Staff Data Scientist - Geospatial

About this role

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 seen Relay’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 experimentation The Opportunity Relay 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 Do Define 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. Own the technical strategy and roadmap for Relay's geospatial data solutions.

Partner with engineering to productionise and integrate solutions into the delivery operation. Build observability into pipelines so that degradation in data quality is detected, understood, and acted upon. Build reusable data products and define core metrics that add value across the business. Coach and mentor other data scientists on technical approach, production standards, and problem decomposition. Who Will Thrive in This Role? You have deep experience with geospatial data, telemetry, or GPS trace processing.