Lead Data Scientist, Geospatial & Environmental Analytics

Natural England; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Natural England invites applications for data science roles within its Marine or terrestrial geospatial analysis and data management teams. The role focuses on leading standard data and spatial analyses, ensuring robust data standards and documentation, and coordinating with project managers to deliver high-quality outputs for diverse stakeholders.

Candidates will have experience in Python, R and GIS software, and a track record of planning, leading and delivering complex data projects while

Qualifications

• Experience of planning and leading the delivery of projects.
• Data extraction/ingestion and preparation, exploratory data analysis, and data visualisation.
• Working with a range of large scale spatial and non-spatial data types.
• Experience with biological, geographical and social data.
• Knowledge of data/metadata standards.
• Experience of GIS software such as ArcGIS/ArcGIS Online/QGIS.

Responsibilities

• Lead and oversee standard data and spatial analyses.
• Ensure project data standards, processes and systems are followed and outputs are robust.
• Liaise with project managers to establish planning and resourcing for delivery.
• Demonstrate data governance and quality assurance for analysis work.
• Contribute to developing digital tools and dashboards where relevant.

Skills

Data analysis

Spatial analysis

Project planning

People leadership

Data visualisation

Python/R

GIS software

Statistical methods

Data extraction/ingestion

Tools

FME

ArcGIS

QGIS

Python

R

GitHub

Job description

Natural England invites applications for data science roles within its Marine or terrestrial geospatial analysis and data management teams. The role focuses on leading standard data and spatial analyses, ensuring robust data standards and documentation, and coordinating with project managers to deliver high-quality outputs for diverse stakeholders.

Candidates will have experience in Python, R and GIS software, and a track record of planning, leading and delivering complex data projects while