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Data Scientist (Closed)

Job Highlights

About the Opportunity

  • Apply advanced statistical and machine learning techniques to build models for underwriting, experience studies, assumption development, pricing, and claims management
  • Assist 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 expenses
  • Proactively research new ways of modeling data to unlock actionable insights or improve processes
  • Effectively interpret modeling results, distill actionable insights and present them to partners
  • Collaborate across functions, and with clients to use analytics to influence business decisions
  • Work with existing data science groups and collaborate with internal partners, to leverage capabilities in big data technology

About You

  • Undergraduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics with 3 years’ experience OR Graduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, with 1+ years’ experience
  • Insurance or financial services background would be an asset
  • Actuarial examinations or designation would be an asset
  • Expertise in advanced predictive analytic techniques
  • Strong experience 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, etc.)
  • Familiarity with big data technologies (ex. Apache Spark, Hadoop, etc.), natural language processing, and deep learning frameworks (ex. TensorFlow, Pytorch, etc.) would be assets
  • Excellent communication skills, ability to interpret modeling results, and convey them to partners
  • Fast-learner with a drive to make a difference
  • Ability to thrive in a dynamic environment and successfully deliver on multiple assignments under deadlines


How to Apply

Click the “Apply Now” button and follow the instructions to submit your resume. Please note that we only accept documents in MS Word or Rich Text formats. When referencing this job, quote #29411.


You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role.