Staff Geospatial Data Scientist - Impact Delivery Ops

Relay; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Private health & dental

25 days holiday

Parental leave

Hardware of your choice

Gym subsidies

Cycle-to-work

Friday office lunch

Uber home

Job summary

Relay is seeking a Staff Data Scientist for Geospatial in London to own location and movement datasets that underpin its delivery network. You will build models from network signals to improve speed and reliability and work cross-functionally to integrate solutions into Relay's operations.

This senior IC role emphasizes ownership of geospatial data products, observability, and collaboration with Engineering, Operational Research, and Data Science teams.

Qualifications

• Experience with geospatial data, telemetry, or GPS processing.
• Strong interest in maps and urban geography.
• Ability to own a production data product end-to-end and ensure observability, testing, and incident response.

Responsibilities

• Define how we measure geospatial data quality and prioritise improvements.
• Evolve location datasets and maintain data quality signals.
• Own strategy and roadmap for geospatial data solutions.
• Collaborate with engineering to productionise data solutions.
• Build observability into data pipelines to detect degradation.
• Create reusable data products and core metrics for the business.
• Coach other data scientists on approach and production standards.

Skills

Geospatial data

GPS trace processing

Telemetry data

Data science

Production data products

Job description

Relay is seeking a Staff Data Scientist for Geospatial in London to own location and movement datasets that underpin its delivery network. You will build models from network signals to improve speed and reliability and work cross-functionally to integrate solutions into Relay's operations.

This senior IC role emphasizes ownership of geospatial data products, observability, and collaboration with Engineering, Operational Research, and Data Science teams.