DATA SCIENTIST | ANZSCO 224115

WHAT DOES A DATA SCIENTIST DO?

A Data Scientist under ANZSCO 224115 applies analytical techniques and scientific procedures to large datasets by creating advanced algorithms and data models, and builds and deploys machine learning frameworks to obtain information for strategic planning and decision making. The occupation sits within ANZSCO Unit Group 2241, Mathematical Science Professionals, and carries a Skill Level 1 rating in Australia. Data Scientist is one of the newer additions to this unit group, reflecting how central the role has become across Australian industry.

Typical day to day duties include:

• Applying analytical techniques and scientific procedures to large, complex datasets
• Creating advanced algorithms and statistical or machine learning models to solve business or research problems
• Building and deploying machine learning frameworks into production systems
• Cleaning, transforming and engineering features from raw data to make it suitable for modelling
• Evaluating model performance and iterating on approaches to improve accuracy and reliability
• Translating technical findings into insights that support strategic planning and business decision making
• Working with engineering and product teams to integrate models into live applications and workflows

SUBCLASS 482 FOR DATA SCIENTISTS – CSOL LIST

The Subclass 482 Skills in Demand visa replaced the older Temporary Skill Shortage visa in December 2024, and a new occupation list came with it. The Core Skills Occupation List, known as the CSOL, brought together the previous strategic skills lists into one single list covering several hundred occupations across professional, trade and technical fields.

Data Scientist sits on the CSOL under the code ANZSCO 224115, alongside closely related roles such as Data Analyst, Mathematician and Statistician. This is the code an employer nominates against for a Core Skills stream 482 visa, and it is also the same code used where the occupation applies to the Direct Entry stream of the Subclass 186 Employer Nomination Scheme. Data Scientist was added to the CSOL as part of the December 2024 overhaul, and was confirmed for skills assessment from early 2025 onwards alongside Data Analyst and several other newly listed technology occupations.

SUBCLASS 482 ANZSCO REQUIREMENT FOR DATA SCIENTISTS

Your nominated occupation has to genuinely reflect the work you will actually be doing for your sponsoring employer. The Department looks past job titles and checks the duties set out in your nomination against the ANZSCO definition for 224115.

Data Scientist sits at ANZSCO Skill Level 1, which lines up with a Bachelor degree or higher qualification in a relevant field. If the role on paper looks closer to data preparation, cleaning and reporting rather than building and deploying predictive models and machine learning frameworks, the nomination may need to be assessed against a related but different occupation code, such as Data Analyst, instead. Getting the occupation description right at this stage saves a lot of back and forth later.

ANZSCO requirement for Data Scientists includes a Bachelor degree or higher qualification in a relevant field such as data science, computer science, statistics, mathematics or a related quantitative discipline (ANZSCO Skill Level 1).

SC 482 VISA REQUIREMENT FOR DATA SCIENTISTS

To be granted a Subclass 482 visa under the Core Skills stream as a Data Scientist, applicants generally need to meet the following:

• A genuine, approved sponsor. Your employer must be an approved Standard Business Sponsor, or in the process of becoming one
• An approved nomination for ANZSCO 224115, with a salary at or above the Core Skills Income Threshold and the market rate for the role
• At least one year of full time equivalent work experience in data science, machine learning or a closely related field, within the past five years
• English requirements as outlined further below, unless an exemption applies
• A clear health examination through an approved panel physician
• Police clearance certificates from every country lived in for twelve months or more

The Core Skills Income Threshold, which sets the minimum salary an employer must offer for a Core Skills stream nomination, is indexed and reviewed every year, so it is always worth checking the current figure on the Home Affairs website before a nomination is lodged. The visa itself can be granted for a period of one to four years, depending on individual circumstances, and a partner and dependent children can be included as secondary applicants.

SUBCLASS 482 VISA APPLICATION CHARGES

Visa application charges are indexed and change from 1 July each year. The government charges are structured as a base charge for the main applicant, a matching charge for each adult dependent aged 18 or over, and a reduced charge for each dependent child under 18. Because these figures move every financial year, it is worth confirming the current charge on the Home Affairs website at the time of lodgement rather than relying on a figure from a previous year, and budgeting separately for any nomination fee, the Skilling Australians Fund levy paid by the employer, and English test, health check or skills assessment costs.

SKILLS ASSESSMENT REQUIREMENT FOR DATA SCIENTIST – SUBCLASS 482 SKILLS IN DEMAND (SID) VISA

Vocational Education and Training Assessment Services, known as VETASSESS, is the relevant skills assessing authority for Data Scientist (ANZSCO 224115). VETASSESS confirmed it would assess this occupation, along with Data Analyst, from early 2025 onward as part of a broader update covering newly added CSOL occupations.

