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Data scientist

Sydney
Tabcorp
Data Scientist
Posted: 21 May
Offer description

Ever wondered how data powers smarter decisions at scale? Join our Trading and Data team where your work will directly influence how we optimise experiences, improve performance, and drive real business impact. This is your chance to apply advanced data science in a fast-paced, high-impact environment where innovation is encouraged, and ideas turn into action.

Your role in action
* Lead end-to-end data science projects from problem framing to deployment
* Build and optimise machine learning models to solve complex business problems involving customer propensity, lifetime value, and behavioural segmentation
* Translate data insights into clear, actionable recommendations for stakeholders
* Collaborate with engineering and product teams to integrate models into production
* Drive experimentation and statistical analysis to improve performance and outcomes
* Mentor peers and contribute to best practice across data science ways of working
What You'll Need To Succeed
* Experienced in Python and SQL for data analysis and modelling
* Hands‐on with machine learning frameworks such as scikit‐learn or TensorFlow
* Familiar with cloud platforms and tools such as AWS, Databricks or MLflow
* Strong understanding of statistics, experimentation, and data‐driven decision making
* Proven capability deploying machine learning models into production environments
* Ability to translate complex problems into practical, scalable data science solutions
* Background in a high frequency, high volume decision domain a bonus
Benefits
* Time for moments that matter - from birthdays to cultural leave, flexible public holidays, and 5 days bonus leave
* 18 weeks paid parental leave for every new parent, no matter your role
* Ticketing to some of the country's biggest racing and sports events
* Access to our leading wellbeing app and programs to help you be your best
* A range of corporate discounts and special offers with leading retailers
* A diverse and inclusive culture where everyone belongs
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