Perform data exploration using a combination of statistical programming languages (including, but not limited to R, Python, SQL, SAS) and deploy predictive analytics and machine learning techniques to improve pricing, risk prediction, and financial forecasting in a manner that is actuarially sound, enabling real-time results and efficiencies. Conduct and develop analysis, develop pricing and trends, assess changes in benefit designs, perform forecasting, analyze provider reimbursement terms and/or evaluate actuarial risk related analysis.