Remote GIS Data Scientist/Spatial Analyst

Description:

• Our client is a global leader in climate catastrophe risk modeling, providing advanced solutions to insurers, governments, and financial institutions.
• They offer models covering over 190 countries, delivering high-resolution risk assessments for inland flooding, storm surges, tropical cyclone wind, severe convective storms, and wildfires.
• The company utilizes state-of-the-art probabilistic modeling, which is known for its speed, technical excellence, and transparency.
• As a pioneer in integrating climate change scenarios, their product helps clients enhance resilience and financial sustainability in an increasingly volatile environment.
• Their proprietary financial model enables smarter underwriting, investment, and mitigation strategies.
• The company is committed to transparency, innovation, and customer-centricity, aiming to shape a resilient future for generations to come.

Requirements:

• Candidates must have 5+ years of experience in GIS data science, spatial analysis, or geospatial modeling.
• A strong proficiency in GIS software such as QGIS, ArcGIS, or GDAL is required.
• Expertise in Python and/or R for geospatial analysis is necessary, including experience with libraries such as GeoPandas, Rasterio, Shapely, and Fiona.
• Knowledge of spatial data formats like GeoJSON, shapefiles, and NetCDF, along with best practices for handling large geospatial datasets, is essential.
• Experience with spatial databases such as PostGIS and distributed computing for geospatial analysis is required.
• Excellent communication skills and the ability to work in a collaborative, fast-paced environment are mandatory.

Benefits:

• The position offers flexible work arrangements to accommodate various lifestyles.
• Employees will enjoy a collaborative and supportive team culture.
• A truly competitive salary is provided to attract top talent.
• Help and support from a caring HR team are available to assist employees.