Work collaboratively with the business areas in a fast-paced agile environment to define business problems quantitively
Develop predictive models to predict risk better
Distill value from internal or third-party data
Hands-on experience with insurance risk models, data visualization, model development/testing using generalized linear models and other data mining techniques
Perform related cost-benefit analyses
Complete project-related tasks and meet deadlines
Position will work from the office in Madison
Requirements
Pursuing a graduate or undergraduate degree in Statistics, Mathematics, Economics, Actuarial Science, Risk Management, or Data Science related major
Minimum GPA of 3.0
Students enrolled in a Data Scientist related program
Strong quantitative/analytical skills
Excellent programming skills using Python, R, and SQL
Strong verbal and written communication skills
Strong time management skills
Ability to work independently and in a team environment
Ability to complete project-related tasks and meet deadlines