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Data Scientist

About us

Cash Converters is an ASX listed global company that specialises in second hand goods and personal finance solutions. We have an active online presence, where 150 of our national stores engage in our Webshop and gumtree. We not only have stores located in Australia, but in 22 countries around the world. We pride ourselves on helping people get on with their lives and offer a variety of products to do so. Our passion for helping people doesn’t stop there, we also believe in the continual support of our staff and encourage our people to grow and develop with us.


About the role


We are looking for a Data Scientist to join our national data science practice based in our Perth CBD headquarters. Reporting to the Advanced Data Science Manager, you will be responsible for understanding the business needs, developing, monitoring and enhancing models, and communicating the results, findings and recommendations. This role will give the successful applicant the opportunity to work across a range of projects, leveraging the latest tools and technologies, such as cloud computing, big data, Apache Spark, Azure Databricks and Tableau.

Your role will include:

  • Performing modelling and analysis using machine learning and statistics
  • Leading analytical conversation with business
  • Developing POCs to assess business value
  • Continuous monitoring and refinement of methodology, modelling, data inputs and assumptions
  • Support stakeholders by providing analysis, insights, and recommendations relating to the models and products
  • Actively undertaking personal development to ensure up-to-date skills and knowledge

The ideal candidate will have:

  • At least 3 years commercial experience in data science
  • Excellent understanding of machine learning, statistical modelling and forecasting techniques.
  • Have a strong working knowledge of SQL and Python or R.
  • Have excellent written and verbal communication skills.


Additional consideration will be given to candidates who complement our culture of innovation:

  • Can solve unfamiliar problems
  • Can identify novel opportunities and approaches
  • Perform well under self-direction or in a team
  • Are proactive, ambitious, and want to make an impact.
  • Have a record of self-learning and self-improvement
  • Welcome the opportunity to present their findings to a decision-making audience


What’s next?

Click on the apply button and enter your details such work history and education and answer some general questions. If you are successful in getting to the next round of recruitment, you will be required to complete a police clearance.




No recruitment agencies please

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