Causal Inference Scientist for Live Marketplace

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

Job summary

Relay is seeking a Research Scientist to lead causal inference and experimentation across its live, two-sided marketplace. You will measure decision impact on couriers and merchants, develop robust causal models and produce insights that inform Relay’s network-wide optimization.

Candidates should bring deep expertise in causal inference and machine learning, with a PhD or equivalent experience at the frontier of research or industry.

Qualifications

• Deep expertise in causal inference and experimentation.
• Experience applying advanced ML techniques to real marketplaces.
• Ability to productionize models and measure impact in live systems.
• Strong statistical and experimental design foundation.

Responsibilities

• Set the standard for causal inference at Relay.
• Measure how decisions affect couriers and merchants today and over time.
• Shape experimentation across a live, two-sided marketplace.
• Adapt advanced causal inference, statistics and ML techniques to Relay’s problems and bring them to production.
• Partner with Operational Research to embed insights into network-wide optimisation.

Skills

Causal inference

Experimentation

Machine learning

Statistics

Education

PhD in a quantitative field

Job description

Relay is seeking a Research Scientist to lead causal inference and experimentation across its live, two-sided marketplace. You will measure decision impact on couriers and merchants, develop robust causal models and produce insights that inform Relay’s network-wide optimization.

Candidates should bring deep expertise in causal inference and machine learning, with a PhD or equivalent experience at the frontier of research or industry.