Live job postings
1,103
as of 29 Jun 2026
Demand index
0.59%
% of all job postings
Median salary
$140k
$140,000
Salary range
$80k – $140k
$80,000 – $140,000
Salary distribution
Core skills employers ask for
Python (pandas, scikit-learn, PyTorch)SQL and data queryingStatistical modeling and experimental designMachine learning pipelines (MLflow, Kubeflow)Cloud platforms (AWS SageMaker, Azure ML)Data storytelling and visualization (Tableau, Power BI, matplotlib)Big data tools (Spark, Databricks)Version control and CI/CD for data projectsDomain knowledge (finance, healthcare, retail)LLM fine-tuning and RAG architectures
AI impact on this career
AI is sharply accelerating the automation of routine modeling tasks, such as feature engineering and baseline model selection, which reduces demand for junior data scientists focused on manual execution. In Australia, many organisations are now expecting data scientists to work as 'AI translators' — bridging business problems with pre-built models rather than inventing new algorithms from scratch. The commoditisation of predictive APIs (e.g., AWS Bedrock, Vertex AI) also means that unique value lies in data curation, evaluation, and customisation for local contexts, rather than in generic modelling. Conversely, demand for senior data scientists who can architect end-to-end AI systems and validate them for compliance (e.g., APRA, OAIC) is growing, but the overall volume of pure data scientist postings is plateauing as MLOps and AI engineering roles absorb some of this work.
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