Senior Actuarial Data Scientist

  • 35461
  • Non-Life - Data Science
  • |
  • Pennsylvania, United States
  • |
  • Jul 9, 2019
Insurance
RESPONSIBILITIES
  • Develops statistical models designed to enhance business decisions. Areas of focus will include: Claims, Customer Service, Marketing, Pricing, Sales & Agency, and Underwriting.
  • Possesses and applies a broad knowledge of predictive modeling principles, practices, and procedures as well as identifies and implements process improvements.
  • Stays current with advanced actuarial research and industry best practices and implements as needed.
  • Leads analysis for new P&C products and the development and enhancement of models designed to benefit all aspects of the organization.
  • Collaborates closely with other areas within and outside the division on the development and maintenance of actuarial models and specific studies. In particular, works closely with business and IT partners to ensure predictive model results are implemented as intended.
  • Analyzes complex data to drive better business decisions throughout the organization.
  • Develops complex programming to extract and manipulate research data. Includes data from both internal and external sources.
  • Develops processes to effectively analyze, communicate, monitor, and report results of predictive models to ensure customer expectations are met. Processes will include: reports, metrics, and dashboards.
  • Participates in the execution of data analytics strategy to support the needs of the organization.
QUALIFICATIONS
  • PhD in mathematics, statistics, computer science or related field; or
  • Master's degree in mathematics, statistics, computer science or related field and four years' predictive modeling experience; or
  • Bachelor's degree in mathematics, statistics, computer science or related field and Associate designation in Casualty Actuarial Society; or
  • Bachelor's degree in mathematics, statistics, computer science or related field and six years' predictive modeling experience; or
  • Bachelor's degree in mathematics, statistics, computer science or related field and four years' predictive modeling experience and two years' programming experience, required.
  • Five years' experience developing predictive models in insurance applications preferred.
  • Ability to Learn and Follow Procedures.
  • Ability to Manage Complexity.
  • Coding and Converting.
  • Decision Making.
  • Developing and Maintaining Relationships.
  • Information Management Skills.
  • Interpersonal Communication.
  • Planning and Organizing.
  • Problem Analysis.
  • Resourcefulness.
  • Service Orientation.
  • Time Management.