ML Scientist; Atmospheric Science

Position: ML Scientist (Atmospheric Science)
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.

Responsibilities

• 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.

• Collaborate with meteorologists, hydrologists, and engineers to integrate physical insights into ML models.

Qualifications

• Ph.D. degree (completed or close to completion) in computer science, statistics, physics, engineering, atmospheric sciences, or a related field.

• Strong background in machine learning for spatio-temporal data and physical processes.

• Theoretical understanding of fluid dynamics and climate processes.

• Proficiency in Python and ML libraries (such as PyTorch or Jax) as well as version control (Git).

• Experience with climate data (e.g., reanalysis, satellite, or numerical weather prediction outputs).

• Familiarity with geospatial data processing and visualization tools (e.g., xarray, NetCDF, pandas).

• High degree of comfort deploying machine learning models in HPC environments.

• Excellent verbal and written communication skills, including the ability to convey technical ideas to a non-technical audience.

• Team-focused and evidence of supporting project team members.

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About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.

We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

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