Staff Data Scientist

Data Idols
London
2 months ago
Create job alert
Base pay range

Salary: £110,000 - £130,000


Role

Data Science & Engineering Recruitment / Event Organiser at Data Science Festival. Staff Data Scientist — lead the design and delivery of geospatial and telematics data products. This is a zero-to-one build opportunity to shape the company\'s future data capabilities and have a measurable impact on business performance.


The Role

You will own modelling and analysis of telematics and geospatial datasets at scale, building products that optimise real-world movement, routing, and timing challenges. You will work with clean, structured sensor and movement data (including accelerometer, GPS, and signal data) to develop models that deliver direct commercial and customer value. This is the most senior individual contributor position within the data team, serving as 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
  • Collaborate 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 contribution

Desired Skills and Experience

Telematics | Geospatial


Seniority level

  • Senior Data Scientist (Staff)

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Data Infrastructure and Analytics


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