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Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Senior Data Scientist - Experimentation

Data SciencePosted on Nov 9
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • Bring deep expertise in causal inference, experimentation, and machine learning, demonstrated through a PhD, publications, or years at the frontier in industry.
  • Come from statistics, an experimental science such as biology or psychology, or quantitative research.
  • Have applied advanced techniques to real marketplaces or products and owned the outcome.
  • Think in mechanisms and use evidence to guide decisions.
  • Be able to work with open, interconnected problems and identify meaningful signals.
  • Be able to collaborate and explain complex ideas simply.

Responsibilities

  • Set the standard for causal inference at Relay.
  • Measure how decisions affect each courier, both immediately and over time.
  • Shape how Relay experiments across a live, two-sided marketplace.
  • Adapt advanced techniques in causal inference, statistics, and machine learning to Relay’s problems and take them through to production.
  • Partner with Operational Research to embed insights and models into Relay’s network-wide optimization.
  • Help build Relay’s research culture and voice in the technology community.

About the Company

Relay Technologies

Tech-enabled on-demand e-commerce delivery network

Relay Technologies provides a tech-enabled, on-demand delivery network designed for e-commerce, offering next-day delivery with a focus on efficiency and lower carbon impact. Its API-first platform connects an on-demand fleet of couriers through a hyperlocal network to optimize routes, track parcels in real time, and give retailers end-to-end visibility via interactive dashboards. Unlike traditional carriers, it minimizes touchpoints and infrastructure needs, cutting costs while adapting to demand fluctuations. The company aims to help online retailers scale their delivery capabilities reliably and sustainably, supporting faster shipping, real-time insights, and reduced environmental impact.

Company size
201-500
Company stage
Series A
Total funding
$45M
Headquarters
London, United Kingdom
Founded
2022

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