Senior OR Scientist — Last-Mile Optimisation

Relay Technologies; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Relay Technologies in the United Kingdom seeks a Senior Operational Research Scientist to lead optimization for the last mile, improving routing, pricing and scheduling across the network. You will model decisions, build scalable solvers, and combine ML with OR to enhance performance.

You will work with a team of researchers and engineers who value first‑principles thinking, experimentation, and practical impact in a fast‑growing logistics platform.

Qualifications

• Deep expertise in operational research, from PhD, publications, or frontier industry work.
• Background in OR/industrial engineering or quantitative disciplines with optimization focus.
• Experience building optimization systems or ML models in production.
• Ability to tackle large, messy problems and bring structure.
• Strong collaboration and clear communication.

Responsibilities

• Lead optimization for Relay's last mile, optimizing routing, pricing and scheduling.
• Model and optimize decisions defining the last-mile network and marketplace.
• Develop solvers and algorithms for live, scalable performance.
• Collaborate with scientific colleagues to merge ML with OR approaches.
• Help grow the research culture and contribute to the tech community.

Skills

Operational Research

Optimization

Machine Learning

Production systems

Quantitative modelling

Education

PhD in Operational Research, Industrial Engineering, or related field

Tools

Python

Gurobi / OR solvers

SQL / data tooling

Job description

Relay Technologies in the United Kingdom seeks a Senior Operational Research Scientist to lead optimization for the last mile, improving routing, pricing and scheduling across the network. You will model decisions, build scalable solvers, and combine ML with OR to enhance performance.

You will work with a team of researchers and engineers who value first‑principles thinking, experimentation, and practical impact in a fast‑growing logistics platform.