Commercial Analytics Intern

Genworth-posted 3 months ago
Intern
Raleigh, NC
Insurance Carriers and Related Activities
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At Enact, we understand that there's no place like home. That's why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there. We're looking for a Commercial Analytics Intern in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement and connection. In addition to the multiple weekly events attended by all interns, you'll work alongside industry experts for a 12-week internship beginning May 18, 2026. In this role, you will be part of the Business Intelligence organization within the Operations group. As a primary part of the Commercial Analytics (CA) Team, and by giving additional support to the Optimization Team, you will be responsible for (1) Applying advanced analytical capabilities in Tableau to assist with customer trends for our commercial organization, (2) Collaborating with data analysts, SME's, and other key stakeholders in the business to develop a breadth of knowledge about the finance and insurance industry, and working with other analysts on both teams to enhance, automate, and optimize current data modeling and reporting procedures.

  • Collaborate with partners in Sales, Marketing, Pricing, Risk, Customer Solutions, Underwriting, 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.
  • 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 leveraging visualization software such as Tableau or Sigma Computing.
  • Proficient in Excel, some experience with Snowflake and/or SQL.
  • Strong analytical and critical thinking skills, willing to ask questions, but also work independently.
  • Strong communication (oral, written, interpersonal, and presentation) skills.
  • Hands-on experience developing solutions using Python (Pandas, Scikit-learn), Spark, database query and management tools (SQL), in a cloud platform like Snowflake.
  • 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.
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