Lead Data Scientist
Lead Data Scientist
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Job Description
Job Title: Lead Data Scientist Decisioning & AI
Location: Hub based (Leeds Manchester with European travel)
Contract: FullTime
About Cox Automotive Europe
Cox Automotive Europe is leading the digital transformation of the automotive industry empowering dealers OEMs and buyers with cuttingedge tools that redefine how vehicles are managed traded and optimised. Our panEuropean programme includes a groundbreaking Decision Engine an AIdriven platform that turns complex data into actionable insights enabling smarter decisions across inventory pricing and supply chains. Join us to shape the future of automotive intelligence.
Role Overview
As Lead Data Scientist youll lead the development of machine learning models that power the Decision Engine drive strategic AI initiatives and mentor a team of data scientists (including a Senior Data Scientist). Youll bridge complex data (vehicle lifecycle marketplace behavior thirdparty signals) with business outcomes ensuring our models deliver measurable ROI for clients while adhering to ethical AI practices.
Key Responsibilities
1. Technical Leadership
Architect and deploy scalable ML models (e.g. dynamic pricing demand forecasting desirability scoring) using Python PyTorch/TensorFlow and cloud ML tools (AWS SageMaker Databricks).
Define best practices for model governance monitoring and retraining in production.
Lead R&D into emerging techniques (e.g. graph neural networks for inventory routing GenAI for buyer personalisation).
2. Team Management & Mentorship
Manage and mentor a Senior Data Scientist fostering growth in model optimisation MLOps and stakeholder collaboration.
Coordinate with Data Engineering to ensure seamless data pipelines for model inputs (e.g. realtime inventory feeds thirdparty economic data).
3. CrossFunctional Collaboration
Partner with Product Managers to translate business problems into ML solutions (e.g. How can we reduce Frances overstock by 30.
Work with Service Designers to ensure model outputs align with user workflows (e.g. explainable AI dashboards for dealers).
Advise Legal & Compliance on ethical AI bias mitigation and GDPRcompliant data usage.
4. AutomotiveFocused Innovation
Design models that address industryspecific challenges:
Residual value prediction with subsidy integration.
Crossborder supply/demand matching (e.g. relocating EVs from Germany to Norway).
Auction timing optimisation using historical buyer behaviour.
Publish white papers or present findings at industry conferences to position Cox as a thought leader.
Qualifications:
7 years in Data Science with 2 years leading teams in B2B automotive fintech or supply chain domains.
Expertise in productiongrade ML (model deployment A/B testing MLOps) and tools like MLflow Airflow or Kubeflow.
Mastery of Python SQL and cloud platforms (AWS/Asure/GCP).
Proven track record solving business problems with ML (e.g. pricing logistics churn).
Strong communication skills: Ability to simplify ML concepts for nontechnical stakeholders.
Desired:
PhD in Data Science Computer Science or related field.
Experience with timeseries forecasting graph analytics or GenAI.
Familiarity with automotive data (e.g. vehicle telematics auction dynamics).
Fluency in French would be helpful.
STRICTLY NO AGENCIES PLEASE
We work with a carefully selected set of recruitment agencies and were not looking to add to our PSL.
We do not accept unsolicited agency CVs sent to the recruitment team or directly to the hiring manager. We will not be responsible for any fees related to unsolicited CVs.
Who we are
Cox Automotive is the worlds largest automotive service organisation. We
provide dependable solutions that improve performance and profitability
throughout the vehicle lifecycle to manufacturers fleets and retailers.
Our businesses are organised around our customers core needs across vehicle
solutions mobility remarketing funding and retail.
The Benefits
Testimonials
Aneliese Platts
Senior Designer
Ann Fairbanks
Executive PA & Business Support
Gemma Hepple
National Operations Manager
Documents
Employment Type
Full-Time
