Associate Scientist, Statistics and Data Science

Verisk AnalyticsBoston, MA
59dHybrid

About The Position

Join Verisk - Extreme Event Solutions' growing Research and Modeling Department and be part of the Financial and Uncertainty Modeling team in Boston; working closely with statisticians, mathematicians, analysts and geoscientists. You have a strong desire to learn, as you will gain expert knowledge of a broad range of topics, including but not limited to; modeled perils and associated catastrophic events, postal codes in various countries around the world, insurance terms, and probability distributions. You have excellent communication skills and will use your technical and analytical skills to solve problems.

Requirements

  • Graduate degree in a quantitative field, such as data science, statistics, mathematics, or computer science, with 2-3 years of professional experience with data analytics projects is required
  • Strong analytical and quantitative skills, a solid understanding of probability concepts, and excellent problem-solving skills
  • Basic programming knowledge required; familiarity with R or similar statistical language is preferred. Knowledge of SQL is a plus
  • Excellent oral and written communication, time management and organizational skills are required
  • Ability to work independently or with a team

Nice To Haves

  • Background in data science/machine learning highly desired
  • Experience with any of the following would be a big plus: insurance claim data, insurance policy conditions, actuarial science, database management

Responsibilities

  • Analyze insurance claims data from catastrophic events such as hurricanes, earthquakes, flood, and severe thunderstorms
  • Test accuracy of new methodologies by writing code in R or C++ and run simulations
  • Document results
  • Present findings concisely and create clear visualizations
  • Assist the client services team in explaining methodology and answering client questions

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

Number of Employees

5,001-10,000 employees

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