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Research Scientist

Chelsea Avondale

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Original Job Summary

About Chelsea Avondale

Chelsea Avondale is the world’s most cutting edge home insurance group. They have developed sophisticated risk modelling and platform technologies for home insurance and deploy that technology through their own insurance company.

The organization is comprised of a scientific research & engineering division (Skynet Software) and a Canadian property & casualty insurance company (Max Insurance), working together to transform the Canadian and global insurance landscape.

Role Overview: Research Scientist

Join the cornerstone of Skynet Software to work alongside a team of established scientists and engineers. This role involves contributing to the scientific and technological development of severe natural hazard models including wildfire, flood, and windstorms.

  • Collaborate with a diverse team in modelling and research.
  • Develop and implement severe natural hazard models.
  • Lead development cycle from data cleaning through implementation.
  • Evaluate scientific literature and consult industry experts.
  • Utilize Python libraries to write fast, modular scientific code.
  • Manage priorities and deadlines independently.
  • Calibrate, validate, and benchmark model components.
  • Research and enhance various datasets including satellite imagery and GIS data.

Key Skills/Competency

  • Risk Modelling
  • Python
  • Data Analysis
  • Mathematical Modelling
  • Numerical Methods
  • Optimization
  • GIS
  • Statistical Evaluation
  • Monte Carlo Simulation
  • Catastrophe Modelling

How to Get Hired at Chelsea Avondale

🎯 Tips for Getting Hired

  • Tailor your resume: Match your skills to risk modelling and Python.
  • Highlight research experience: Emphasize your academic and industry work.
  • Prepare technical examples: Showcase projects in numerical solutions.
  • Research Chelsea Avondale: Understand company culture and recent projects.

📝 Interview Preparation Advice

Technical Preparation

Review Python scientific libraries documentation.
Practice numerical analysis and differential equations.
Study geospatial data processing techniques.
Revisit Monte Carlo simulation concepts.

Behavioral Questions

Describe teamwork on research projects.
Explain your problem-solving approach.
Discuss managing deadlines under pressure.
Provide examples of independent project management.