonus + £6,000 Car Allowance + 6% Pension +more
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.
