Data Scientist Jobs in Australia: Salary, Visa & Career 2026

Written by

Moniza Altaf

Fact check by

Shreya Pandey

Updated on

Jun 21,2026

Data Scientist Jobs in Australia: Salary, Visa & Career Guide - TerraTern

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Key Highlights

Data scientist jobs in Australia: Here's where to earn a lot of money in 2026. Skills will be in high demand in tech, finance, and the healthcare industry, driven by the growth of AI and big data. The average data scientist jobs salary in Australia is around $122,000 AUD per year, and junior data scientist jobs in Australia begin at $101,000, depending on cities such as Sydney and Melbourne. This is a comprehensive guide with details presented about visa routes such as Skills in Demand (SID), Skilled Migration, eligibility, and career trajectory of the aspiring professionals, especially from India.

 

What Is the Current State of Data Scientist Jobs in Australia in 2026?

decorated-train-with-2026-theme-and-red-bow-What Is the Current State of Data Scientist Jobs in Australia in 2026/TerraTern

Australia's Data Scientist Jobs in Australia market is booming in 2026, and there are thousands of jobs on SEEK(1,630+), LinkedIn(3,000+), and Glassdoor also reported 185+ verified roles, which is a positive signal for the employer demand.

  • Demand Drivers: Infection of AI/ML, Generative AI/Language Learning Models, Digital Transformation in Finance, Healthcare, Retail, Government, Energy, etc., fuels high hiring surges.

  • Growth Metrics: Percentage per GetGIS ~30% annual demand growth, National Skills Commission data science "emerging occupation" with exceptional prospects

  • Job Availability: High volume listings preference of migrant skilled workers with the 2026 Skills in Demand (SID) Visa, to strongly encourage the pathways of tech jobs in light of structural changes.This boom speaks volumes about one of the best job options laced with innovation and stability.

As per TerraTern Expert Shreya, Australia's data science job market is not just growing, it is structurally shifting toward AI and ML specialisations; professionals who upskill in LLMs and cloud-native tools will have a significant hiring advantage in 2026.

Also Read: Data Analyst Salary in Australia for Indians: Update

What Are the Different Data Scientist Job Roles Available in Australia For Indians in 2026?

Data scientist jobs in Australia range from entry-level to executive, and each of them has unique responsibilities accompanied by a salary range according to experience levels. Junior data scientist jobs in Australia offer excellent opportunities for fresh grads, while senior roles require leadership in AI strategy.

Role

Experience

Salary Range (AUD/yr)

Source

Junior Data Scientist

0–2 years

$73,000–$96,000

Glassdoor, Jan 2026

Mid-Level Data Scientist

2–5 years

$96,000–$130,000

PayScale / Indeed

Senior Data Scientist

5–8 years

$146,000–$210,000

Glassdoor, 2026

Principal Data Scientist

8–10+ years

$150,000–$350,000

GetGIS / VisaPlan

Data Science Manager

5+ years

$140,000–$180,000

SEEK, 2026

What Does a Junior Data Scientist Do in Australia?

Junior data scientist jobs in Australia focus on basic tasks such as data cleaning and basic modelling under supervision. Typical: 0-2 years exp. Data science/CS deg.

Responsibility

Skills Required

Salary (AUD/year)

Top Companies

Data cleaning, SQL queries, reporting

Python, R, SQL, scikit-learn

$73,000–$96,000 nationally; $66,250–$86,250 Sydney

International Institute of Data & Analytics, NTT, Macquarie Group, PWC, Amazon

What Does a Mid-Level Data Scientist Do in Australia?

Mid-level data scientist jobs in AU. Independently deploy and work with stakeholders to model data. Experience: 2 - 5 years, Focused on communication.

Responsibility

Skills Required

Salary (AUD/year)

ML pipelines, A/B testing, cloud deployment

AWS/Azure/GCP, advanced ML

$96,000–$130,000 

What Does a Senior Data Scientist Do in Australia?

Senior roles in data scientist jobs in Australia include being in charge of teams and defining the architecture for AI. Requires 5+ years of high-impact decision-making

Responsibility

Skills Required

Salary (AUD/year)

Top Companies

Team leadership, strategy design

Advanced AI, architecture

$165,000–$210,000

Xero, SEEK, ANZ, Accenture, Macquarie

What Is a Principal or Lead Data Scientist in Australia?

Principal data scientist jobs in Australia offer executive technical leadership.

