Statistical Modeler in Wildfire Team

Aon
Prague
Workplace: OnsiteFull timeFunction: Administration & Executive AssistanceEducation: bachelorsSkills: ["Collaboration","Documentation","Model validation","Problem-solving"]

Build and validate statistical and machine learning models for wildfire impact forecasting within Aon’s Impact Forecasting team. Contribute to design, analysis, and verification of modeling methods against historical observations, working with scientists, GIS specialists, and engineers. Handle large datasets with Python/R, Git-based modern development practices, and apply advanced techniques such as spatial, time series, and extreme value modeling while documenting results for internal and client-facing audiences.

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FursaFursa
Aon
Aon
6 days ago

Statistical Modeler in Wildfire Team

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Build and validate statistical and machine learning models for wildfire impact forecasting within Aon’s Impact Forecasting team. Contribute to design, analysis, and verification of modeling methods against historical observations, working with scientists, GIS specialists, and engineers. Handle large datasets with Python/R, Git-based modern development practices, and apply advanced techniques such as spatial, time series, and extreme value modeling while documenting results for internal and client-facing audiences.
Location: Prague
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Contribute to the design, analysis, and validation of statistical and machine learning models, ensuring robust and transparent methods and outputs.
  • •Develop and maintain statistical and ML models using Python, R, and modern development practices/tools (including Git and AI-assisted coding).
  • •Handle large and complex datasets, including cleaning, feature engineering, exploration, and diagnostics.
  • •Apply and adapt advanced methods (spatial, time series, extreme value models) and integrate them into modeling workflows with scientists, GIS specialists, and engineers.
  • •Validate and verify studies against historical observations and document findings for internal and client-facing audiences.
Travel: Low travel

Pay and Benefits

Perks:PensionLanguage CoursesErgonomic DesksSick Days

Key Requirements

  • •University degree in statistics, applied mathematics, or a related field, with a strong foundation in probability, inference, and statistical modeling.
  • •Proficient programming skills in Python and/or R, writing efficient, readable code using modern tooling (e.g., Git, GitHub, AI-assisted coding tools).
  • •Experience applying modern machine learning methods with an understanding of appropriate use and limitations.
  • •Ability to work with large datasets and data pipelines using tools such as pandas/data.table and SQL (or similar databases).
  • •Preferred: experience with spatial statistics, extreme value analysis, and/or GIS/geospatial work.
Education:Bachelor's in statistics, applied mathematics
Skills:CollaborationDocumentationModel validationProblem-solving
Languages:English
Tech Stack:PythonRGitGitHubPandasData.tableSQLGISSpatial statisticsTime series analysisExtreme value analysis

Company Brief

Aon
Global professional services firm providing risk, retirement, human resources, and insurance brokerage solutions to clients worldwide, including consulting, reinsurance, and data-driven risk management services.
Industry: Insurance
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1982
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Glassdoor: 3.9
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