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Staff Data Scientist

Data Idols
London, United Kingdom
Today
£120,000 – £140,000 pa

Salary

£120,000 – £140,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
14 May 2026 (Today)

Benefits

Equity
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Staff Data Scientist

£120K - £140K + Equity

London Hybrid

At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data Scientist to lead the development of geospatial and movement intelligence products that sit at the heart of the business.

The Opportunity

This is a highly strategic individual contributor role focused on geospatial data, routing intelligence and operational optimisation. You will own the roadmap and technical direction for a critical data product area, helping the business better understand movement patterns, improve operational efficiency and build intelligent systems powered by real-world geographic data.

You will work closely with Engineering, Product, Operational Research and Data Science teams, building scalable datasets, production-grade models and reusable data products used across the organisation. This role suits someone who enjoys solving ambiguous technical problems, working with large-scale operational datasets and building products that directly influence business performance.

Skills and experience

Strong Python and SQL skills

Experience working with geospatial, routing or movement-related data

Experience building production-grade data products or ML systems

Strong stakeholder management and communication skills

Experience working with large, complex or unstructured datasets

Experience operating in fast-moving environmentsIf you are looking for a new challenge and want to work on complex real-world data problems where your work directly influences operational performance and product strategy, please submit your CV for initial screening and further details.

Staff Data Scientist

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