Responsibility

Skills Required

Salary (AUD/year)

Top Companies

Enterprise AI strategy, innovation

8–10+ years expertise

$150,000–$350,000

AEMO, THE ICONIC, Equifax

Important Note: The fastest pathway to employment in Australia for Indian professionals is often via junior or mid-level roles. Even with 4–6 years of Indian experience, employers may onboard candidates at "early career" brackets, so salary negotiation based on market data is essential.

 

What Is the Data Scientist Salary in Australia in 2026?

Data scientist jobs salary in Australia averages AUD $115,000–$135,000 annually in 2026, with entry-level at $70,000–$90,000 and seniors reaching $165,000–$210,000 via SEEK data. This reflects high demand for data scientist jobs in Australia across tech hubs.

What Is the Average Data Scientist Salary in Australia by City?

Data scientist jobs salary in Australia vary by location, with Sydney and Canberra leading due to the cost of living and sector demand.

City

Salary Range (AUD/year)

Notes

Sydney

$138,500–$174,100

Top earners, Western suburbs are high 

Melbourne

$120,000–$136,000

Strong tech scene

Canberra

$130,000+

Government/defence premiums

Brisbane

$110,000–$130,000

Growing steadily

Perth

$110,000–$130,000

Energy sector influence

What Is the Data Scientist Salary in Australia by Industry?

Top-paying industries boost data scientist jobs salary in Australia, led by finance and tech.

Industry

Salary Range (AUD/year)

Key Employers

Finance/Fintech

$140,000–$200,000

ANZ, Macquarie, Equifax

Healthcare

$120,000–$160,000

Rapid growth

Government

$130,000–$170,000

Security clearance bonus

Retail/E-commerce

$115,000–$150,000

THE ICONIC, Coles

Tech/SaaS

$130,000–$190,000+

Xero, Atlassian (equity)

How Does Data Scientist Salary in Australia Compare to Data Analyst?

Data scientist jobs salary in Australia exceeds data analyst pay by 20–40% across comparable roles, reflecting advanced ML and modelling demands. Transitioning typically takes 3–5 years via ML upskilling, boosting the data scientist jobs salary significantly.

Role

Average Salary (AUD/year)

Experience Level

Key Difference

Data Analyst

$90,000–$120,000

Entry to Mid

SQL, visualisation, reporting

Data Scientist

$115,000–$135,000

Entry to Mid

ML models, Python/R, deployment

Data Scientist

$165,000+ (Senior)

Senior

AI strategy, team leadership

Expert Tip: Salary negotiation in Australia requires city-specific market intelligence; a data scientist in Canberra can command 10–15% more than the same role in Melbourne, primarily due to government sector concentration and cleared roles premiums.

What Skills Are Required for Data Scientist Jobs in Australia in 2026?

wooden-tiles-on-wooden-case-What Skills Are Required for Data Scientist Jobs in Australia/TerraTern

Data scientist jobs in Australia demand a mix of technical expertise and soft skills, with Python, SQL, and ML frameworks topping 85% of SEEK/LinkedIn listings.

What Technical Skills Do Data Scientists Need in Australia?

Technical skills are

  • Programming: Python (primary), R, SQL for data manipulation and analysis.

  • ML Frameworks: scikit-learn, TensorFlow, PyTorch, Keras for model development.

  • Cloud Platforms: AWS, Azure, GCP for scalable deployments.

  • Data Engineering: Spark, Databricks, Airflow, ETL pipelines.

  • Visualisation: Tableau, Power BI, Matplotlib/Seaborn.

  • MLOps: Docker, CI/CD, model monitoring; 2026 trends include LLM fine-tuning and RAG

What Soft Skills Help Data Scientists Succeed in Australia?

Soft skills are:

  • Communication: Translate insights for business stakeholders.

  • Collaboration: Work with engineering, product, and cross-functional teams.

  • Project Management: Agile methodologies and timelines.

  • Presentation: Deliver findings to non-technical audiences.

  • Cultural Fit: Directness and teamwork are valued in Australian workplaces.

What Qualifications Do Employers Prefer for Data Scientist Roles?

Qualifications preferred are

  • Degrees: Bachelor's in CS, Statistics, Math, Engineering, or Data Science.

  • Advanced: Master's/PhD for senior/research roles.

  • Certifications: AWS ML, Google Data Engineer, Databricks, Azure AI Engineer.

 Expert Advice: In 2026, knowing Python and SQL alone is not enough; employers increasingly list cloud deployment (AWS/Azure) and MLOps as non-negotiable for even mid-level roles; upskilling in these areas before applying significantly improves interview conversion rates.

