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- Tasks: Lead a team of data scientists to develop pricing models and analytics.
- Company: Join a leading UK automotive group focused on innovation and data-driven decisions.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and professional development support.
- Why this job: Shape pricing strategies that impact business performance in a collaborative environment.
- Qualifications: Experience in pricing analytics, machine learning, and team management is essential.
- Other info: Opportunity for significant career growth and influence within the organisation.
The predicted salary is between 72000 - 88000 £ per year.
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.
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarise yourself with the latest trends in pricing analytics and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the automotive industry, especially those involved in data science and pricing. Attend relevant meetups or webinars to build connections that could provide insights or referrals for the role.
✨Tip Number 3
Prepare to showcase your leadership skills by thinking of examples where you've successfully managed a team or project. Highlighting your ability to coach and develop others will be crucial for this managerial position.
✨Tip Number 4
Brush up on your communication skills, particularly how to convey complex data science concepts to non-technical stakeholders. Practising clear and concise explanations will help you stand out during interviews.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in pricing analytics and machine learning. Use specific examples that demonstrate your ability to lead teams and develop impactful models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and pricing strategy. Mention how your skills align with the job requirements and express your enthusiasm for the role and the company.
Highlight Relevant Projects: In your application, include details about specific projects where you've successfully implemented machine learning solutions or led a team. This will help illustrate your hands-on experience and leadership capabilities.
Showcase Communication Skills: Since the role involves promoting pricing models to non-technical stakeholders, emphasise your ability to communicate complex ideas clearly. Provide examples of how you've effectively communicated technical concepts in previous roles.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Be prepared to discuss your experience in managing and growing high-performing teams. Share specific examples of how you've coached team members and fostered a collaborative environment.
✨Demonstrate Technical Proficiency
Make sure to highlight your hands-on experience with machine learning solutions, particularly in Python. Be ready to discuss the tools you’ve used, such as Azure ML or Databricks, and how they contributed to successful projects.
✨Communicate Complex Ideas Simply
You'll need to explain complex pricing models to non-technical stakeholders. Practice articulating your past projects in a way that is clear and relatable, focusing on the business impact rather than just the technical details.
✨Prepare for Stakeholder Management Questions
Expect questions about how you manage relationships with senior stakeholders. Think of examples where you aligned analytics initiatives with business goals and how you prioritised tasks based on stakeholder needs.
