Ranulf Corbett

Analytics leader with over a decade of experience leading technical teams and holding them to a standard, combining hands-on modelling with the stakeholder credibility to get findings acted on. Built forecasting, simulation, and optimisation models that saved £54M annually, averted an operational crisis by projecting a 400% rise in demand, and cut supply chain costs by 95%. Coached 50+ analysts in R and Python, and directed a 27-strong multi-disciplinary team across three organisational silos.

Comfortable challenging an approach, raising the technical bar, and translating a model into a commercial decision someone will fund.

Assistant Head of Strategic Optioneering at Defence Nuclear Organisation (2025-11 – Present)

• Designed and implemented a strategic optioneering framework that formalised complex problem-solving whilst meeting regulatory expectations.

Independent Analytics & AI Advisor at QWERTY (2026-05 – Present)

• Automated experience voucher production using Claude, and embedded a structured schema after auditing visibility across search engines and AI platforms, evidencing a roughly 30% rise in online visibility within a month.

Head of Analysis at Kaze Digital & Data Ltd (2024-04 – 2025-11)

Led the analytics function for a digital and data consultancy, enabling £1.4M of revenue growth through an insights strategy and delivering £2.4M through the function.

• Facilitated 50+ strategic planning workshops, strengthening continuity and growth strategies across clients.

Head of Data & Analysis at Ministry of Defence (2022-11 – 2024-04)

• Built a decision-tree classification model estimating an affected population of 18,700, reported publicly and relied upon as evidence in live legal proceedings.
• Owned an enterprise data estate of over 3 billion data points and designed the architecture supporting critical analytical tools.
• Implemented independent analytical quality assurance across a team delivering under acute political and legal scrutiny.

Director of Analysis at Decision Support Partnership (2022-08 – 2023-11)

• Designed bespoke analytical methodology and tooling for a major US technology company's Credit and Collections department, forecasting savings of approximately $200,000 per year.
• Deployed iOS applications automating roughly 80% of manual tasks, reducing overheads by around 75%.

Principal Operational Researcher at UK Civil Service (2014-09 – 2022-11)

• Forecasted a 400% five-year rise in demand using Monte Carlo simulation, averting an operational crisis and securing additional Spending Review funding.
• Saved £54M annually through staffing analysis that right-sized requirements, achieving a 50% reduction against the initial forecast.
• Optimised an ammunition supply chain through simulation and logistics modelling, reducing costs by 95%.
• Directed a £5M R&D programme with 27 analysts, championing neurodivergent talent and maintaining psychological safety.
• Coached 50+ junior analysts in R, Python, process modelling, and data visualisation.

MBA – University of Exeter (2025)

PGDip in Strategic Leadership & Management – University of Exeter (2025)

PGCert in Military Operational Research – Cranfield University (2018)

BA (Hons) in Middle Eastern Politics with Economics – University of Exeter (2014)