Data Scientist Salary in Australia
The Definitive Guide to APS, Banking, Tech and Consulting Data Scientist Salaries, Skills, and Career Pathways.
Average Graduate Entry
$75,000 – $95,000
Mid-Career Data Scientist
$125,000 – $155,000
Senior / Lead Specialist
$120,750 – $143,200
Employer Super (APS)
15.4%
Career Outlook
Strong Demand
Interactive Take-Home & Super Calculator
Gross Base Salary
$109,485
Excludes superannuation and allowancesEmployer Super (15.4%)
$16,861
Paid directly into your super fundEstimated Income Tax + Medicare
$26,628
Standard residency ratesEstimated Annual Take-Home Pay
After income tax, levies, and HECS$82,857
Monthly Net
$6,905
Fortnightly Net
$3,187
Weekly Net
$1,593
What Does a Data Scientist Do?
A data scientist turns raw data into decisions — building statistical models, machine learning systems, and analytical products that guide government policy, commercial strategy, and operational performance. In Australia, data scientists work across APS agencies, banks, tech companies, consulting firms, and mining.
Typical duties include:
- Exploratory Analysis: Cleaning datasets, profiling quality issues, and identifying patterns for stakeholders.
- Statistical Modelling: Building regression, classification, forecasting, and causal inference models.
- Machine Learning: Training, validating, and monitoring ML models for production use.
- Feature Engineering: Creating predictive variables from transactional, sensor, survey, or text data.
- Experimentation: Designing A/B tests and evaluating policy or product interventions.
- Data Storytelling: Communicating insights through dashboards, briefings, and executive reports.
- MLOps Collaboration: Working with engineers to deploy models safely and monitor drift.
- Ethics & Governance: Managing privacy, bias, model risk, and responsible AI requirements.
- Domain Partnership: Embedding with policy, finance, operations, or product teams to solve real problems.
- Mentoring: Coaching analysts and junior data scientists on methods and tooling.
Data Scientist Salary in Australia
Data scientist salary Australia figures vary sharply by sector. APS roles follow enterprise agreement bands, while banking, consulting, and big tech pay market rates that can rise quickly with scarce ML skills.
- Graduate Data Scientist: Earns $75,000 to $95,000 per year.
- Early Career Data Scientist: Earns $95,000 to $125,000.
- Mid-Career Data Scientist: Commands $125,000 to $155,000.
- Senior / Lead Data Scientist: Commands $155,000 to $190,000.
- Principal / Head of Data Science: Earns $190,000 to $250,000+.
Sector Comparison:APS agencies offer structured progression and 15.4% super. Banks and digital product companies often pay higher base salaries and bonuses. Consulting rewards billable delivery and client impact. Mining analytics roles can match senior private-sector packages for specialists who understand industrial operations.
Australian Government Data Scientist Salary
Government data scientist salary pathways map to APS classifications across analytics, statistics, digital, and risk streams:
- APS 4 & APS 5: Base Salary: $77,865 – $97,400. Graduate and early-career analytics roles.
- APS 6: Base Salary: $100,190 – $118,780. Independent modelling, stakeholder delivery, and junior mentoring.
- EL 1: Base Salary: $120,750 – $143,200. Leading complex analytics products and cross-agency projects.
- EL 2: Base Salary: $150,800 – $182,500. Directing data science capability and enterprise analytics strategy.
Agencies such as ABS, CSIRO Data61, ATO, Services Australia, Defence, and the DTA are among the largest public-sector employers of data scientists.
Agencies Employing Data Scientists
Australia’s leading public-sector data science employers span official statistics, digital services, tax analytics, defence, and research agencies:
Australian Bureau of Statistics (ABS)
Salary Range: $77,865 – $145,000Key Roles: Data Scientist, Statistical Analyst, Methodologist, Machine Learning Specialist
Agreement: ABS Enterprise Agreement 2024–2027
CSIRO (Data61 & Scientific Computing)
Salary Range: $78,900 – $185,000Key Roles: Data Scientist, AI Researcher, Machine Learning Engineer, Research Scientist
Agreement: CSIRO Enterprise Agreement 2024–2027
Services Australia
Salary Range: $77,865 – $145,000Key Roles: Data Scientist, Analytics Officer, Fraud Analytics Specialist
Agreement: Services Australia Enterprise Agreement 2024–2027
Australian Taxation Office (ATO)
Salary Range: $77,865 – $145,000Key Roles: Data Scientist, Risk Analytics Specialist, Compliance Modeller
Agreement: ATO Enterprise Agreement 2024–2027
Department of Defence
Salary Range: $77,865 – $145,000Key Roles: Defence Data Scientist, Intelligence Analyst, Operational Research Scientist
Agreement: Defence Enterprise Agreement 2024–2027 (DECA)
Digital Transformation Agency (DTA)
Salary Range: $88,085 – $160,000Key Roles: Data Scientist, Digital Analytics Lead, AI Policy Advisor
Agreement: DTA Enterprise Agreement 2024–2027
APS Salary Levels for Data Scientists
Public sector salaries are set under standard APSC levels. The table below outlines how typical roles map to these levels:
| APS Level | Typical Role | Salary Range (Base) |
|---|---|---|
| APS 4 | Graduate Data Scientist | $77,865 – $86,500 |
| APS 5 | Data Scientist | $88,085 – $97,400 |
| APS 6 | Senior Data Scientist | $100,190 – $118,780 |
| EL 1 | Lead Data Scientist | $120,750 – $143,200 |
| EL 2 | Principal Data Scientist | $150,800 – $182,500 |
Data Science Focus Areas
Data science covers a wide array of specialisations. This page focuses on data scientists (not data analysts or data engineers) and covers common specialisations across government and industry:
Machine Learning Specialist
Builds predictive models, feature pipelines, and production ML systems. Common in banks, tech product companies, and CSIRO Data61 research teams.
