Causal Inference Scientist — Live Marketplace Optimization

Relay; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

Relay is reshaping how goods move in the online era, backed by substantial funding and rapid growth. We seek a leader in causal inference to drive measurement, experimentation, and production-ready ML solutions across a live two-sided marketplace.

You will define standards for causal analysis, collaborate with researchers and engineers, and translate complex insights into scalable actions that impact couriers and merchants.

Qualifications

• Deep expertise in causal inference and experimentation.
• PhD or equivalent publications/industry work.
• Experience applying advanced techniques to real marketplaces or products.
• Ability to translate insights into production-ready models and decisions.

Responsibilities

• Set the standard for causal inference at Relay.
• Measure how our decisions affect each courier, today and over time.
• Shape how the company experiments across a live two-sided marketplace.
• Adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and deploy them to production.
• Partner with Operational Research to embed insights into network-wide optimisation.

Skills

Causal inference

Experimentation

Machine learning

Statistics

Education

PhD

Job description

Relay is reshaping how goods move in the online era, backed by substantial funding and rapid growth. We seek a leader in causal inference to drive measurement, experimentation, and production-ready ML solutions across a live two-sided marketplace.

You will define standards for causal analysis, collaborate with researchers and engineers, and translate complex insights into scalable actions that impact couriers and merchants.