Data Scientist

  • 33405
  • Non-Life - Other
  • |
  • Australia
  • |
  • Mar 5, 2018
  • Design in-market experiments to measure impacts of pricing and direct/digital marketing campaigns.
  • Collaborate with Marketing colleagues to instill predictive analytics into our marketing function.
  • In-market experiments around pricing and direct/digital marketing.
  • Longitudinal studies of customer experience and behavior.
  • Risk cost modelling using both traditional and modern techniques across a range of products.
  • Determination of optimal commercial rates.
  • Fraud analytics.
  • Development of an increasingly detailed understanding of the impact of natural perils.
  • Evaluation of a wide range of initiatives to improve efficiency of internal operations.
  • Guiding project members in their work, particularly where new techniques are being adopted.
  • Peer reviewing work to ensure it is of suitable quality, working with colleagues to ensure continuous improvement.
  • Coaching and mentoring more junior colleagues to ensure their ongoing technical and leadership development.
  • Advanced programming and statistical modelling ability (including extensive use of modelling software such as SAS or R).
  • Experience using machine learning algorithms.
  • Degree in Statistics, Actuarial Science, Finance, Mathematics, Computer Science, Engineering, Physics, Economics or other relevant technical fields; Master's Degree or PhD preferred (though relevant experience can substitute).
  • Advanced experience of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
  • Advanced knowledge of analytics and data processing technologies and architectures.
  • Experience in analyzing large volumes of unstructured data.
  • Experience in building analytics applications for deployment in real or near real time.
  • An ability to coach, mentor and develop junior colleagues to ensure their ongoing technical and leadership development is preferred, though not essential.