RealREPP, a full service recruiting firm, is currently partnered with a direct seller insurance company with a national presence in recruiting for an Actuarial Data Scientist to work alongside actuaries and other data professionals to build and evaluate pricing and other enterprise models. You will navigate projects through the entire data science lifecycle, from problem definition to data exploration, data wrangling, modeling, analysis, and deployment into production. You will maintain a close partnership with IT to ensure that models can be deployed quickly and monitored on an ongoing basis.
This opportunity offers an excellent base salary industry leading benefits package along with a collaborative and innovative company culture.
Requirements

• Bachelor’s or master’s degree in data science, computer science, operations research, statistics, applied mathematics, or a related quantitative field. PhD or insurance designations such as ACAS desirable.
• Minimum of 3 years’ experience in an insurance pricing role
• Experience leading predictive modeling projects involving new rating structures
• Demonstrate knowledge of when to apply predictive modeling techniques such as logistic regression, time series, neural networks, random forest, boosting, text mining, clustering, deep learning, optimization, etc.
• Proficiency in analytical programming languages like SAS, R, Python, etc.
• Experience exploring and manipulating large amounts of structured and unstructured data using SQL
• Excellent communication and presentation skills, including storytelling and other methods to guide, inspire, and provide insights to non-technical stakeholders

If you are interested in this opportunity, please apply directly. All qualified candidates will be contacted directly.
*We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.*