Research Scientist, Causal Inference

ERLPhase Power Technologies Ltd.

. Set the standard for causal inference at Relay .

Posted 11/9/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in causal inference, experimentation, and machine learning, with a strong background in statistics or quantitative research. Capable of applying advanced techniques to real-world marketplaces while fostering a collaborative research culture.

Highest-signal resume keywords

Causal InferenceExperimentationMachine LearningStatisticsQuantitative Research

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceExperimentationMachine LearningStatisticsQuantitative ResearchAdvanced TechniquesData AnalysisModel DevelopmentOutcome OwnershipEvidence-Based Decision Making

Soft Skills

CollaborationCommunicationComplex Idea ExplanationGenerosity in CollaborationCritical Thinking

Industry Keywords

Marketplace OptimizationOperational ResearchResearch CultureInterconnected ProblemsSignal Identification

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Deep expertise in causal inference, experimentation and machine learning, whether from a PhD, publications, or years at the frontier in industry
Background in statistics, an experimental science such as biology or psychology, or quantitative research
Applied advanced techniques to real marketplaces or products and owned the outcome
Ability to think in mechanisms and let evidence guide decisions
Ability to work with open, interconnected problems and identify meaningful signals
Ability to collaborate generously and explain complex ideas simply