A skills assessment is not required for every Subclass 482 Skills in Demand visa applicant. It only becomes mandatory where the Department of Home Affairs' legislative instrument on mandatory skills assessments lists the specific occupation and passport country combination as requiring one. That mandatory list currently focuses heavily on trade and technical occupations, and Data Scientist does not appear among the occupations named. Even so, mandatory requirements are reviewed periodically, so applicants and employers should always confirm the current position before lodging.

Even where it is not mandatory, a positive VETASSESS skills assessment gives an employer and a case officer clear, independent confirmation that an applicant's qualifications and experience genuinely match the nominated occupation, and many sponsors ask for one as standard practice regardless of the legal minimum.

The VETASSESS assessment for this occupation generally requires:

• A Bachelor degree or higher qualification in a field relevant to data science, such as Data Science, Computer Science, Statistics, Mathematics, Machine Learning or a related quantitative discipline
• At least one year of post qualification, highly relevant employment at an appropriate skill level, completed within the last five years
• Both the level and the relevance of the qualification's major field of study are assessed together with the claimed employment history
• Applicants with qualifications in adjacent technical fields may still be considered where the program included sufficient subjects in statistics, algorithms, machine learning or data modelling

Applicants should provide comprehensive documentary evidence, including:

• Academic transcripts and certified qualification documents
• Employment reference letters on company letterhead outlining job title, duties, employment dates and hours worked
• Payslips, taxation records, or other evidence supporting the claimed employment
• Examples of models, algorithms or technical project work where available, to help demonstrate the highly relevant nature of the role

Providing complete and well organised evidence helps VETASSESS assess an application efficiently and may reduce processing delays.

SUBCLASS 186 FOR DATA SCIENTISTS – EMPLOYER NOMINATION SCHEME

The Subclass 186 Employer Nomination Scheme is Australia's main permanent employer sponsored visa, and for many Data Scientists already working in Australia on a 482 visa, it is the natural next step. The Direct Entry stream is the relevant pathway for applicants who have not yet worked long enough with their employer to qualify for the Temporary Residence Transition stream, or who are applying from outside Australia altogether.

Unlike the 482, a grant under the 186 gives the applicant and their family permanent residency from the day it is approved, with no further visa renewals needed.

SC 186 VISA REQUIREMENT FOR DATA SCIENTISTS

For the Direct Entry stream, applicants generally need to meet the following:

• A nomination from an approved Australian employer for a genuine, full time, ongoing position as a Data Scientist
• A salary that meets or exceeds the relevant income threshold and the market rate for the role
• A positive skills assessment in the nominated occupation, unless an exemption applies
• At least three years of relevant work experience, unless exempt from the skills assessment and experience requirements
• Being under 45 years of age at the time of application, with limited exemptions
• Competent English, at an overall IELTS score of 6.0 with no band below 6.0, or an accepted equivalent
• Health and character clearances

This is a noticeably higher bar than the 482, both on English and on work experience, which is one reason many Data Scientists use the 482 as a stepping stone before applying for the 186.

SKILLS ASSESSMENT REQUIREMENT FOR DATA SCIENTISTS – SC 186 VISA

Unlike the 482, a positive skills assessment from VETASSESS is mandatory for almost every Direct Entry 186 applicant in this occupation, and it needs to be current at the time the visa application is lodged.

The same qualification and employment criteria described above apply here. Because the Direct Entry stream also requires three years of relevant experience on top of the assessment itself, it helps to start gathering employment evidence, reference letters and qualification documents well before applying, since both VETASSESS processing and document preparation take time.

ENGLISH LANGUAGE REQUIREMENTS

Every skilled or employer sponsored visa in Australia comes with an English language test, and the score needed depends on which visa is being applied for. For Data Scientists looking at the 482 and 186 pathways, the bar is different at each stage, which catches a number of applicants off guard.

For the Subclass 482 Skills in Demand visa, Core Skills stream, applicants generally need Competent English, which works out to an overall IELTS score of 5.0 with no band below 5.0, or an accepted equivalent test result.

For the Subclass 186 Employer Nomination Scheme, Direct Entry stream, the standard is higher. Competent English here means an overall IELTS score of 6.0 with no band below 6.0.

