Data Scientist

  • 39038
  • Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Feb 4, 2021
Reinsurance
RESPONSIBILITIES
  • Apply advanced statistical and machine learning techniques to build models for underwriting, experience studies, assumption development, 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 company functions and with clients to use analytics to influence business decisions;
  • Work with existing data science groups at company and collaborate with internal partners 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 preferred but not required;
  • Actuarial examinations or designation is an asset but not required;
  • Expertise in advanced predictive analytic techniques;
  • Strong experience working with Python, or R; working knowledge of SQL (familiarity with multiple languages considered an asset);
  • Experience working with analytics through the modeling lifecycle including gathering data, design, recommendations, testing, implementation, communication, and retraining;
  • Familiarity with cloud computing platforms (ex. AWS, Microsoft Azure)
  • Familiarity with big data technologies (ex. Apache Spark, Hadoop, etc), natural language processing and deep learning frameworks (ex. Tensorflow, Pytorch) is an asset but not required;
  • 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.