Quantitative Researcher, Causal Inference – Marketplace

Relay Technologies; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Relay Technologies in London is hiring a Quantitative Researcher to lead causal inference and experimentation across a live two‑sided marketplace.

You will measure how decisions affect couriers and customers, adapt advanced causal inference, statistics and ML techniques, and partner with Operational Research to embed insights into network‑wide optimisation. The role combines rigorous research with production‑ready delivery, within an data‑driven culture.

Formación

• Bring deep expertise in causal inference, experimentation and machine learning, whether from a PhD, publications, or years at the frontier in industry.

Responsabilidades

• Set the standard for causal inference at Relay.
• Measure how our decisions affect each courier, today and over time.
• Shape how Relay experiments across a live, two-sided marketplace.
• Adapt advanced techniques across causal inference, statistics and machine learning to Relay's problems, and see them through to production.
• Partner with Operational Research to embed your insights and models into Relay's network-wide optimisation, and help build our research culture and voice in the tech community.

Conocimientos

Causal inference

Experimentation

Machine learning

Statistics

Educación

PhD or equivalent

Descripción del empleo

Relay Technologies in London is hiring a Quantitative Researcher to lead causal inference and experimentation across a live two‑sided marketplace.

You will measure how decisions affect couriers and customers, adapt advanced causal inference, statistics and ML techniques, and partner with Operational Research to embed insights into network‑wide optimisation. The role combines rigorous research with production‑ready delivery, within an data‑driven culture.