Senior Data Scientist

London United Kingdom Ref: 2029

Senior Data Scientist / Quantitative Modelling Lead – Supply Chain & Network Dynamics

ROLE OVERVIEW
We are looking for a Senior Quantitative Modelling Lead to own the development of advanced supply chain models used to strengthen resilience across critical national infrastructure and defence-related systems. This role sits at the intersection of mathematics, economics, data science, and real-world decision-making. You will take ownership of the mathematical direction of a growing modelling framework that helps governments and organisations understand how supply chains behave under disruption — and how they can recover. The work is intellectually deep, highly applied, and directly influences national-level policy and operational decisions.

KEY RESPONSIBILITIES

• Own the design and evolution of sophisticated supply chain and network models
• Build on an existing deterministic network allocation model and extend it into dynamic, time-based, and stochastic settings
• Shape how shocks propagate through supplier networks and how systems reallocate under constraint
• Extend current allocation mechanisms into more realistic, uncertainty-aware frameworks
• Improve representations of capacity limits, behavioural effects, and prioritisation under stress
• Introduce rigorous approaches to modelling uncertainty, including probabilistic and Bayesian techniques
• Apply causal inference methods to large, complex global supply chain and trade datasets
• Translate complex mathematical outputs into clear, defensible insights for non-technical audiences
• Support policy and operational decision-makers with evidence-based recommendations

PERSON SPECIFICATION

Essential

• PhD or equivalent research experience in Mathematics, Econometrics, Operations Research, Supply Chain Analytics, or a closely related field
• Strong grounding in network models, optimisation, and equilibrium concepts
• Proven experience working with large, real-world datasets and applying causal inference
• Ability to think clearly across theory, data, and practical application
• Confidence explaining complex ideas to mixed technical and non-technical audiences
• Eligible for UK Security Clearance

Desirable

• Familiarity with Bayesian methods and probabilistic modelling
• Experience modelling supply chain networks, trade flows, or production systems
• Understanding of production functions and input-output modelling
• Practical coding ability in Python or similar
• Experience working in government, defence, infrastructure, or national-level economic contexts

Candidate Profile

• Intellectually rigorous with a strong applied mindset
• Motivated by high-impact, real-world problems
• Comfortable balancing theoretical depth with practical usefulness
• Confident communicating with senior stakeholders and non-technical audiences
• Drawn to long-term, meaningful work with genuine national outcomes

HOW TO APPLY To apply, please send your CV and a covering letter to Arran Goodridge via [email protected] quoting the role title in the subject line.

Salary: Competitive
Location: UK-based (hybrid working)