Relay is building a causal inference–led data science function to improve decisions across its live two-sided marketplace. As Staff Applied Scientist, you will lead causal inference initiatives, measure the impact of decisions on couriers over time, and drive production‑grade models that inform network‑wide optimisation.
You will collaborate with Operational Research and ML teams, explore advanced methods, and help shape Relay's research culture while thriving in an intellectually vibrant
Staff Scientist, Causal Inference for Live Marketplaces employer: Relay
Relay is an exceptional employer, offering a dynamic work environment at our London Sort Centre where innovation meets operational excellence. With a strong focus on employee growth and development, we foster a culture of collaboration and continuous improvement, ensuring that every team member has the opportunity to contribute to our mission of transforming logistics. Our commitment to diversity and inclusion, combined with competitive benefits and a fast-paced, intellectually stimulating atmosphere, makes Relay a truly rewarding place to work.
