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Atmospheric Scientist/Statistician I

30+ days ago 2026/07/19
Other Business Support Services
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Job description

Join a multidisciplinary team of scientists, engineers, and mathematicians developing catastrophe models for the insurance and reinsurance industries. At Verisk, we are leading the way in generating new solutions based on machine learning and high-resolution numerical weather models to simulate the full distribution of possible extreme weather events—cyclones, storm surge, convective storms, and flooding— consistent with a changing climate.
We are seeking a statistician or atmospheric scientist to advance the development, support, and delivery of the hazard component of atmospheric peril models. Your work will inform risk and capital management decisions globally.
 



Our People, Our Culture


For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle.  We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. 


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.


Our Culture: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.


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Careers at Verisk: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture


Let’s build something meaningful together!


Verisk Analytics is an equal opportunity employer.


All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.


At Verisk, we provide a competitive compensation package aligned with market benchmarks and individual experience, disclosed transparently in accordance with applicable pay transparency regulations. In addition to base salary, eligible roles may include a range of incentive opportunities designed based on market research and our internal grading structure.


Our benefits portfolio varies by location; however, a typical package includes medical coverage, life insurance, pension plans, and paid time off in line with local labor laws.


We also foster a work environment focused on well-being and career development. Additional perks may include wellness initiatives, fitness programs, and team-building activities.


https://www.verisk.com/company/careers/


Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.


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Responsibilities:

Key Responsibilities


  • Improve the accuracy of representing atmospheric perils
  • Contribute to model development, validation, and productization for global clients
  • Support model development using observational and reanalysis products, GCMs, and high-resolution simulations

Qualifications:

Qualifications


  • Expertise in spatial statistics and extreme value analysis
  • Strong understanding of atmospheric dynamics and extremes
  • Experience with dynamic downscaling methods
  • Proficiency in Python
  • Clear written and verbal communication
  • Practical, solution-focused mindset

Requirements


  • Ph.D. in statistics, atmospheric science, or a related field; or Master’s with 3+ years of relevant experience
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