Commercial Analytics and Optimization Team Intern

Genworth•Raleigh, NC

5d•Hybrid

About The Position

Enact is seeking a Commercial Analytics and Optimization Team Intern in Raleigh, NC, to join their Business Intelligence organization within the Operations group. This 12-week internship, starting May 17, 2027, offers students hands-on experience in achieving business results while developing technical and professional skills. Interns will work on meaningful business projects, network with leaders, attend teambuilding events, connect with the community through volunteer opportunities, and participate in professional development workshops. The program is designed to provide interns with cutting-edge ideas and skills to drive business success, fostering a network of peers and mentors for ongoing engagement and guidance.

Requirements

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.

Nice To Haves

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.

Responsibilities

Applying advanced analytical capabilities in Tableau to assist with customer trends for our commercial organization.
Collaborating with data analysts, SMEs, and other key stakeholders in the business to develop a breadth of knowledge about the finance and insurance industry.
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.