Data Scientist
Use statistics, programming and machine learning to turn complex data into predictions, insights and better decisions.
What They Do
Data Scientists use mathematics, statistics and programming to investigate large or complex datasets and solve business, scientific and operational problems.
They clean and prepare data, develop statistical models, create algorithms and use machine learning or artificial intelligence to identify patterns and make predictions.
They also evaluate whether models are performing correctly and communicate their findings to managers, technical teams and other decision-makers. Australia's official occupation definition specifically includes building machine-learning frameworks, applying statistical models and providing strategic input into data-science initiatives.
Who This Career Suits
Data science suits people who enjoy mathematics, technology and solving problems where the answer is not immediately obvious.
It can particularly appeal to someone who likes both programming and analytical thinking.
Strong Data Scientists also need communication skills because sophisticated analysis is only useful if they can explain what it means and how an organisation should act on it.
Key Skills
Data Analysis, Analytical Thinking, Programming, Machine Learning, Statistics, Problem Solving, Critical Thinking, Communication
Work Environment
Office, Hybrid, Remote, Corporate, Team-Based
Education & Training
Data Scientists commonly hold university qualifications in areas such as:
data science, statistics, mathematics, computer science, artificial intelligence, engineering or another quantitative discipline.
JSA classifies Data Scientist as a Skill Level 1 occupation, generally corresponding to a bachelor's degree or higher qualification. Jobs and Skills Australia
Strong technical foundations usually include:
Python or R, SQL, statistics, probability, data visualisation, machine learning and database concepts.
For more advanced roles, postgraduate study in data science, statistics, AI or machine learning can also be valuable.
Career Changer Pathway
Data science can be accessible to people moving from data analysis, software development, engineering, mathematics, science, finance or business intelligence.
Someone already working as a Data Analyst may progress by developing stronger programming, statistics and machine-learning capabilities.
A portfolio showing real projects can be valuable—for example:
data preparation → model development → evaluation → visualisation → explanation of business impact.
Early Career
Junior Data Scientists commonly clean datasets, conduct exploratory analysis, build basic models and support more experienced data professionals.
They develop practical skills using programming languages, statistical tools and real organisational data.
Mid Career
Experienced Data Scientists independently develop and deploy more sophisticated models, work with stakeholders and help organisations use data for strategic decisions.
They may specialise in machine learning, forecasting, recommendation systems, natural-language processing, experimentation or optimisation.
Senior / Veteran Career
Senior Data Scientists may progress into Lead Data Scientist, Principal Data Scientist, Machine Learning Lead or Data Science Manager roles.
Others move into AI leadership, data engineering, analytics management, consulting or broader technology leadership.
Salary Guide
Early Career
90000
Mid Career
125000
Senior / Veteran
165000
Indicative annual salary (AUD)
Indicative annual salary (AUD)
Indicative annual salary (AUD)
Salary data source:
Indeed Australia
Salary data source URL:
Date :
5 October 2026 at 12:00:00 am
Career Outlook
Data Scientist is now formally recognised as a standalone occupation in Australia's new OSCA classification, reflecting how much the profession has developed.
JSA currently records around 3,400 Data Scientists, with about 88% working full-time, a median age of 34 and Professional, Scientific and Technical Services as the largest employing industry. Jobs and Skills Australia
The broader Data Professionals group contains about 32,700 workers, and JSA's wider employment projections expect Professional occupations to grow by around 21% over the decade to 2035. AI and machine-learning skills also remain particularly prominent within technical data and technology occupations. Jobs and Skills Australia
The main limitation is that the Data Scientist-specific OSCA profile is still using 2021 Census employment data. JSA plans to add newer Labour Force and projection data to OSCA profiles in November 2026.
Job Outlook :
Outlook Source :
Strong
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