Job Summary

We are looking for analytical, innovative, curious, and organized thinkers to join our Personal Lines Research & Development summer internship program.

Farmers Insurance Farmers Insurance Group is one of the premier property and casualty insurers in the United States, with operations nationwide and corporate headquarters located in the greater Los Angeles, CA (Woodland Hills) area. Farmers has been independently certified as a Great Place to Work based on its high-trust, high-performance workplace culture. Extensive development opportunities are available through the award-winning University of Farmers, named by Training Magazine as a top 10 corporate training organization in the world. We are one of the nation’s largest insurers of homes and vehicles. Our mission is to deliver peace of mind by making customers smarter about insurance and helping them to recover from a loss.

Perks of working at any of our locations is our amazing culture. We have dynamic employee resource groups (Black Professionals Alliance, LGBT & Allies, Somos Farmers, Toastmasters, Women’s Inclusion Network, and more) and a commitment to community outreach. This internship can be in Woodland Hills, CA or Independence, OH or Virtual.

Details

Research & Development offers an exciting combination of research projects and business problems. We use an eclectic mix of modeling approaches to build industry-leading risk pricing models, measure performance, and inform strategy. Such techniques include generalized linear models, neural networks, decision trees, finite mixture models, cluster analysis, factor analysis, and multivariate statistical analysis.

As an intern you will develop and present a project to senior leadership that is geared towards achieving our company strategy. You will develop crucial and highly valuable data analytics skills as well as soft skills through the course of your internship. You can expect to:

• Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of statistical techniques
• Dig in by extracting data and performing segmentation and statistical analyses on large datasets (using languages/tools such as R, SAS, SQL and Python)
• Assist statisticians with research and implementation of technology using machine learning and artificial intelligence techniques
• Communicate/present findings to R&D staff and business partners

Requirements

Requirements for consideration include:

• Current student pursuing an undergraduate or master’s degree in a quantitative field, such as Statistics, Mathematics, Economics, Analytics, or other related fields with advanced coursework in statistics. 3.0 GPA or higher on a 4.0 scale
• Interest in statistical modeling techniques such as linear regression, logistic regression, and/or GLM and experience with one or more statistical programming languages such as SAS, Python, and/or R
• Solid written and verbal communication skills
• Self-motivated, methodical individuals with attention to detail and effective time-management skills
• Ability to work eight to twelve weeks during the summer
• Current and future authorization to work in the United States of America