Staff Data Science

Data Idols

London

8 months ago

Applications closed

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Staff Data Scientist

Salary: £110,000 - £130,000

Data Idols are working with a high-growth InsurTech to hire a Staff Data Scientist who will lead the design and delivery of geospatial and telematics data products. This is a rare zero-to-one build opportunity, where your expertise will directly shape the company's future data capabilities and have a measurable impact on business performance.

The Role

You'll take ownership of modelling and analysing telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You'll be working with clean, structured sensor and movement data, including accelerometer, GPS, and signal data, and developing models that deliver direct commercial and customer value.

This role is the most senior individual contributor position within the data team, making you the technical authority on geospatial data science, modelling approaches, and best practices.

What You'll Do

Build and deploy advanced geospatial and telematics models from the ground up
Design data products that optimise movement patterns and reduce inefficiencies
Lead technical direction as the most senior IC
Work with product and engineering partners to deliver production-ready solutions
Ensure models deliver measurable impact across efficiency and experience

What We're Looking For

Proven expertise in geospatial, telematics, or spatial data science
Strong experience building and deploying end-to-end data products in production
Excellent skills in modelling movement, sensor, and GPS datasets
Track record of operating at a senior IC level, setting technical standards
Experience in high-growth or data-first environments is desirable

Package & Benefits

Up to £130K
Equity and performance-based equity bonuses
Private healthcare
Pension contributionIf you're a Staff Data Scientist with deep expertise in geospatial and telematics data and want to build a new product from scratch in a scaling InsurTech, we'd love to hear from you.

Staff Data Scientist

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