Chelsea Avondale
Insurance • Science • Artificial Intelligence
Chelsea Avondale is a company that focuses on revolutionizing property and casualty (P&C) insurance through scientific underwriting and advanced risk technology. They have developed Skynet, a precise risk technology platform that analyzes the scientific principles causing insurance claims, rather than relying on traditional grouping of common risks. By re-engineering pricing and risk evaluation processes, Chelsea Avondale aims to lower loss ratios and achieve rapid organic growth in the insurance industry. The company's culture is driven by a commitment to scientific accuracy and innovation.
1 - 10 employees
Founded 2016
🔬 Science
🤖 Artificial Intelligence
Research Scientist
Job not on LinkedIn
September 29
Chelsea Avondale
Insurance • Science • Artificial Intelligence
Chelsea Avondale is a company that focuses on revolutionizing property and casualty (P&C) insurance through scientific underwriting and advanced risk technology. They have developed Skynet, a precise risk technology platform that analyzes the scientific principles causing insurance claims, rather than relying on traditional grouping of common risks. By re-engineering pricing and risk evaluation processes, Chelsea Avondale aims to lower loss ratios and achieve rapid organic growth in the insurance industry. The company's culture is driven by a commitment to scientific accuracy and innovation.
1 - 10 employees
Founded 2016
🔬 Science
🤖 Artificial Intelligence
đź“‹ Description
• Work with a team of established scientists and engineers with a diverse background in modelling and research. • Contribute to the scientific and technological development of severe natural hazard models (e.g., wildfire, flood, windstorms) and their applications. • Champion the development cycle from data cleaning through implementation. • Provide critical evaluation of scientific literature and engage industry experts to help formulate solutions to specific problems. • Leverage libraries and packages in Python to write scientific code that is modular, fast and easy. • Manage individual project priorities, deadlines and deliverables with technical expertise. • Calibration and validation of the individual model components, including benchmarking to historical events. • Research, vet and augment various datasets from different sources including remotely sensed satellite imagery, geospatial and environmental information, and weather data, with a focus on statistical credibility. • Evaluate model outputs in time and space using GIS tools.
🎯 Requirements
• BSc, MSc, or PhD in Applied Mathematics or Physics with an outstanding research track record. • Writing high-performance scientific code in Python. • Broad knowledge of mathematical modelling, numerical solutions to differential equations, optimization, uncertainty quantification, Monte Carlo simulations. • Experience with statistical evaluation of large, multi-dimensional datasets. • Demonstrated experience running computer-based experiments with geophysical applications. • Experience in academia or industry on related topics post PhD will be beneficial. • Catastrophe modelling experience (e.g., flood, wildfire, severe weather) is ideal.
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