CareerPlan

Senior Data Scientist, Experimentation

London - HybridFull-time2026-11-09 → 2026-11-10

Core

Lead causal inference and experimentation to measure the impact of dynamic decisions on couriers and optimize a live two-sided marketplace for parcel delivery.

Role type

Senior IC data scientist (causal inference & experimentation)

Builds

Causal inference models and experimental frameworks for network-wide optimization

Domain

Logistics / E-commerce / Marketplace

Deliverable

production ML models

Required skills

causal inference, experimentation design, machine learning, statistics, mechanism-based thinking, long-term outcome analysis

Preferred skills

PhD in statistics/experimental science, publications, experience in frontier industry

Technologies

N/A

Responsibilities

Set the standard for causal inference at Relay; measure decision impacts on couriers today and over time; shape experimentation across the live marketplace; adapt advanced techniques to production; partner with Operational Research for network optimization

Seniority

Senior, hands-on IC