Life Data Scientist

  • 36882
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Feb 21, 2020
  • Apply statistical and machine learning techniques to assist with building models for underwriting, pricing, and claims management.
  • Help us 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 company functions and with clients to use analytics to influence business decisions.
  • Work with existing data science groups at the company and collaborate with internal partners to leverage capabilities in big data technology.
  • Undergraduate or Graduate degree in Computer Science, Statistics, Data Science/Analytics, Applied Mathematics, Engineering- or equivalent program offering coursework manipulating large datasets.
  • Expertise in advanced predictive analytic techniques.
  • Strong experience working with Python, or R; working knowledge of SQL.
  • Demonstrated experience working with analytics through the modeling lifecycle including gathering data, design, model building, testing, implementation, communication, and monitoring.
  • Excellent communication skills; spoken & written, formal/informal presentation - to effectively interpret and present actionable insights to partners.
  • Resourceful and able to learn quickly.
  • A drive to make a difference.
  • Proven ability to thrive in a dynamic environment.
  • Preferred:
  • Familiarity with cloud computing platforms.
  • Familiarity with big data technologies, natural language processing and deep learning frameworks.
  • Previous exposure to insurance or financial services environment, or Actuarial examinations/designation.