Senior Data Scientist - Causal Inference for Marketplaces

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

Job summary

Relay is building a data-driven logistics platform where causal inference and machine learning guide decision-making across a two-sided marketplace. You will lead the causal inference program, measuring effects on couriers and customers, and shaping experimentation at scale.

This role blends advanced statistics with production-ready deployment and close collaboration with operations research teams. We value candidates with PhDs, publications, or industry experience at the frontier, who can

Qualifications

• Deep expertise in causal inference, experimentation and ML.
• Experience applying advanced techniques to real marketplaces or products.
• PhD, publications, or frontier industry experience is valued.
• Ability to communicate complex ideas simply to non-technical audiences.

Responsibilities

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

Skills

Causal inference

Experimentation

Machine learning

Statistical analysis

Education

PhD in a quantitative field

Job description

Relay is building a data-driven logistics platform where causal inference and machine learning guide decision-making across a two-sided marketplace. You will lead the causal inference program, measuring effects on couriers and customers, and shaping experimentation at scale.

This role blends advanced statistics with production-ready deployment and close collaboration with operations research teams. We value candidates with PhDs, publications, or industry experience at the frontier, who can