GIS Data Scientist; SC Cleared

GIS Data Scientist (SC Cleared)

Location:

London, England – 2‑month contract, 1 day per week in the office.

Day rate: £650–£750 per day. Inside IR35.

We are looking for a GIS Data Scientist to blend spatial analysis, advanced analytics and problem‑solving to turn geospatial data into actionable insights. You will work with large, complex datasets, build predictive models and support data‑driven decisions across the organisation.

• Acquire, clean and manage geospatial datasets from diverse sources (remote sensing, open data, internal systems, APIs).
• Perform spatial analysis, spatial statistics and geoprocessing to support strategic and operational projects.
• Develop predictive models and machine‑learning workflows using spatial and non‑spatial data.
• Build and maintain spatial databases, data pipelines and automated ETL processes.
• Create high‑quality maps, dashboards and visualisations for both technical and non‑technical stakeholders.
• Collaborate with cross‑functional teams to define requirements and deliver geospatial insights.
• Implement QA/QC best practices to ensure accuracy, reproducibility and data governance.
• Stay current with emerging geospatial technologies, standards and research.

• Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (Geo Pandas, GDAL/OGR, Shapely, Rasterio).
• Proficiency in Python and/or R for data science and automation.
• Solid grounding in statistics, spatial analysis and machine‑learning methodologies.
• Experience with spatial databases (PostGIS, Big Query GIS, SQL Server Spatial).
• Ability to communicate complex spatial insights clearly to diverse audiences.
• Experience working with remote sensing and raster datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools – desirable.

• Day rate: £650–£750 per day.
• 2‑month contract with potential extension.
• 1 day per week in the office – Canary Wharf.

Morgan Hunt is an equal opportunities employer. All applicants will be assessed on merit in accordance with the individual’s skills, qualifications and abilities to perform the relevant duties required in a particular role.