Relay

Logistics

StaffDataScientist-Geospatial

London, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Data Scientist - Geospatial at Relay. Skills: Geospatial data, Location data, Movement data, Data modeling, Data product development, Cross-functional collaboration. Own the location and movement datasets. Define how geospatial data is built, measured, and evolved”

What You'll Achieve.

Make the operation faster and more reliable; Add value across the business

Industry & Context.

Logistics
Problems you'll solve

Complex problems with high impact; Problem decomposition

What They're Looking For.

Must Have

Deep experience with geospatial data, telemetry, or GPS trace processing

Nice to Have

GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified

What You'll Do.

Own the location and movement datasets

Define how geospatial data is built

Build models to make the operation faster and more reliable

Define how data quality is measured

Quantify the impact of data gaps on the operation

Prioritize data quality improvements

Continuously evolve location datasets

Own the technical strategy and roadmap for geospatial data solutions

Partner with engineering to productionize and integrate solutions

Build observability into pipelines

Build reusable data products

Define core metrics that add value across the business

Coach and mentor other data scientists

How You'll Work.

Team & Collaboration

Work cross-functionally with Engineering, Operational Research and Data Scientists; Integrate data solutions across the Relay network; Invest in your teammates; Give and receive feedback with care and candour; Build trust through high standards and shared success

Communication Scope

Clear problem definition; Meticulous impact measurement; Candour

Full Job Description

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 (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% 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 • ~110 people, more than 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

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