Relay is fundamentally reshaping how goods move in an online era.
Backed by Europe’s largest-ever logistics Series A ($35M) led by deep-tech investors Plural, and a recently closed Series B ($95M), Relay is scaling faster than 99% of venture-backed startups.
We're assembling the most talent-dense team the logistics industry has ever seenRelay’s Mission is to free commerce from friction.
Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate.
We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone.
THE TEAM• ~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• An intellectually vibrant culture of first‑principles thinking, tight feedback loops and relentless experimentationThe OpportunityRelay operates a delivery network that generates rich location and movement data every day.
Understanding that data — and turning it into improvements across the delivery operation — is the focus of this role.
As Staff Data Scientist for Geospatial, you will own the location and movement datasets that underpin Relay's delivery operation, defining how they are built, measured, and evolved.
You will use signals from across the network to build models that make the operation faster and more reliable.
This is a senior individual contributor role.
You will work cross-functionally with Engineering, Operational Research and Data Scientists to integrate your data solutions across the Relay network.
What You'll DoDefine how we measure the quality of our geospatial data: identifying gaps, quantifying their impact on the operation, and prioritising improvements.
Continuously evolve our location datasets.