5 of 5 Remote GeoPandas Jobs

data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results. Experience with geospatial data analysis tools and frameworks, such as ArcGIS, QGIS, GDAL, or GeoPandas, and knowledge of geospatial data formats, standards, protocols, and methods. Proficiency in data science experimentation methods, such as cross validation, regularization, encoding, or activation functions. Other Requirements: Ability to meet … data science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results. Experience with geospatial data analysis tools and frameworks, such as ArcGIS, QGIS, GDAL, or GeoPandas, and knowledge of geospatial data formats, standards, protocols, and methods. Proficiency in data science experimentation methods, such as cross validation, regularization, encoding, or activation functions. Other Requirements: Ability to meet More ❯

skills. • Proximity to our Penryn office in Cornwall, UK. •Experience supporting machine learning workflows, especially for large model training. •Familiarity with handling geospatial datasets and related libraries (e.g., GDAL, GeoPandas, Rasterio). •Familiarity with data cataloguing tools and practices. •Prior experience in a startup or high-growth tech company. •Familiarity with containerisation (Docker), orchestration tools (Airflow, Prefect), and CI/ More ❯

these essential skills: A degree in Geography, Environmental Science, Computer Science, GIS or a related discipline. Experience in geospatial data analysis and management using tools such as Python (e.g. GeoPandas, Rasterio, Xarray), GDAL, QGIS, and geospatial databases (e.g. PostGIS) Experience in designing, developing and maintaining automated data workflows that implement best practices of geospatial data management Demonstrable knowledge of software More ❯

working with large geospatial raster and vector datasets, including Earth Observation or climate data. Proficiency with processing large, complex datasets using Python-based geospatial tools (xarray, numpy, scipy, dask, geopandas, OGR, GDAL). Strong quantitative skills with the ability to extract insights from spatial data. Familiarity with modelling concepts from hydrology, atmospheric sciences, or environmental sciences. Desirable Skills Experience with More ❯

Problem-solving skills Demonstrable capability to ensure accuracy in manipulating, analysing, and presenting data, with excellent attention to detail Strong background in statistics or econometrics Spatial data statistics (e.g. Geopandas/Open Street Map) Knowledge of python or R desirable Personal skills suited to working within a professional yet friendly and dynamic team environment Self-motivated with the ability to More ❯