Occupation match
Compare daily duties, responsibility level, tools, outputs and work setting against the nominated ANZSCO occupation.
Migration information for Data Scientist applicants, including ACS planning, data science project evidence and possible work visa pathway review where available.
Data Scientist matters should show statistical modelling, machine learning, data engineering context, experimentation, model evaluation, deployment or business application evidence, with duties matched to the nominated occupation.
These are common evidence categories for Data Scientist matters. The correct list depends on the skills assessment pathway, work history and visa subclass.
Compare daily duties, responsibility level, tools, outputs and work setting against the nominated ANZSCO occupation.
Check the assessing authority process, qualification relevance, employment evidence and document rules for the occupation.
Prepare detailed references, workplace records and supporting documents showing the real level of responsibility.
Compare skilled, regional and employer-sponsored options where available, including occupation-list settings, English, work location and evidence strength.
The interactive explorer below loads Data Scientist by default and lets you compare related occupations, visa subclasses and state filters.
These nearby pages can help compare professional, data and employer-sponsored visa planning issues.
Analytics and reporting evidence comparison.
Open guideSoftware evidence and ACS pathway comparison.
Open guideQuantitative and modelling evidence comparison.
Open guideUse these Nestway pages to compare occupation fit, points, invitation context and employer-sponsored options before requesting advice.
Compare Data Scientist with other ANZSCO guides before choosing a nominated occupation.
View all occupation guidesCheck age, English, education, employment, partner factors and nomination points for 189, 190 and 491 planning.
Estimate pointsReview SkillSelect invitation history and nomination allocation context before relying on an EOI strategy.
Review invitation dataData Scientist may need employer, salary, duties and sponsorship evidence reviewed for a 482 pathway.
View 482 pathwayPermanent employer-sponsored planning usually needs nomination, role, work history and skills evidence checked together.
View 186 pathwayRelated Accounting guide for comparing duties, evidence and visa options.
Open related guideRelated Accounting guide for comparing duties, evidence and visa options.
Open related guideRelated Accounting guide for comparing duties, evidence and visa options.
Open related guideSend Data Scientist documents and visa goals so Nestway can review occupation fit and pathway options.
Request assessmentSend your CV, qualification, employment documents, occupation evidence and visa goal so Nestway can review the pathway.