Zego

Senior Data Scientist - Telematics

🇬🇧 London, Reino Unido Híbrido TI Tempo inteiro Sénior Publicado Jun 10, 2026
Localização London, Reino Unido
Modalidade Híbrido
Contrato Tempo inteiro
Senioridade Sénior
Categoria TI
Categoria IT Data Science e ML
Idioma English
Publicado 10 de Junho de 2026
Última verificação 11 de Junho de 2026
Contexto da JobGrid

Resumo da vaga pela JobGrid

Senior Data Scientist - Telematics at Zego: London, Reino Unido; Híbrido; Tempo inteiro; Sénior; TI. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: London, Reino Unido, Híbrido
  • Role classification: TI, Data Science e ML, Tempo inteiro, Sénior
  • Source freshness: checked by JobGrid on 2026-06-11.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

About the Team

We don't build pricing models, we build the driving intelligence that feeds them. Our mission is fairer insurance, priced on how people drive, not on who they are, and safer roads.

The Telematics team turns raw phone sensor data into meaningful signals about how people drive. Using signal processing and machine learning on high-frequency GPS, accelerometer, and gyroscope data, we extract the behavioural features that power Zego's understanding of driving quality, context, and risk.

The Telematics Data Science team collaborates daily with engineering, product, and actuarial colleagues across the UK and PT. We're one team across Portugal and the UK. PT and UK roles carry the same scope, ownership, and progression. Decisions get made where the work happens, not in a single headquarters. This isn't a solo remote seat; you'll join an established team of peers.

About the Role

Few teams use phone sensor data to price commercial motor insurance at scale. As a Senior Data Scientist, you'll shape how millions of trips are turned into risk signals. You'll own behavioural features and algorithms from hypothesis to production, working at the intersection of data science and engineering on GPS, inertial, and other sensor data.

You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks.