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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

Compare Data Scientist Salaries

Interactive Take-Home & Super Calculator

Gross Base Salary

$109,485

Excludes superannuation and allowances

Employer Super (15.4%)

$16,861

Paid directly into your super fund

Estimated Income Tax + Medicare

$26,628

Standard residency rates

Estimated 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$145,000

Key Roles: Data Scientist, Statistical Analyst, Methodologist, Machine Learning Specialist

Agreement: ABS Enterprise Agreement 2024–2027

Official EA Mapped

CSIRO (Data61 & Scientific Computing)

Salary Range: $78,900$185,000

Key Roles: Data Scientist, AI Researcher, Machine Learning Engineer, Research Scientist

Agreement: CSIRO Enterprise Agreement 2024–2027

Official EA Mapped

Services Australia

Salary Range: $77,865$145,000

Key Roles: Data Scientist, Analytics Officer, Fraud Analytics Specialist

Agreement: Services Australia Enterprise Agreement 2024–2027

Official EA Mapped

Australian Taxation Office (ATO)

Salary Range: $77,865$145,000

Key Roles: Data Scientist, Risk Analytics Specialist, Compliance Modeller

Agreement: ATO Enterprise Agreement 2024–2027

Official EA Mapped

Department of Defence

Salary Range: $77,865$145,000

Key Roles: Defence Data Scientist, Intelligence Analyst, Operational Research Scientist

Agreement: Defence Enterprise Agreement 2024–2027 (DECA)

Official EA Mapped

Digital Transformation Agency (DTA)

Salary Range: $88,085$160,000

Key Roles: Data Scientist, Digital Analytics Lead, AI Policy Advisor

Agreement: DTA Enterprise Agreement 2024–2027

Official EA Mapped

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 LevelTypical RoleSalary Range (Base)
APS 4Graduate Data Scientist$77,865 – $86,500
APS 5Data Scientist$88,085 – $97,400
APS 6Senior Data Scientist$100,190 – $118,780
EL 1Lead Data Scientist$120,750 – $143,200
EL 2Principal 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.

Salary Potential: $120,000 – $200,000
Key Employers: Banks, Atlassian, Canva, CSIRO Data61

Government Analytics / Official Statistics

Applies statistical methods to national datasets, survey design, and public policy evaluation inside ABS and other APS agencies.

Salary Potential: $88,000 – $145,000
Key Employers: ABS, Services Australia, ATO, Treasury

Fraud & Risk Analytics

Detects anomalous behaviour across tax, welfare, payments, and credit systems using supervised and unsupervised models.

Salary Potential: $110,000 – $180,000
Key Employers: ATO, Services Australia, banks, insurers

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.

Salary Potential: $130,000 – $230,000
Key Employers: Big tech, consultancies, defence AI programs

Healthcare & Life Sciences Data Scientist

Analyses clinical, genomics, and population-health data to improve diagnostics, trials, and service planning.

Salary Potential: $105,000 – $175,000
Key Employers: CSIRO, health departments, biotech, hospitals

Mining & Industrial Data Scientist

Optimises production, predictive maintenance, and autonomous systems using sensor and operational datasets.

Salary Potential: $120,000 – $210,000
Key Employers: BHP, Rio Tinto, Fortescue, industrial tech

Consulting Data Scientist

Delivers analytics engagements across industries, from strategy dashboards to full ML deployments for enterprise clients.

Salary Potential: $100,000 – $190,000
Key Employers: Accenture, Deloitte, PwC, KPMG, EY

Principal / Head of Data Science

Sets analytics strategy, governs model risk, and leads multi-disciplinary data science teams across an organisation.

Salary Potential: $180,000 – $250,000+
Key Employers: Banks, tech, government SES-equivalent leadership

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:

Graduate Data Scientist

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$95,000

Experience: 0–2 years | APS Equivalent: APS 4 / APS 5

Early Career Data Scientist

$95,000$125,000

Experience: 2–5 years | APS Equivalent: APS 5 / APS 6

Mid-Career Data Scientist

$125,000$155,000

Experience: 5–8 years | APS Equivalent: APS 6 / EL 1

Senior / Lead Data Scientist

$155,000$190,000

Experience: 8–12 years | APS Equivalent: EL 1 / EL 2

Principal / Head of Data Science

$190,000$250,000

Experience: 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.

Frequently Asked Questions

How much does a data scientist earn in Australia?
Data scientist salaries in Australia typically range from about $75,000 for graduates to over $200,000 for senior and principal specialists. Mid-career data scientists commonly earn between $125,000 and $155,000 base salary.
What is the average data scientist salary Australia?
The average base salary for a mid-career data scientist in Australia is approximately $135,000 per year. Private-sector tech and banking packages are often higher, while APS roles add 15.4% employer superannuation.
What is the graduate data scientist salary?
Graduate data scientists typically earn $75,000 to $95,000 base salary in government graduate programs or private graduate intakes, often mapped to APS 4 or APS 5 in the public service.
What is entry level data scientist salary Australia?
Entry-level data scientists with 1–3 years of experience usually earn $95,000 to $125,000 depending on sector, coding strength, and whether the role is public or private.
What is the APS data scientist salary?
APS data scientist salaries follow classification bands. APS 5–6 roles commonly sit between $88,085 and $118,780, while EL 1 specialists earn about $120,750 to $143,200 base salary, plus 15.4% super.
Do private sector data scientists earn more than government?
Often yes for base salary — especially in big tech and banking. Government roles typically compensate with higher superannuation (15.4%), stronger leave, and job security.
What is senior data scientist salary Australia?
Senior and lead data scientists commonly earn $155,000 to $190,000 base salary, with principal and head-of-function roles reaching $190,000 to $250,000+ in competitive private markets.
Is data scientist the same as data analyst?
No. Data analysts focus more on reporting and BI, while data scientists typically build statistical or machine learning models and production analytics systems. This page covers data scientists specifically.
Which employers hire data scientists in Australia?
Major employers include ABS, CSIRO Data61, Services Australia, ATO, Defence, DTA, the major banks, Atlassian, Canva, consulting firms, and mining companies.
What skills do data scientists need?
Core skills include Python or R, SQL, statistics, machine learning, data visualisation (Power BI/Tableau), and increasingly cloud platforms and MLOps practices.
Do I need a PhD to become a data scientist?
No. Many roles accept Bachelor or Masters degrees in data science, statistics, computer science, or mathematics. A PhD helps for research-heavy or specialised ML science roles.
What is principal data scientist salary?
Principal data scientists and heads of data science commonly earn $190,000 to $250,000+ base, with total packages higher where bonuses or equity apply.
Is data science a good career in Australia?
Yes. Demand remains strong across government digital transformation, banking, AI adoption, defence analytics, healthcare data, and mining automation.
Can data scientists work remotely in Australia?
Many private-sector and some APS analytics roles offer hybrid work. Fully remote is less common in clearance-heavy defence or sensitive government datasets.
What is government data scientist salary Australia?
Government data scientists typically earn from APS 4/5 graduate bands through EL 1–EL 2 leadership, roughly $78,000 to $182,500 base depending on classification and agency EA.