20 Verisk Data Scientist Jobs Hiring Near You

As a Sr. Analyst dedicated to the Nexus project, you will be responsible for the quality assurance of Nexus - an internal tool that is transforming the way we conduct early model testing. You will validate Nexus functionality end-to-end, ensuring the platform delivers accurate, reliable, and reproducible results across catastrophe model workflows. Working at the intersection of cutting-edge science, finance, and modern software engineering, you will build deep expertise in both the Nexus platform and the early-stage model testing processes it enables. If you care passionately about quality and thrive on shipping robust tooling that internal teams depend on, this role offers an excellent opportunity for professional and technical growth.

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• Bachelor's degree or higher in Engineering, Science, Mathematics, or Computer Science from a reputable institution.
• 6-8 years of relevant experience in QA or analytical roles within a computational analytics or software company, with preference for candidates who have tested internal tooling or platform products.
• Thorough understanding of and hands-on experience with relational databases such as MS SQL Server, with the ability to mentor and train others.
• Experience in analyzing and manipulating large datasets.
• Working knowledge of Python or R for data analysis, along with good working knowledge of Microsoft Excel.
  Nice to have: Experience processing geospatial data using QGIS, ArcGIS, or similar tools.
• Ability to identify patterns, make thorough observations from numerical datasets, and derive meaningful mathematical relationships.
• Nice to have: Experience validating numerical or probabilistic models in engineering, science, catastrophe modeling, finance, or actuarial science.
• Programming skills including numerical, scientific, and database programming.
• Proven analytical, quantitative, and problem-solving abilities.
• Excellent attention to detail and experience working within distributed and global teams comprising diverse cultural backgrounds.
• Superior verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams that are talented, culturally diverse, global, and possess varying levels of technical expertise.
• Hands-on experience with Cypress for end-to-end UI test automation, including writing, maintaining, and executing Cypress test suites within CI environments; working proficiency in JavaScript or TypeScript.
• Knowledge of product development lifecycles, CI/CD pipelines, and Agile sprint workflows, with an understanding of QA's critical role in early-stage model testing and internal tool delivery.
• Logical and clear thinker with a track record of making sound, process-driven decisions.