(30/06/2025) Data Science Manager...

Job Description

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.