What is a Machine Learning Engineer at Verisk?
As a Machine Learning Engineer at Verisk, you are at the intersection of data science, high-stakes analytics, and industry-specific innovation. Verisk provides critical data and insights to the insurance, energy, and financial services industries, meaning your models directly influence risk assessment, claims processing, and strategic decision-making for global enterprises. You will not just be building models in a vacuum; you will be deploying scalable solutions that handle massive, complex datasets to solve real-world problems.
The role demands a rigorous approach to both research and production. You will be expected to bridge the gap between theoretical machine learning and practical, robust software engineering. Whether you are working on atmospheric science, predictive modeling for risk, or optimizing internal workflows, your contributions will be central to maintaining Verisk’s competitive edge. This position offers a unique opportunity to work at the scale of a market leader while maintaining the intellectual curiosity of a research-focused organization.




