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Data Scientist Intern

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Genworth

Nov 15, 2023

Applications are closed

  • Internship
    Full-time
    Starts on May 12
    Off-cycle Internship
  • Data
  • Raleigh

Requirements

  • Master’s or PhD student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc.
  • Hands-on experience developing solutions using Python (Pandas, Scikit-learn), Spark, database query and management tools (SQL), in a cloud platform
  • Hands-on experience with multiple Machine Learning models, time series forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries, and programming
  • Strong communication (oral, written, interpersonal, and presentation) skills

Responsibilities

  • Collaborate with partners in Operations (Underwriting, Claims, Billing), Marketing, Pricing, Risk, Customer Solutions, and other functions to define business questions, prepare data, build predictive and prescriptive models, and communicate its insights and recommended actions.
  • Design, create and implement advanced analytics and forecasting models to optimize business processes; provide insights for decision making using Machine Learning and traditional statistical modeling
  • Using large datasets, develop and perform exploratory data analysis and build advanced machine learning models using structured and unstructured data.
  • Communicate the ML models and methods in a logical and understandable manner for non-analytical business users and model governance teams

Finance
Industry
1001-5000
Employees
2004
Founded Year

Mission & Purpose

Genworth Financial, Inc. (NYSE: GNW) is a Fortune 500 provider of products, services, and solutions that help families navigate the aging journey with confidence. Headquartered in Richmond, Virginia, Genworth applies its nearly 150 years of experience each day to helping people navigate caregiving options and fund their long-term care needs.     Our primary office locations in the U.S. are Richmond, VA, Lynchburg, VA, Stamford, CT, Waltham, MA and New York, NY.