Causal Inference Scientist for Live Marketplaces

Relay; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Relay is seeking a Research Scientist to lead causal inference across its dynamic logistics network. You will design experiments, measure impacts on couriers and customers, and drive productionized insights that improve Relay’s end-to-end efficiency.

Candidates bring a strong foundation in causal inference, statistics or ML, with PhD/ Publications or industry experience in frontier research. The role emphasizes collaboration with OR and data teams and impact across the network.

Qualifications

• Deep expertise in causal inference, experimentation and machine learning, evidenced by publications or work at the frontier.
• Background in statistics or quantitative research with marketplace or product experience.
• Applied techniques to real marketplaces and owned outcomes.

Responsibilities

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

Skills

causal inference

experimentation

machine learning

mechanism thinking

signal detection

Education

PhD or equivalent

Job description

Relay is seeking a Research Scientist to lead causal inference across its dynamic logistics network. You will design experiments, measure impacts on couriers and customers, and drive productionized insights that improve Relay’s end-to-end efficiency.

Candidates bring a strong foundation in causal inference, statistics or ML, with PhD/ Publications or industry experience in frontier research. The role emphasizes collaboration with OR and data teams and impact across the network.