Scientific Researcher In Risk Modelling

Elevate home insurance solutions as a Research Scientist at Chelsea Avondale's Skynet Software. This role centers on creating advanced models for catastrophic events and leveraging your expertise in Python coding.

We're searching for a candidate with a proven track record in Applied Mathematics or Physics to contribute to our research and development team. You'll engage in creating reliable hazard models, conduct extensive data analysis, and validate results to support creative insurance solutions. Collaboration with top-tier scientists will empower your contributions to critical projects.

• Engage with a diverse team on natural hazard modelling
• Conduct data cleaning and model implementation cycles
• Use Python to develop productive scientific code
• Analyze results and calibrate individual model components
• Synthesize data from remote sensing and weather information

• Robust academic background: BSc, MSc, or PhD
• Proven experience writing scientific code in Python
• Understanding of optimization and differential equations
• Familiarity with multi-dimensional datasets analysis
• Experience post-PhD related to catastrophe modelling is a plus

Drive innovation in insurance through your scientific research at Skynet Software.

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