Data Scientist

  • 33545
  • Non-Life - Other
  • |
  • Quebec, Canada
  • |
  • 5 days ago
Insurance
RESPONSIBILITIES
  • Transformation of complex data sets into meaningful conclusions and recommendation.
  • Develop novel and innovative solutions for pattern recognition using machine learning and statistical approaches.
  • Stay current on new approaches or opportunities, and bring them to the solutions you design.
  • Help maintain the expanding set of Data Mining tools and frameworks, including all prerequisite components and the add-ons.
  • Make actionable recommendations based on insights.
  • Communicate the Model Results and Performance to Management.
  • Work with other departments to drive adoption of analytical principles in the organization.
  • Quality assurance on the analytical approach and project output for other members of the team.
QUALIFICATIONS
  • Candidates with the equivalent of a Master’s degree in a relevant subject including, but not limited to Mathematics, Science, Engineering, Business Administration, Marketing, Operational Research, Economics, Statistics , AI, Computer Science or a related field etc. will be preferred.
  • Cross-platform production experience with the following commercial and open-source Data Mining frameworks:
  • Open-source frameworks: R, Python, and GitHub.
  • Expert-level understanding of the underlying Machine Learning theory.
  • Expert-level understanding in any specific field: Computer vision, Natural Language Processing or Artificial Intelligence.
  • 3 years of experience in the field of advanced statistics, data mining or text mining.
  • Fluency in applied analytical techniques including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines), collaborative filtering, k-nearest neighbors, association rules and other Machine Learning techniques.
  • Understanding of algorithmic complexity and scaling of run time and memory usage with larger datasets.
  • Ability to concentrate on loosely defined problems which require application of creative approaches.
  • Strong communication, time-management, organization, and prioritization skills.
  • Understanding of Data science approaches in consumer research domains a plus.
  • Proficient with Microsoft PowerPoint, Excel, and Word. Knowledge of Visual Basic for Applications (VBA) would be an advantage.
  • Relevant P&C Insurance Industry Knowledge and Hands on Experience in these fields would be an asset
  • Cooperative team player.