224115
Data Scientist
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.
Relevant occupation lists
CSOL — Core Skills Occupation List Introduced on 7 December 2024, the CSOL is used for the Core Skills stream of the Skills in Demand visa, subclass 482, and the Direct Entry stream of the Employer Nomination Scheme visa, subclass 186. Check the stream-specific requirements and any restrictions on the proposed position.
Visa pathways listed for this occupation
Select a visa to read the fuller explanation on this website, including the requirements you need to consider alongside the occupation listing.
Recorded subclass 189 invitation round
–The recorded subclass 189 results for 4 June 2026 do not show an invitation for this occupation.
The lowest invited score describes what happened in one round. It can change with the occupations selected, places available and candidates waiting, so it is not a fixed score to aim for. Where candidates have the same points, invitation order uses the EOI’s date of effect, broadly the time it reached that score. Check the tie-break information alongside the points result.
States and territories select candidates for the subclass 190 and state-nominated subclass 491 pathways through their own programmes. There is no single national invitation cut-off for those pathways, so look at the relevant jurisdiction’s criteria and published selection information.
Skills assessing authority
Where your visa requires a skills assessment, check the designated authority, the assessment pathway and when the result must be available. The authority sets its own criteria for qualifications, experience and evidence; a positive assessment does not by itself establish that every visa requirement is met.
- ACSAustralian Computer Society Incorporatedhttp://www.acs.org.au/
ANZSCO
The material below reproduces the Australian Bureau of Statistics ANZSCO entry. Read it as the occupation’s classification description, alongside the current visa and assessment requirements.
Occupation description
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.
ANZSCO skill level 1
Skill level 1 ANZSCO broadly places these occupations at bachelor’s degree level or above. At least five years of relevant experience may substitute for the formal qualification in the classification, and some occupations require additional experience or training. This does not automatically replace the qualification requirements of a skills assessment or visa.
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.
Typical tasks
- 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
- 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
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. Econometricians are included in Unit Group 2243 Economists.
ANZSCO classification hierarchy
- 2Professionals
- 22Business, Human Resource and Marketing Professionals
- 224Information and Organisation Professionals
- 2241Mathematical Science Professionals
- 224115Data Scientist
Other occupations in this unit group
Unsure whether this occupation fits your work?
Choosing an occupation involves more than finding a familiar job title. I can review your duties, qualifications and visa history with you, explain which occupation your evidence may support and identify any gaps before you apply for a skills assessment. That discussion can also help you understand how the occupation choice affects the visa options you are considering.
Book a consultationSources: the Department of Home Affairs for occupation lists, visa links, restrictions and assessing authorities; the Australian Bureau of Statistics for ANZSCO descriptions, tasks, skill levels, alternative titles and specialisations. The directory uses ANZSCO 2022 and, where relevant to the visa framework, ANZSCO 2013. Refer to the original entries for current requirements, attribution and reuse terms.
Home Affairs skilled occupation list · ABS occupation classification entry
Estimate your skilled migration points — Check the points categories for visas 189, 190 and 491
Next step
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