Predictive Analytics Consultant

  • 37473
  • Non-Life - Data Science
  • |
  • Michigan, United States
  • |
  • Jun 3, 2020
Insurance
RESPONSIBILITIES
  • Develop value-added analytics utilizing predictive modeling, multivariate analysis, regression analysis, and statistical sampling.
  • Collect and cleanse data used in the modeling analysis, including extracting and combining data from multiple sources using languages such as SQL, Python, and SAS.
  • Collaborate cross-functionally to improve existing data capture or begin the capture of new data elements required for modeling.
  • Communicate findings and recommendations to internal stakeholders.
  • Initiate and participate in complex special projects, such as interdepartmental and industry committees, development of new or revised systems, and problem solving, or investigation related to modeling.
QUALIFICATIONS
  • Bachelor’s degree in statistics, computer science, economics or related field.
  • Completion of 4-8 actuarial exams or advanced degree in quantitative field preferred.
  • 5 years of experience in data science related position.
  • Experience with property-casualty insurance preferred.
  • Intermediate programming skills enabling the individual to extract and manipulate data.
  • Possesses a broad understanding of statistical models and generalized linear models preferred.
  • Demonstrated successful ability to build positive partnerships and work collaboratively with cross-functional business teams.
  • Excellent problem solving, critical thinking and decision-making skills.
  • Excellent interpersonal and communication skills with the ability to interact with all levels of the organization.
  • Ability to lead discussions, make presentations and deliver technical results to a non-technical audience.