Climate Risk Modeling Expert
hace 3 semanas
About Descartes Underwriting
Descartes Underwriting is a leading provider of parametric insurance solutions for weather and climate-related risks. We harness the power of machine learning, real-time monitoring from satellite imagery and IoT to deliver innovative risk management products.
About Your Role
We are seeking an experienced Data Scientist to join our team, either in underwriting or R&D functions. As a key member of our company's strategy, you will focus on developing new climate models or forecasting tools that contribute directly to our growth.
Underwriting Team Responsibilities
- Develop and improve algorithms, risk models and products for B2B clients
- Implement and deploy statistical and machine learning methods to differentiate us from competitors
- Collaborate with the business team to understand client needs and strengthen technical excellence
- Take on management responsibilities as both you and the company develop
R&D Team Responsibilities
- Develop new models to improve our understanding of climate risks, focusing on wildfires or floods
- Conduct research on climate risk modeling and machine learning methods
- Identify new ideas and test state-of-the-art methods based on recent research articles
- Collaborate with underwriting and business teams to integrate products into the underwriting process
Requirements
You have a background in data science, statistics or a related field, and 5+ years of experience in developing and implementing machine learning models. You are proficient in languages like Python, R or Julia and have knowledge of SQL and data visualization tools. Excellent communication skills and ability to work autonomously are essential.
Benefits
As a valued member of our team, you can expect a competitive salary of $120,000 - $180,000 per year, depending on your level of experience and qualifications. Our comprehensive benefits package includes health insurance, retirement plan, paid time off and opportunities for professional growth and development.
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