Senior Data Scientist — Causal Inference for Live Marketplaces

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

Job summary

Relay in London is seeking a Senior Data Scientist to own causal inference across a live two-sided marketplace. You will set standards for causal methods, measure how decisions affect couriers today and over time, and drive experimentation across the network.

You will translate complex models into production-ready insights, collaborating with operations research and data teams to optimise outcomes for merchants and couriers.

Qualifications

• Background in statistics or quantitative research.
• Experience applying advanced ML techniques to real marketplaces or products.
• Ability to reason in mechanisms and let evidence guide decisions.
• Strong collaboration and communication within cross-functional teams.

Responsibilities

• Set the standard for causal inference at Relay.
• Measure how decisions affect couriers today and over time.
• Shape experimentation across a live, two-sided marketplace.
• Translate insights into production-ready models and decisions.
• Collaborate with Operational Research to embed insights into network-wide optimisation.

Skills

Causal inference

Statistics

Experiment design

Machine learning

Quantitative research

Education

Statistics or quantitative degree

Job description

Relay in London is seeking a Senior Data Scientist to own causal inference across a live two-sided marketplace. You will set standards for causal methods, measure how decisions affect couriers today and over time, and drive experimentation across the network.

You will translate complex models into production-ready insights, collaborating with operations research and data teams to optimise outcomes for merchants and couriers.