• 38860
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • Jan 12, 2021
  • Collaborate with business stakeholders to identify high-value opportunities for the application of analytics
  • Apply professional experience with statistical and machine learning software to guide team members in the preparation, analysis, and modelling of data
  • Prepare and present high-quality deliverables to communicate findings and recommendations to business stakeholders
  • Effectively coach and develop direct reports
  • Continually focus on process improvement to promote internal efficiency
  • University degree in Statistics, Computer Science, Mathematics, Business, or a related discipline
  • Excellent communication and organizational skills
  • Strong problem solving skills and ability to develop creative solutions to complex problems
  • 3+ years working in the advanced analytics space (Property & Casualty insurance experience an asset)
  • Leadership experience (people leadership and/or technical leadership)
  • Strong knowledge of statistical and predictive modelling techniques
  • Experience with predictive analytics software (e.g., R, Python, SAS)
  • Experience working in an ‘agile’ manner on projects
  • Experience with fraud analytics an asset