Quantitative Researcher, Optimisation

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe’s largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M), Relay is scaling faster than 99% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay’s Mission is to free commerce from friction . Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people , making the online shopping experience seamless and accessible to everyone. THE TEAM • ~160 people , around half in engineering, product and data • 45+ advanced degrees across computer science, mathematics and operations research • Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle • An intellectually vibrant culture of first‑principles thinking , tight feedback loops and relentless experimentation Millions of parcels, thousands of couriers, and routing, pricing and scheduling decisions needed in real time and under uncertainty. Relay's last mile is a growing optimisation problem that never sits still. Relay's in-house solver has carried the business through more than 100x growth, built by a team of Operational Research Scientists who designed the decision architecture the network runs on. You'll join them and take it further. Optimisation Highlights An in-house solver, built and owned by our own Operational Research team, running live at scale. Routing, pricing and scheduling decisions made in real time and under uncertainty. ML and recommender intelligence integrated into the decision models. A flexible network: pitstops can change, warehouse automation can be reconfigured, and new processes roll out overnight. The Opportunity As a Quantitative Researcher at Relay, you'll: Lead optimisation for Relay's last mile, making the best routing, pricing and scheduling decisions for couriers and the wider network. Model and optimise the decisions that define our last-mile delivery network and marketplace. Develop our solvers and algorithms so they perform live, and at scale. Partner with other Scientists to unite ML and recommender systems with Operational Research. Raise the standard for Operational Research at Relay, and grow the team, the research culture and our voice in the tech community. We're looking for candidates who… Bring deep expertise in operational research, whether from a PhD, publications, or years at the frontier in industry. Come from operational research or industrial engineering, or from an advanced quantitative discipline, including trading, that has branched into optimisation. Have built optimisation systems or ML models that run in production, and owned the outcome. Are energised by large, messy problems, and know how to bring structure to them. Collaborate generously, and explain compl