Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a data science team to optimise operations and logistics using advanced modelling techniques.
- Company: Join one of the UK's largest automotive technology groups, driving innovation in the industry.
- Benefits: Enjoy a competitive salary, car allowance, bonus, and excellent benefits including mental health support.
- Why this job: Make a real-world impact while working in a flexible, hybrid environment with cutting-edge technology.
- Qualifications: Experience in optimisation models, team leadership, and strong communication skills are essential.
- Other info: Opportunity for career development with coaching and mentoring in a forward-thinking company.
The predicted salary is between 80000 - 100000 £ per year.
Location: Hybrid (1–2 days/week in Reading or Central London)
Salary: £80,000-£100,000+ Car Allowance + 10% Bonus + Excellent Benefits
We’re recruiting on behalf of one of the UK’s largest and most influential automotive groups for a Data Science Manager (Operations). This is an outstanding opportunity for an experienced data scientist and people leader to shape operational strategy using cutting-edge optimisation techniques across a high-impact, data-rich organisation.
The Role
- Lead a growing group of data scientists focused on solving real-world operational challenges.
- Design and deploy advanced models that improve supply chain efficiency, optimise vehicle movement, and enhance operational workflows across the organisation.
- Supported by a modern MLOps and Data Engineering function.
Key Responsibilities
- Lead and mentor a data science team focused on operational optimisation, logistics, and refurbishment strategy.
- Define and deliver a product roadmap that solves key operational pain points through data science and algorithmic innovation.
- Apply advanced mathematical optimisation techniques (e.g., Linear Programming, Scheduling, Graph Theory) to complex business problems.
- Work cross-functionally with senior stakeholders to translate business requirements into scalable technical solutions.
- Collaborate with MLOps and Engineering teams to productionise models using robust and scalable pipelines.
- Champion the integration of model outputs into wider data and reporting platforms.
- Clearly communicate technical insights and model outcomes to non-technical stakeholders across all levels.
Your Background & Skills
Required:
- Proven experience building optimisation models using Python libraries such as PuLP, ortools, or SciPy.optimize.
- Hands-on expertise in combinatorial optimisation, scheduling algorithms, network optimisation, and/or simulation methods (e.g., Monte Carlo, Markov chains).
- Strong track record of managing and growing high-performing data science teams.
- Excellent stakeholder management and communication skills – able to explain complex concepts in accessible language.
- Proficiency in tools such as Azure ML Studio, Databricks, AWS/SageMaker, Snowflake, and cloud-native platforms.
- Familiarity with CI/CD tools like Azure DevOps Pipelines or GitHub Actions.
- Comfortable working in Agile environments and contributing to iterative product development.
Bonus if you have:
- Experience integrating models into operational decision-making processes or logistics platforms.
- Exposure to Agile delivery methodologies or working in cross-functional squads.
What You’ll Get in Return
- A leadership role where your work has direct and measurable impact on operational efficiency and bottom-line performance.
- Dedicated support from MLOps and Engineering teams to accelerate delivery.
- Access to career development support including coaching, mentoring, and leadership training.
- A competitive salary package including car allowance, bonus, and comprehensive benefits such as enhanced parental leave, pension scheme, and mental health support.
- The chance to join a forward-thinking group of businesses that are reshaping the automotive industry with technology and data at the core.
Ready to lead a high-performing team where operational data science meets real-world impact? Apply today or reach out for a confidential discussion.
Data Science Manager (London Area) employer: KDR Talent Solutions
Contact Detail:
KDR Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (London Area)
✨Tip Number 1
Network with professionals in the automotive and data science sectors. Attend industry events or webinars to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest optimisation techniques and tools mentioned in the job description, such as Python libraries for optimisation and cloud platforms like Azure ML Studio. Being well-versed in these will give you an edge during discussions.
✨Tip Number 3
Prepare to discuss your previous experience in managing data science teams and how you've successfully delivered projects that improved operational efficiency. Be ready to share specific examples that highlight your leadership and technical skills.
✨Tip Number 4
Research the company’s recent projects and initiatives in the automotive technology space. Understanding their current challenges and successes will allow you to tailor your conversations and demonstrate your genuine interest in contributing to their goals.
We think you need these skills to ace Data Science Manager (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and team leadership. Emphasise your skills in optimisation techniques and any specific tools mentioned in the job description, such as Python libraries and cloud platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for operational optimisation and your ability to lead a team. Use specific examples from your past experiences to demonstrate how you have successfully solved complex business problems using data science.
Highlight Technical Skills: In your application, clearly outline your technical expertise in areas like combinatorial optimisation, scheduling algorithms, and familiarity with CI/CD tools. This will help the hiring team see your fit for the role at a glance.
Showcase Communication Skills: Since the role requires explaining complex concepts to non-technical stakeholders, include examples of how you've effectively communicated technical insights in previous roles. This can set you apart from other candidates.
How to prepare for a job interview at KDR Talent Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with optimisation models and Python libraries like PuLP or SciPy.optimize. Bring examples of past projects where you've successfully applied these techniques to solve complex business problems.
✨Demonstrate Leadership Experience
Highlight your experience in managing and mentoring data science teams. Share specific instances where you led a team to achieve significant results, focusing on how you fostered collaboration and innovation.
✨Communicate Clearly with Stakeholders
Practice explaining technical concepts in simple terms. You may be asked to present your ideas to non-technical stakeholders, so being able to convey complex information clearly is crucial.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working in Agile environments, brush up on Agile principles and be ready to discuss how you've contributed to iterative product development in previous roles.
