Data Scientist

  • 36859
  • Life - Data Science
  • |
  • Maryland, United States
  • |
  • Feb 19, 2020
Insurance
RESPONSIBILITIES
  • Creation and maintenance of an exciting and important collection of advanced analytical solutions involving predictive modeling, optimization and simulation.
  • You will be especially involved in the analysis of lapse and mortality experience, and the modernization of the assumption setting process.
  • Additional responsibilities will include developing cutting-edge underwriting triaging models, along with potential involvement in any of the other business areas mentioned above.
  • You will be highly engaged through all stages of a project.
  • You will meet with business leaders to flesh out project objectives at the start.
  • You will drive the data acquisition phase where you will collaborate with Data Engineers to identify data sources and query structured databases.
  • You will transform the data and engage in advanced feature engineering to develop the analytical solution and perform model validation.
  • You will document and present your results to a spectrum of business leaders, helping to transform the organization through modern, data-driven decision making.
QUALIFICATIONS
  • BS/BA in Math/Statistics, Masters in Statistics preferred.
  • Associate of the Society of Actuaries.
  • 5+ years of life insurance/actuarial experience.
  • 2+ years predictive modeling.
  • Experience study for mortality and lapse background strongly preferred.
  • Good familiarity with life underwriting preferred.
  • Strong working knowledge of R preferred, Python OK.
  • Spreadsheet and database capabilities.
  • Visualization tool experience helpful.
  • Excellent written and oral communication skills, including presentation skills.
  • Strong documentation skills.
  • Strong project management skills.
  • Ability to multi-task in a deadline-oriented environment.
  • Ability to work independently and collaboratively.
  • Strong actuarial analytical skills and problem solving ability.
  • Self-motivated.