OSCA occupation

OSCA 223234: Data Scientist

Applies analytical techniques and scientific procedures to datasets by creating algorithms and using statistical models. Builds and deploys analytics frameworks, such as machine learning, to obtain information for strategic planning and decision-making. This record sits in Data Professionals. Related ANZSIC industry links are included for faster classification cross-checking. Skill level 1 is attached to this occupation record.

Should you use OSCA or ANZSCO?

OSCA 2024 is the current Australian occupation classification for storing, organising and reporting occupation information. Use this OSCA record for current Australian statistical and analytical classification work.

Some migration and administrative programs still specify ANZSCO 2022. Check the exact system named by the agency or form rather than replacing the code automatically.

Check the current ABS guidance on OSCA and ANZSCO use

Official ANZSCO correspondence

Role overview

Applies analytical techniques and scientific procedures to datasets by creating algorithms and using statistical models. Builds and deploys analytics frameworks, such as machine learning, to obtain information for strategic planning and decision-making.

Use this page to confirm the official title, the parent unit group, the task list and the related ANZSIC industry context before using the occupation in classification, reporting or migration-adjacent workflows.

Occupation facts

Skill level
1
Major group
2 Professionals
Sub-major group
22 Business Professionals
Minor group
223 Information and Organisation Professionals
Unit group
2232 Data Professionals

Tasks

  • Prepares data for analysis, cleans data, and recognises and overcomes data anomalies
  • Applies analytics techniques that incorporate mathematical, statistical, programming and database skills
  • Builds and deploys machine learning and artificial intelligence frameworks
  • Applies models to data, and evaluates and adjusts models to discover trends and extract insights
  • Presents data-driven findings and outcomes to key decision-makers and stakeholders
  • Provides strategic input and innovation to organisational data science initiatives

Skill level guidance

Skill level helps place the occupation inside the ABS hierarchy. Use it as a classification cue, then check the actual task list and occupational context before making a decision for HR, visa or reporting work.

How to use this occupation page

Start with the official OSCA title and task list. Then confirm the parent unit group and compare the related occupations on this page if the job title is broad, overlapping or used differently across employers.

The ANZSIC links are there to help when the same occupation appears across several industries and you need the business-side classification as well.

Compare before choosing

Compare OSCA 223234 with related occupations

Compare roles in the same OSCA unit group by their official definition, skill level, tasks and recognised alternative titles.

Comparison pointCurrent code223234 Data Scientist223231 Data Analyst223232 Data Architect
Official role definitionApplies analytical techniques and scientific procedures to datasets by creating algorithms and using statistical models. Builds and deploys analytics frameworks, such as machine learning, to obtain information for strategic planning and decision-making.Gathers, processes, analyses and interprets data using data analytical tools. Communicates findings through reports and data visualisations, such as charts and infographics.Designs, develops and manages complex data models within an organisation.
Skill levelSkill Level 1Skill Level 1Skill Level 1
Key tasks
  • Prepares data for analysis, cleans data, and recognises and overcomes data anomalies
  • Applies analytics techniques that incorporate mathematical, statistical, programming and database skills
  • Builds and deploys machine learning and artificial intelligence frameworks
  • Applies models to data, and evaluates and adjusts models to discover trends and extract insights
  • Sets up processes to securely collect, store, process and validate data
  • Evaluates the accuracy and reliability of data
  • Analyses and interprets data to produce relevant statistics to describe and infer trends and patterns, solve problems and answer data-related queries
  • Applies data analytics and visualisation techniques to gain business insights
  • Develops and maintains a data architecture strategy aligned with business objectives and data management principles
  • Assesses appropriate technologies for data management, storage, analysis and disposal for the organisation
  • Designs conceptual data models and implements metadata standards to provide a clear understanding of organisational data assets
  • Defines data flow, data usage and data integration processes within an organisation

Comparison uses occupation definitions, skill levels, tasks and title variants from the ABS OSCA data files.

Compliance risk score

4 of 4 factors passing

10 / 10
Verified official source
- ABS OSCA occupation record present
Previous edition migration
- OSCA to ANZSCO correspondence attached
Complete hierarchy
- Major, sub-major, minor and unit group links are present
Legacy crosswalk
- Legacy ANZSCO correspondence attached

How we calculate this score →

In this section

Frequently asked questions

What does OSCA 223234 do?

Data Scientist is the current ABS occupation record used to describe a specific occupation. It sits in the OSCA hierarchy and carries skill-level context plus related titles and tasks.

How should I read the skill level?

The skill level tells you the educational or training depth that the ABS associates with the occupation. It is a classification signal, not a salary band or a qualification checklist on its own.

Why is industry context shown on an occupation page?

Industry context helps when the title is common or ambiguous. It shows where the occupation is typically employed so you can compare it with the right ANZSIC family.

Source and trust

Official source
ABS OSCA 2024 release and correspondence tables
Last reviewed
2026-04-17

This site is an independent reference resource. It is not affiliated with, endorsed by, or connected to the ABS, ATO or any Australian Government agency.

Please verify critical classification decisions with the official authority before using them for tax, payroll, licensing, immigration or compliance work.

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