CareerPlan

Senior Data Scientist, Personalisation

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

Core

Building and leading recommender systems that match thousands of couriers to delivery routes, balancing courier preferences against physical network constraints and economics.

Role type

Senior IC machine-learning engineer (recommender systems & optimization)

Builds

Large-scale recommender systems powering courier route assignment and delivery optimization

Domain

Logistics / Operations Research / Machine Learning

Deliverable

production ML models

Required skills

recommender systems, reinforcement learning, LLMs, causal inference, operational research, experimentation design, large-scale optimization

Preferred skills

PhD in CS/Math/OR, publications in top venues, experience at frontier tech companies

Technologies

Python, PyTorch, TensorFlow, Spark, Kubernetes, AWS/GCP

Responsibilities

Set the standard for recommender systems at Relay, lead the evolution of the recommender from research to production, design and build recommender systems for key decisions, partner with Operational Research to unite models and optimization, contribute to research culture and tech community voice