ROLE (please provide a brief outline of the role)
WMG's Supply Chain Research Group is seeking a Senior Supply Chain Data Scientist / Senior Research Fellow to lead advanced data science and AI activity within a strategic collaboration with a leading global automotive manufacturer. The role focuses on transforming rich, multi-tier supply chain mapping data into automated, decision-ready insights that enhance supply chain resilience, efficiency, and sustainability.
This is an opportunity-led role, aimed at unlocking value from existing supply chain data through AI/ML, network analytics, and digital supply chain twinning, rather than addressing a single predefined problem.
DUTIES AND RESPONSIBILITIES
Advanced Analytics, AI & Risk Intelligence
1. Lead the analysis of complex, multi-tier supply chain data to identify hidden dependencies, concentration risks, and long lead-time vulnerabilities. Design and deploy AI/ML and network-based models to generate early-warning risk signals and performance insights. Develop automated or near-real-time AI-driven insights to support proactive supply chain decision-making.
Digital Supply Chain Twins & Scenario Modelling
2. Lead the development of digital supply chain twins, representing suppliers, transport routes, lead times, and risk exposures. Use digital twins to simulate disruption scenarios, test mitigation strategies, and evaluate trade-offs between cost, service, risk, and CO₂ emissions.
AI/ML Application in Supply Chain Data
3. AI/ML Application in Supply Chain including developing and deploying predictive models using machine learning algorithms to enhance accuracy in supply chain predictions.
4. Manage research aspects of the project including contributing to academic publications, technical reports and other presentations and dissemination methods.
5. Record and track the delivery of outputs during research & identify routes for achievement of targets.
6. Leadership, Industry Engagement & Research Excellence
Act as a technical lead and trusted advisor to industry partners. Provide mentorship to junior researchers and data scientists within WMG. Contribute to research funding proposals, high-impact industry reports, and thought leadership in AI-enabled supply chains.