Data science jobs in Environmental Services industry

Data Science in Environmental Services

Environmental organisations use data science for pollution monitoring, species distribution modelling, climate impact forecasting, waste stream optimisation, and satellite imagery analysis for land use change detection.

Common roles

Environmental data scientists, geospatial ML researchers, climate modelling analysts, and remote sensing engineers are active roles across environmental consultancies, NGOs, and government agencies.

Key skills

Python, R, geospatial libraries (GDAL, Rasterio, GeoPandas), remote sensing data processing, time-series environmental monitoring, and experience with earth observation platforms (Google Earth Engine) are core.