• 38815
  • Non-Life - Actuarial
  • |
  • Ontario, Canada
  • |
  • Jan 7, 2021
  • Work closely with data scientists to bring cutting-edge models to market
  • Exposure to different business stakeholders and direct influence on future products and innovative solutions
  • Work on the proposal of innovative machine-learning and statistical models for practical applications that impact millions of customers
  • 2+ years of experience in general insurance industry including predictive modeling and working with large datasets. Experience in developing non-linear statistical model is preferred
  • Strong programming and problem-solving skills to develop, test, validate, and maintain robust tools/models using supervised and or unsupervised techniques. Experience in Python programming.
  • Have cross-functional skills that allow you to straddle the worlds of data scientist and actuaries
  • Collaborate with business stakeholders to establish a vision and create a culture that treats data as a strategic asset
  • Strong experience in common data science toolkits such as Numpy, Pandas, Scikit learn
  • Post Bachelor studies such as actuarial exams or Masters Degree (enrolled or graduated) in Statistics or Computer science