Data Scientist

  • 37447
  • Non-Life - Data Science
  • |
  • Ontario, Canada
  • |
  • May 29, 2020
  • You will work on impactful projects that range from predicting customer life-time values and optimizing customer journeys to incorporating novel data sources for building cutting-edge pricing algorithms.
  • You will leverage machine-learning algorithms to automate and predict claim outcomes and find new and innovative ways to impact our customers.
  • You will propose machine-learning and statistical models for practical applications that impacts millions of customers.
  • You will mentor and guide your peers in novel approaches and provide peer review for their work.
  • Provide data support to Claims business inclusive of data mining, automated reporting and modelling.
  • Transformation of complex data sets into meaningful conclusions & recommendations.
  • Develop innovative solutions for pattern recognition using machine learning and statistical approaches.
  • Maintenance of expanding set of data mining tools, frameworks & approaches.
  • Communicate actionable recommendations based on insights/model results.
  • Driving co-ordination/delivery accountability of project and BAU delivery based on timelines & direction.
  • Driving conformance/Alignment to IT/Enterprise Architecture standards.
  • An educational background in computer-science or engineering, math, statistics, physics or related field. A minimum of MSc is required and PhD preferred.
  • 5+ years of experience with model development and working with large datasets. This can include experience from any industry or academia.
  • 5+ programming experience in Python or R with good grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc.
  • Python/R /Dataiku.
  • REST/XML/JSON/API ingestion.
  • Spark/Impala/Hive.
  • Expertise in machine learning theory and predictive modelling lifecycle.
  • API configuration.
  • Conformance/Alignment to IT/Enterprise Architecture standards.
  • Relevant experience in P&C.
  • Shiny App development.