ML Scientist

Job description

Join Verisk Catastrophe and Risk Solutions and contribute to the development of cutting-edge machine learning models for climate risk. You will play a critical role in expanding our modeling capabilities to improve predictions of weather extremes and enhance the risk insights we deliver to clients. In this role, you will be responsible for building, deploying, and validating machine learning algorithms to solve real-world climate problems, contributing to the development of stochastic event catalogs for perils such as winter storms, storm surge, tropical cyclones, and other natural hazards. This role is a perfect blend between machine learning and climate science, and your work will directly impact how insurers, reinsurers, and governments prepare for and respond to catastrophic events. - Design, build, deploy, and maintain ML models to achieve research and business objectives. - Collaborate with and provide support to other research groups to develop new machine learning tools and enhance existing models. - Evaluate model performance on real-world data and present findings to stakeholders. - Prepare, clean, process, and quality-control data used in modeling workflows. - Collaborat...