data scientist in Sydney

darren ruane, randstad
job type

job details

sydney, new south wales
banking & financial services
job type
working hours
reference number
darren ruane, randstad
Apply with
add to saved jobs print

job description

  • Join one of Australia's leading financial services organisations
  • S. in Mathematics, Computer Science, Engineering, Statistics a plus

Our client is looking for a Data Scientist to join a well established team to help support their Product, Marketing Distribution and Operations teams to make informed decisions through the application of data mining, predictive analytics and machine learning techniques.


  • You will work closely with the business partners to understand the business objectives and challenges to design analytical solutions to meet business goals
  • You will apply machine learning techniques in solving real life problems, preferably in the business or banking domain
  • Using predictive modelling to increase and optimize customer experience, revenue generation
  • Collaboratively work with Marketing and Campaign Analytics, recommend how to most effectively deliver campaigns & measurement through the use of models, controls and test cells
  • Lead stakeholder discussions to understand the situation that enables a problem to be defined with clarity and precision

Experience & needed:

  • A minimum of 3 years’ experience in statistical modelling in a big data environment (Hadoop/Spark/R/Python) in Financial Services/Banking or similar industry
  • Knowledge of a variety of statistical and data mining techniques (regression, statistical tests and proper usage, random forest, clustering, decision tree learning, deep learning text mining etc.) and their real-world advantages/drawbacks.
  • Ability to present information, analysis and technical constructs to a non-technical audience
  • Be adept at using large data sets and streaming data to find opportunities to help optimise portfolio performance, identify customer needs and test the effectiveness of different courses of action.
  • A proven ability to drive business results with their data-based insights and must be comfortable working with a wide range of stakeholders and functional teams.
  • Must have strong experience using a variety of data mining/data analytics methods, using a variety of analytics tools, building and implementing models.

If you meet the criteria and would like to learn more about this please click “APPLY” or send your resume to

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.





educational requirements

Master's Degree