EXEMPTIONS ON ENGLISH LANGUAGE REQUIREMENTS

Citizens of the United Kingdom, the United States, Canada, New Zealand and the Republic of Ireland are generally exempt from formal English testing, along with applicants who have completed a set period of study conducted in English. Test results typically need to be current within three years of lodgement, so if a score is getting old, it is worth sitting the test again before applying rather than finding out partway through processing.

PROFESSIONAL RECOGNITION IN AUSTRALIA (DATA SCIENTIST)

A positive skills assessment and an approved visa get an applicant through the migration process, and Data Scientist is not a licensed occupation in Australia. There is no personal registration or exam to pass before working in the role.

Many data scientists build credibility through recognised technical certifications in platforms such as AWS, Google Cloud or Microsoft Azure, or through membership of bodies such as the Australian Computer Society. This kind of recognition is voluntary, but a strong portfolio of published models, technical certifications and demonstrated project work can support a stronger visa nomination case by giving an employer and a case officer additional confidence in an applicant's practical skill level.

SALARY EXPECTATIONS IN AUSTRALIA

Pay for Data Scientists varies considerably by specialisation and city. Sydney consistently commands the highest salaries in the country, and roles focused on machine learning and large language models, particularly at senior and principal level, have pushed pay well above earlier forecasts as demand for artificial intelligence expertise has grown.

WHY DATA SCIENTISTS ARE IN DEMAND IN AUSTRALIA

• Rapid adoption of artificial intelligence and machine learning across finance, retail, healthcare and government has sharply increased demand for people who can build and deploy real models, not just analyse data
• Local universities are producing graduates, but experienced practitioners who have shipped production machine learning systems remain in short supply
• Large employers are expanding dedicated data science and AI teams rather than relying on a handful of generalist analysts
• Competition for senior data science talent between technology companies, banks and consultancies has pushed salaries up faster than most other professional occupations
• The inclusion of Data Scientist on the Core Skills Occupation List reflects this recognised, ongoing shortage of qualified data science professionals at a national level

EMPLOYER SPONSORSHIP FOR DATA SCIENTISTS IN AUSTRALIA

Australian banks, technology companies, retailers, consultancies and government agencies can sponsor overseas Data Scientists through the Skills in Demand (Subclass 482) visa, the Employer Nomination Scheme (Subclass 186) visa, and other eligible employer sponsored visa pathways when suitably qualified Australian workers are unavailable. With demand for machine learning and AI skills continuing to outpace local supply, employer sponsorship has become an effective way for these organisations to recruit experienced overseas data scientists and close workforce gaps.

At Migration Republic, we assist employers with every stage of the employer sponsorship process, including Standard Business Sponsorship applications, labour market testing where required, nomination applications, visa lodgements, and ongoing sponsorship compliance. Our Registered Migration Agents make sure your business meets all Department of Home Affairs requirements while keeping the sponsorship process as straightforward as possible.

Whether you need to sponsor a Data Scientist for a bank, a technology company, a retail analytics team, or a consulting practice, we can help you identify the most suitable employer sponsored pathway. We work with businesses of all sizes across Australia, helping employers sponsor skilled data scientists under the Subclass 482 Skills in Demand visa and secure permanent residence pathways through the Subclass 186 Employer Nomination Scheme, where eligible.

We help employers with:

• Standard Business Sponsorship applications
• Sponsoring overseas Data Scientists under the Skills in Demand (Subclass 482) visa
• Employer Nomination Scheme (Subclass 186) applications
• Labour Market Testing
• Employer nomination applications
• Employer sponsorship compliance obligations
• Permanent residency pathways for sponsored data scientists

If your business is looking to sponsor a Data Scientist in Australia or recruit a skilled overseas machine learning professional, Migration Republic can provide expert advice and manage the entire employer sponsorship process from start to finish, allowing you to focus on running your business while we take care of your migration requirements.

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HOW MIGRATION REPUBLIC CAN HELP YOU

Migrating to Australia as a Data Scientist means navigating a VETASSESS skills assessment, demonstrating a relevant qualification and employment history, and two visa pathways with different English and experience thresholds. Our registered migration agents at Migration Republic handle this every day, and we can help you get it right the first time.

Here's what we take care of for you:

• Confirming that ANZSCO 224115 genuinely matches your qualifications and day to day duties
• Preparing a complete, decision ready VETASSESS skills assessment application
• Structuring your employment references so they meet VETASSESS requirements
• Comparing the 482 and 186 pathways to find the right fit for your circumstances
• Managing your full visa application from lodgement through to grant

Frequently Asked Questions – Employer Sponsorship for Data Scientists