Data Scientist - AI/Machine Learning


Australian Capital Territory

Work type:



Information & Communication Technology


$800.00 per day

Job reference:


Start date:


Contact email:


Steven Jobson

  • 2 month contract
  • Permanent Residents eligible to apply
  • AI/Machine Learning
About the Organisation

Our client is one of the world's foremost providers of consulting, technology, outsourcing services and local professional services. 

Key Responsibilities
  • You will interact with clients to gather requirements, design solution framework, program, develop and present analysis, tools or solutions.
  • You will perform activities like data extract, transform and load, data quality assessment, data cleansing and enhancing, complex data transformation, relationship profiling, sampling and extrapolation, segmentation.
  • You will develop solutions that heavily utilise tools and technologies such as R, Python, SAS, Tensor flow, Azure Machine learning, Spark, Hive.
  • Build functional solutions that incorporate and perform Real time analytics, Predictive analytics, Big data analytics, Statistical modelling, Machine Learning, Deep Learning, Natural Language Processing and Artificial Intelligence.
  • You will consult stakeholders on how to improve decision making using data driven insights that can lead to better customer outcomes.
Skills & Experience
  • Experience using statistical techniques to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

How to Apply

To apply for this opportunity, please submit your application to Isabelle Barling at Talent International by clicking the "APPLY NOW' button below. Alternatively, you can contact Isabelle on 02 6285 3500 or for further information.

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