Data Scientist (Geospatial)

Responsibilities

• Machine Learning Solution Design
• Design end-to-end machine learning architectures that support geospatial analytics and demand forecasting use cases, including the organisation’s Spatial Modelling Engine.
• Define robust, maintainable, and extensible data pipelines, feature engineering strategies, and model-serving frameworks.
• Ensure that architectural decisions account for the long-term nature of infrastructure planning, where model outputs must remain interpretable and auditable over multi-year periods.

• Machine Learning Development and Implementation
• Develop, test, and deploy machine learning models and geospatial analytics solutions within a production environment.
• Build and maintain data pipelines that integrate a variety of data sources, including housing development information, demographic records, mi...