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Principal Economist
Contract type
Ongoing
Work mode
Hybrid · London - Hybrid
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Principal Economist at Relay responsible for owning courier pricing and pay policy across its delivery marketplaces, applying economic theory and causal inference to a live two-sided marketplace.
At a glance
- Work mode
- Hybrid · London - Hybrid
What you'll do
- Own courier pricing and pay policy: how work is priced, how couriers are paid, and how incentives are set across our marketplaces
- Apply economic theory to a live marketplace: model supply, demand and courier behaviour, and design pricing and incentive mechanisms that hold up in the real network
- Measure what every pricing and pay change did, working with Applied Scientists and experimenting across a live two-sided marketplace
- Partner with Operational Research and Recommender Systems so price is set as part of the recommendation, not after it
- Advise leadership on pricing and incentives, and help build Relay's research culture and voice in the tech community
What we're looking for
- Have a PhD in economics, and have applied it in a tech marketplace such as ride-hailing, delivery or a gig platform
- Have advised leadership on pricing or incentive decisions, and seen those decisions through to what happened next
- Are deeply skilled in econometrics and causal inference
Your team
Science
Brings operational research, machine learning, causal inference and economics together to optimise the whole network rather than one decision at a time.
Apply
About Relay
Relay is a marketplace for delivery work. Every day, 400,000 parcels move through our network, carried by couriers who choose when and how they work, across four marketplaces, each with its own app and its own economics.
Mission
To free commerce from friction
Key facts
- ~160 people
- logistics
- Backed by Europe's largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M)
- Scaling faster than 99% of venture-backed startups
- ~160 people, around half in engineering, product and data
- 45+ advanced degrees across computer science, mathematics and operations research
- Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle
- 400,000 parcels move through our network every day
- Four marketplaces, four apps, each with its own economics
Partners & customers
Plural
What they value
- Tight feedback loops
- Relentless experimentation
