Summer 2027 Intern-P&C Actuarial & Underwriting Modeling - Data Scientist

State Farm•Dunwoody, GA

22h•Hybrid

About The Position

State Farm is seeking a graduate student intern for its Property and Casualty (P&C) Actuarial and Underwriting Modeling and Analytics Department. Interns conduct innovative, meaningful research in a collaborative environment while developing technical and business skills. The work involves analyzing large volumes of data to support insurance and financial customers, including data mining and predictive modeling. The internship also offers training, mentoring, and leadership development. The summer internship runs from June 2, 2027, to August 11, 2027, with a hybrid work environment combining time in an office in Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; or Tempe, Arizona, and work from home. The stated hourly rate is $30.00 based on a 38.75-hour work week, Monday through Friday. Selected interns are also eligible for a $2,000 stipend before taxes.

Requirements

Must be a current graduate student who will have completed the first year of graduate studies by the start of the summer internship.
Must be enrolled full-time in a graduate program throughout the internship and have at least one semester remaining after it; expected graduation date must be December 2027 or later.
Experience with programming languages such as Python is required.
Must demonstrate fundamental knowledge of multiple modeling techniques, including regression, neural networks, decision trees, and clustering.
Strong communication, interpersonal, organizational, leadership, and critical-thinking skills.
Ability to work in a team environment.
Must be eligible to work lawfully in the United States immediately; State Farm will not sponsor work authorization for this opportunity.

Nice To Haves

Candidates pursuing a master's degree in Statistics, Data Science, or a related field are preferred. Related fields may include Mathematics, Economics, Quantitative Management, Industrial Engineering, or Operations Research.
GPA of 3.5 or higher is preferred.
Experience with cloud-based AWS is preferred, but not required.

Responsibilities

Conduct data mining and predictive modeling, including regression, forecasting, and machine learning.
Research emerging industry trends and current topics.
Develop and implement creative solutions in a collaborative team environment.