Government Analytics / Official Statistics
Applies statistical methods to national datasets, survey design, and public policy evaluation inside ABS and other APS agencies.
Fraud & Risk Analytics
Detects anomalous behaviour across tax, welfare, payments, and credit systems using supervised and unsupervised models.
AI / Deep Learning Engineer-Scientist
Works on NLP, computer vision, and generative AI systems. Overlaps with ML engineering but retains a strong experimental science focus.
Healthcare & Life Sciences Data Scientist
Analyses clinical, genomics, and population-health data to improve diagnostics, trials, and service planning.
Mining & Industrial Data Scientist
Optimises production, predictive maintenance, and autonomous systems using sensor and operational datasets.
Consulting Data Scientist
Delivers analytics engagements across industries, from strategy dashboards to full ML deployments for enterprise clients.
Principal / Head of Data Science
Sets analytics strategy, governs model risk, and leads multi-disciplinary data science teams across an organisation.
Qualifications & Pathways
Securing a role as a data scientist usually requires a quantitative degree plus demonstrable coding and modelling skills.
- Bachelor of Data Science: Or Computer Science, Statistics, Mathematics, AI, or Econometrics.
- Honours / Masters / PhD: Valued for research-heavy, specialised ML, or senior science roles — especially at CSIRO Data61.
- Technical Stack: Python, R, SQL, cloud platforms, and visualisation tools (Power BI, Tableau).
- Portfolio Evidence: GitHub projects, Kaggle work, or production analytics delivery often matter as much as credentials.
Career Progression
The typical career timeline spans from graduate training to senior executive management:
↓
Data Scientist
↓
Senior Data Scientist
↓
Lead Data Scientist
↓
Principal Data Scientist
↓
Head of Data Science / Chief Data Officer
Salary by Experience
Earning potential increases steadily as data scientists build modelling depth, production delivery experience, and stakeholder leadership:
Graduate Data Scientist
$75,000 – $95,000Experience: 0–2 years | APS Equivalent: APS 4 / APS 5
Early Career Data Scientist
$95,000 – $125,000Experience: 2–5 years | APS Equivalent: APS 5 / APS 6
Mid-Career Data Scientist
$125,000 – $155,000Experience: 5–8 years | APS Equivalent: APS 6 / EL 1
Senior / Lead Data Scientist
$155,000 – $190,000Experience: 8–12 years | APS Equivalent: EL 1 / EL 2
Principal / Head of Data Science
$190,000 – $250,000Experience: 12+ years | APS Equivalent: EL 2 / SES
Highest Paying Employers
Certain sectors stand out for premium data scientist packages:
- Big Tech / Digital Product: Atlassian, Canva and global tech firms often lead base and equity packages.
- Banking & Financial Services: Major banks and fintechs pay strongly for risk, fraud, and personalisation talent.
- Consulting: Competitive salaries plus rapid progression for high performers.
- Mining Analytics: Industrial data science roles can exceed $200,000 for senior specialists.
- Federal Research (CSIRO Data61): Structured research scales with 15.4% superannuation.
Benefits of Data Science Careers
Employment packages, particularly in government or major scientific organizations, feature various structured benefits:
- 15.4% Superannuation: Public sector scientific roles provide employer super contributions far exceeding the 11.5% private sector average.
- Flexible & Hybrid Work: Many modelling, analysis, and writing-heavy roles allow hybrid work arrangements.
- Generous Leave: Standard 4 weeks annual leave, flex-time credits, and paid parental leave.
- Research Allowances: Learning budgets, conference support, and hybrid work common in analytics teams.
- Professional Development: Agency funding for cloud, ML, and analytics professional development.
- Conference Support: Financial support for presenting research at national or international data science and AI conferences.
- Study Assistance: Subsidies and paid study leave for obtaining postgraduate masters or doctoral qualifications.
Job Outlook
The employment outlook for data scientists remains strong, driven by:
- AI & Machine Learning Adoption: Organisations embedding predictive and generative AI into products and services.
- Government Digital Transformation: Analytics demand across ABS, Services Australia, ATO, Defence, and digital agencies.
- FinTech & Banking Risk: Continuous investment in fraud, credit, and customer analytics.
- Healthcare Data: Growth in clinical analytics, population health, and life-sciences research.
- Mining Automation: Sensor and operational optimisation programs across resources companies.