Details
1108661
University of Warwick
09/03/2026
Other - See Job
36.5 hours, Monday - Friday
Smart Casual
Pay
£24.97
£3.01
Description
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.
This is a temporary assignment until 30/8/26.
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 COâ‚‚ emissions.
AI/ML Application in Supply Chain Data
- AI/ML Application in Supply Chain including developing and deploying predictive models using machine learning algorithms to enhance accuracy in supply chain predictions.
- Manage research aspects of the project including contributing to academic publications, technical reports and other presentations and dissemination methods.
- Record and track the delivery of outputs during research & identify routes for achievement of targets.
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.
Skills and experience
- PhD or MSc with equivalent experience in Data Science, Applied Mathematics, Computer Science, Operations Research, or a related discipline. Strong expertise in AI/ML, statistical modelling, and complex network analysis.
- Proven experience working with large, complex industrial datasets. Ability to translate advanced analytics into clear, actionable insights for senior industry stakeholders.
- Significant experience of data analytics including developing and applying AI and ML models and synthesizing insights
- Experience in, Python, PyTorch, SQL, PySpark, data analysis and interpretation
- Experience of industrial R&D and first implementation in “real world” environment
- Ability to deliver rapid, commercially focused results
- Self-motivated and independent with the ability to devise appropriate research and follow through to completion
- Excellent oral and written communication skills
- Ability to work both independently and as part of a team
- Ability to deal with and build relationships with collaborative partners
- Strong interest in supply chain, digital twins and logistics.
Location
Hybrid – University of Warwick
Additional information
- Advert closing date: Midnight on 23/2/26
- Interview date: TBC
- Start date: ASAP after successful interview
Please note, if you apply for this role your contact details will be shared directly with the hiring manager Please note that your CV and Cover Letter is your chance to explain why you are interested in the role and why you feel like you will be suitable fit. Relying too heavily on services such as Chat GPT when writing your cv and cover letters could reduce your chances of being shortlisted.
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