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🇦🇺 Data Scientist Salary in Australia (2026)
Data scientists analyse data and build statistical and machine-learning models to inform business decisions. Demand and pay are highest at companies with large amounts of data to work with (tech, finance, e-commerce), and rise quickly with seniority.
Typical Data Scientist salary range
| Level | Gross / year | Net / year | Net / month |
|---|---|---|---|
| low | A$70,000 | A$56,812 | A$4,734 |
| median | A$125,000 | A$94,212 | A$7,851 |
| high | A$160,000 | A$116,262 | A$9,689 |
Source: SEEK / Glassdoor, rounded for readability. Actual pay varies by employer, seniority, and benefits. Updated periodically.
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Frequently Asked Questions
Do data scientists need a PhD?
Not usually. A degree in statistics, computer science, maths, or a related field is the typical baseline, and many data scientists move into the role from adjacent jobs like analytics or software engineering. A PhD helps for research-heavy roles but isn't required for most industry positions.
How is data science different from data analytics?
Data analysts mostly answer specific business questions with existing data and reporting tools. Data scientists more often build predictive models, write production code, and work with larger or less structured datasets, which is reflected in typically higher pay.
How much does a Data Scientist earn in Australia after tax?
On a typical A$125,000 gross salary, a Data Scientist in Australia takes home around A$94,212 a year, or A$7,851 a month, after income tax and social security (effective rate 24.6%).