Senior Analyst; Data Science; Business Intelligence - Engineer I

Company: Maplecroft
Location: Boston
Posted on: May 24, 2025

Job Description:

Senior Analyst; Data Science; Business Intelligence - Engineer IJob DescriptionVerisk Extreme Event Solutions (previously AIR Worldwide), a member of Verisk Analytics, is the scientific leader and most respected provider of risk modeling software and consulting services. Verisk Extreme Event Solutions founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes, terrorism, and pandemic outbreaks in 90 countries. Verisk Extreme Event Solutions offers the opportunity to work with advanced technologies, global clients, and hundreds of the most innovative, talented minds in the industry.As an urban conflagration modeling engineer, the primary responsibility will be studying how fires could start, spread, and be suppressed after an earthquake and their impact on built environment and human beings. Your role will include running large-scale simulations, processing and analyzing extensive datasets, and support the translation of research outcomes into financial loss estimates for large insurance portfolios.ResponsibilitiesAbout the Day-to-Day Responsibilities of the Role

• Assist in improving fire-spread and suppression modeling to accurately reflect real-world scenarios such as urban conflagration
• Code algorithms and models in C++ to enhance fire-spreading simulation capabilities
• Process simulation outputs and large experimental datasets, performing statistical analysis to validate model components and overall performance
• Run large-scale simulations on AWS and manage cloud-based computational resources efficiently
• Perform data acquisition, including post-event surveys, and analyze data to understand fire ignition, spreading, suppression across different built environments such as residential, commercial, industrial, and infrastructural areas
• Collaborate with senior engineers and researchers to assess and refine model results
• Present findings and models to technical and non-technical audiences, and provide support to clients and staff as needed
• Contribute to technical writing for internal and external publicationsQualificationsA successful candidate should have a strong technical background in science, engineering, or mathematics, have a passion and desire to learn, and is expected to be a highly motivated, detail-oriented, well-organized, self-directed, and excellent team player. As a researcher at VERISK, the nature of our work varies from month to month and year to year, and you will have constant opportunities to learn and grow expertise in new areas.About You and How You Can Excel in This Role
  • MS with 2+ years of relevant experience or PhD in fields related to fire spread simulation such as fire engineering or similar
  • Proficiency in C++ programming and experience with data analysis tools such as Python, R, Matlab or others
  • Experience in large-scale computational simulations, preferably with knowledge of AWS or other cloud computing platforms
  • Familiarity with probabilistic and stochastic risk assessment and modeling is a plus
  • Strong analytical and problem-solving skills, with an attention to detail
  • Excellent written and verbal communication skills
  • Ability to work in a team environment and contribute to various projects
  • Experience with GIS applications (e.g., ArcGIS, QGIS), FDS and PyroSim is a plusAbout UsFor 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, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, 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 and Best Employer for Women, 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.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.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.
    • Job Category: Data Science and Business Intelligence
    • Posting Date: 04/16/2025, 02:31 PM
    • Job Schedule: Full time
    • Locations: Boston, MA, United States
    • Work Arrangement: Hybrid
    • Minimum Salary: 110,000
    • Maximum Salary: 130,000
    • Division: Extreme Events Solutions
    • Legal Employer: AIR Worldwide Corporation
    • Disclaimer: Annualized base pay may vary depending on geographic location, job-related knowledge, skills, and experience
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Keywords: Maplecroft, Salem , Senior Analyst; Data Science; Business Intelligence - Engineer I, Professions , Boston, Massachusetts