Senior Data Scientist, Personalisation

Relay is reshaping how goods move in an online era by reducing high delivery costs that limit e-commerce. The Science team, which combines machine learning, operational research, recommender systems, causal inference, location intelligence and experimentation, decides how every parcel gets delivered. The role focuses on building a recommender that matches thousands of couriers, who choose their own days, to the work they want, while staying feasible for the whole network and factoring in price, personalisation and optimisation.

Responsibilities

Set the standard for recommender systems at Relay; Lead the evolution of Relay's recommender from research to production; Design and build the recommender systems that power Relay's key decisions; Partner with Operational Research to unite recommender models and optimisation; Contribute to Relay's research culture, and develop our voice in the tech community

Requirements

Have built recommender systems at scale, owned them in production, and led their direction; Bring deep expertise in recommender systems, reinforcement learning and LLMs, whether from a PhD, publications, or years at the frontier in industry; Think in experiments, and let evidence guide decisions; Are energised by open-ended problems, and know how to make them tractable; Collaborate generously, and explain complex ideas simply