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ANZSCO 224115

Data Scientist

CSOLSkill level 1Assessed by ACSNo Shortage

General information, not immigration advice. Data as at 2026-10-22.

About this occupation

ANZSCO 2022

Applies analytical techniques and scientific procedures to large datasets by creating advanced algorithms and data models. Builds and deploys machine learning frameworks to obtain information for strategic planning and decision making.

Skill level 1

Unit group 2241

Mathematical Science Professionals

Mathematical Science Professionals develop and apply actuarial, mathematical, statistical and quantitative principles and techniques to solve problems in a range of fields such as business and finance, scientific and social research, and engineering. Econometricians are excluded from this unit group.

Indicative skill level

In Australia and New Zealand

Most occupations in this unit group have a level of skill commensurate with a bachelor degree or higher qualification. In some instances relevant experience and/or on-the-job training may be required in addition to the formal qualification (ANZSCO Skill Level 1).

Registration or licensing may be required.

Tasks include

  • Defining, analysing and solving complex financial and business problems relating to areas such as insurance premiums, annuities, superannuation funds, pensions and dividends
  • Examining financial projections for general insurance companies, finance companies, government and other organisations
  • Designing new types of policies, assessing risks and analysing investments in life insurance, superannuation funds, health insurance, friendly societies, financial markets and other areas
  • Formulating mathematical models to simulate processes
  • Applying models to experimental observations, and adjusting and recasting the models
  • Using numerical analysis methods to develop algorithms and perform computations
Show all 12 tasks
  • Liaising with management and clients to determine the subject or area to be surveyed or examined
  • Specifying the data to be collected, and the methodology to be used in collection and analysis
  • Evaluating and describing the reliability and utility of source information
  • Analysing and interpreting data, and producing relevant statistics to describe and infer particular trends and patterns
  • Data mining and data cleansing to discover trends to extract insight
  • Building and deploying machine learning frameworks

Occupations in this unit group

Source: Australian Bureau of Statistics, ANZSCO 2022. CC BY 4.0.

ANZSCO 2022 (the edition the CSOL uses for the 482 and 186 visas)

Title in this edition: Data Scientist, skill level 1

Major group
2 Professionals
Sub-major group
22 Business, Human Resource and Marketing Professionals
Minor group
224 Information and Organisation Professionals
Unit group
2241 Mathematical Science Professionals

Occupation Shortage List (2026)

National rating
No Shortage
Confidence
On-balance
Rated on
ANZSCO 2022

Source: Jobs and Skills Australia, 2026 Occupation Shortage List - 6 digit ANZSCO and OSCA, released 21 October 2026. CC BY 4.0.

Source: Australian Bureau of Statistics, ANZSCO (CC BY 4.0). Source: Department of Home Affairs, Skilled occupation list (CC BY 4.0). Source: Jobs and Skills Australia, 2026 Occupation Shortage List. © Commonwealth of Australia, CC BY 4.0. Source: Australian Bureau of Statistics, Employee Earnings and Hours, Australia, May 2025. © Commonwealth of Australia, CC BY 4.0. Search another occupation