Negotiable
Inside
Hybrid
Croydon, Surrey, UK
Summary: The Data Scientist role focuses on building models that have a direct impact on live fleet operations, utilizing applied machine learning techniques on time-series and geospatial data. The position offers end-to-end ownership from modeling to deployment within a high-volume, real-time operational data environment. This hybrid role is based in Croydon, Surrey, UK, and is classified as inside IR35.
Key Responsibilities:
- Build models that directly influence live fleet operations
- Focus on applied machine learning techniques including time-series and geospatial data
- Handle complex systems with high-volume, real-time operational data
- Take end-to-end ownership from modeling to deployment
Key Skills:
- Experience in machine learning and data modeling
- Proficiency in handling time-series and geospatial data
- Ability to work with high-volume, real-time data systems
- Strong problem-solving skills and autonomy in project ownership
Salary (Rate): undetermined
City: Croydon
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Location: Hybrid (London, UK)
Contract Duration: Initial 612 months
Rate: Competitive
Why this role?
- Real-World Impact: Build models that directly influence live fleet operations
- Applied ML Focus: Time-series, geospatial data, optimisation problems
- Complex Systems: High-volume, Real Time operational data
- Autonomy: End-to-end ownership from modelling to deployment
About the Role
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