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 forpricing strategy,machine learning, andcommercial impact? We're hiring on behalf of a major UK-based automotive group seeking aData Science Managerto lead pricing analytics and shape the future of their data products.
This is a high-profile opportunity to head up a dedicatedValuations & Pricingteam, 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 onmodel innovation,business impact, andteam 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 inpricing analytics,valuation modelling, or similar domains.
- Strong hands-on experience developing ML solutions inPython.
- 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 toMarketing Data Science(e.g., Marketing Mix Modelling, Multi-Touch Attribution) orOperational Research.
- Experience working in anAgiledevelopment 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 apeople managerand 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 onresearch, 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 nowor get in touch for a confidential discussion.
