GIS Specialist

This role is part of Aon Impact Forecasting team, a team of scientists, developers and client services colleagues together developing and supporting catastrophe models for various perils including flood, windstorm, earthquake, wildfire or terrorism.

GIS Specialist at Aon Impact Forecasting

We are looking for a GIS Specialist to join our Impact Forecasting Wildfire team. The role focuses on geospatial data, analysis, and tooling related to wildfire and weather-based modeling and strengthening our geospatial capabilities for wildfire and related perils. The ideal candidate combines strong GIS and programming skills with either existing wildfire experience or a strong interest in developing it.

What the day will look like

• Support and improve geospatial components of wildfire and hazard workflows, including handling, and processing large datasets
• Develop, test, and maintain GIS/data pipelines in Python, automating spatial processing and quality checks QGIS and similar tools
• Work with wildfire and weather data to support model development and geospatial implementation of new methods
• Contribute to how the fuels, topography and built environment patterns are represented in models

How this opportunity is different

This is an engaging role in a dynamic, friendly team where you can build focused expertise through continuous international training and potential travel. At Aon, a global leader in reinsurance with regional headquarters in central Prague, you’ll work with colleagues around the world in an environment that values integrity, authenticity, and a can‑do approach. We offer flexible working, home office options, and an attractive benefits package including pension contributions, in‑office massages, language courses, ergonomic desks, sick days, and more.

Skills and Experience That Will Lead to Success

• University Degree in geography, GIS, environmental science, geoscience, or a closely related field and relevant working experience
• Strong hands‑on GIS experience (required), and working with large raster/vector datasets, projections, and spatial analyses
• Strong programming/scripting skills (required), preferably in Python, with reproducible pipelines and version control
• Interest or experience in wildfire risk is a plus, including basic wildfire behavior concepts and willingness to deepen wildfire expertise
• Experience with geospatial data in HPC or cloud environments, SQL or other databases, or AI or machine learning for spatial or environmental data is an advantage

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