Data Scientist

  • 35088
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Apr 29, 2019
Reinsurance
RESPONSIBILITIES
  • Apply advanced statistical and machine learning techniques to build models for underwriting, pricing, and claims management.
  • Help us to drive innovation, enabling new underwriting paradigms, distribution models, and data management.
  • Build and implement solutions that enable operational units to improve quality and speed of core processes in order to generate incremental revenue or reduce expense.
  • Proactively research new ways of modeling data to unlock actionable insights or improve processes.
  • Collaborate across the company functions and with clients to use analytics to influence business decisions.
  • Network with existing data science groups at the company. Collaborate with internal partners in Chief Data Office to leverage capabilities in big data technology.
QUALIFICATIONS
  • Undergraduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, plus 3 years’ experience, OR Graduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, plus 1 years’ experience.
  • Insurance or financial services background is highly preferred but not required.
  • Background in actuarial science attained through experience or advanced credentials.
  • Expertise in advanced predictive analytic techniques is highly desired.
  • Fluency with SQL, Python, or R.
  • Experience working with analytics through the modeling life-cycle including gathering data, design, recommendations, testing, implementation, communication, and revisions.
  • Excellent communication skills, effectively interpreting modeling results, distilling actionable insights and presenting them to partners.
  • The ability to learn quickly.
  • A drive to make a difference.
  • Thrive in a dynamic environment and successfully deliver on multiple assignments under deadlines