Senior Analyst

  • 39201
  • Non-Life - Data Science
  • |
  • Australia
  • |
  • Mar 2, 2021
Insurance
RESPONSIBILITIES
  • Interact with business unit customers to understand their needs and contribute to developing data science solutions that can create value for them
  • Translate business requirements into an innovative and iterative data science solution design that enables an expedited delivery of value to business unit customers
  • Contribute to the evaluation of possible data sources and analytical techniques that could be used to provide a superior business outcome
  • Solve complex technical problems using data science techniques
  • Deliver complex data science components using limited onshore and offshore resources
  • Work within an agile framework to deliver incremental value to business customers throughout a project’s lifecycle
  • Check for reasonableness and quality of the core analytical components they are responsible for being delivered to customers
  • Possess exceptional technical capability in one or more areas of data science/machine learning
  • Advise other team members on relevant matters
  • Interact well with team members and leaders, with some technical leadership
  • Collaborate within the team and other business units
QUALIFICATIONS
  • Superior results in relevant advanced technical bachelor’s degree (statistics, actuarial, engineering, maths etc)
  • Post graduate degree or honours class 1 or 2A in relevant statistical or data science related area
  • Membership of relevant professional body (IAPA, IAA etc)
  • At least 2 years practice in commercial complex data science/multivariate data analysis, with a specialist skill set
  • Advanced subject matter expertise in one or more data science/advanced analytics areas. Must have experience in delivering complex multivariate predictive analytics solutions in a commercial context
  • Proficient in unstructured data analysis, open source advanced analytics solutions, and/or experience in the automation of various components of the analytical process
  • Proficient with demonstrated experience in machine learning techniques
  • A desire to continually upskill and adapt technical skills to the changing data science technical landscape