Also Read: Data Scientist Salary in Australia: Latest Insights

Which Cities Offer the Best Data Scientist Jobs in Australia?

Sydney and Melbourne lead data scientist jobs in Australia, capturing over 60% of openings, while Canberra, Brisbane, and Perth provide specialised opportunities with regional visa advantages.

Why Is Sydney a Top City for Data Scientist Jobs?

Sydney is an ideal city for data scientists are:

  • Job Volume: 88+ Glassdoor roles; top SEEK city for data scientist jobs in Australia.

  • Key Employers: Macquarie Bank, Atlassian, Commonwealth Bank, THE ICONIC, ANZ, and SEEK.

  • Salary Edge: $138,500–$140,000 average; up to $174,100 for top earners (Glassdoor 2026).

  • Trade-Off: Higher cost of living balanced by premium pay.

What Makes Melbourne Attractive for Data Scientists?

Melbourne is attractive for sata scientists because:

  • Diverse Ecosystem: Fintech, retail, health, government analytics hubs.

  • Major Companies: Equifax, Airwallex, DoorDash, EY, Coles, Endeavour Group.

  • AI Growth: Thriving startups like Binance, and competitive salaries.

  • Lifestyle: Lower costs than Sydney with a strong tech scene.

Are There Data Scientist Opportunities in Brisbane, Perth, and Canberra?

Opportunities in Brisbane, Perth, and Canberra are:

  • Brisbane: 300+ Indeed listings (QUT, Suncorp, energy/tech startups).

  • Perth: 16+ data scientist roles (mining/energy like Fortescue, AEMO).

  • Canberra: 6+ specialised jobs (government/defence: ASIC, ATO; security premiums).

  • Regional Perk: 491 visa adds 5 PR points for data scientist jobs in Australia outside major cities.

Important Tip: For Indian professionals seeking PR fastest, consider Canberra or regional cities over Sydney, lower competition, strong government demand, and regional visa incentives (491) can shave 6–12 months off your PR timeline.

What Are the Visa Options for Data Scientists Who Want to Work in Australia in 2026?

Data scientist jobs in Australia are accessible through skilled migration visas such as Subclass 189, 190, 491, 482 TSS, and 186 ENS, which are tailored for Indian professionals with points-based eligibility.

How Does the Subclass 189 Visa Work for Data Scientists?

Subclass 189 visa for data scientists is:

  • Points-Tested: Independent; no sponsor needed, requires 65+ SkillSelect points.

  • Skills Assessment: Positive VETASSESS outcome (ANZSCO 224115).

  • English: IELTS 6.0 minimum; 7.0+ competitive.

  • PR Direct: Permanent residency; data science on MLTSSL list.

  • Timeline: Median 13 months; 75% in 8 months.

What Is the Subclass 190 Visa for Data Scientists?

Subclass 190 visa for data scientists is:

  • State Nomination: Adds 5 points; states prioritise data/ICT shortages.

  • PR Pathway: Government-sponsored, no employer required.

  • Target States: High-demand regions boost moderate-point applications.

What Is the Subclass 491 Visa for Regional Data Scientists?

Subclass 491 visa for regional data scientists is:

  • Provisional: 5 years; PR via 191 after 3 years of regional work.

  • Points Boost: 15 extra for regional commitment.

  • Tech Hubs: Canberra, Adelaide, Gold Coast, and Darwin offer data scientist jobs in Australia.

How Does Employer Sponsorship Work for Data Scientist Visas (482 & 186)?

Employer sponsorship 482 & 186 visas:

  • 482 TSS Core Skills: 4 years; needs 2+ years experience, SBS-approved employer.

  • 186 ENS Direct Entry: PR nomination from abroad.

  • 186 TRT Stream: Post-482 work (2+ years) leads to PR.

  • Listings: 70+ sponsorship roles on SEEK/Indeed (Glassdoor 2026).

What Is the VETASSESS Skills Assessment for Data Scientists?

VETASSESS skills assessment is:

  • ANZSCO 224115: Mathematical Science Professionals (Data Scientist).

  • Authority: VETASSESS primary; ACS for ICT-heavy roles.

  • Requirements: Qualification + experience evidence; consult a migration agent.

As per our Expert: For Indian data scientists with a strong academic background (Master's/PhD) and 3+ years of experience, the 189 visa is often the most powerful long-term pathway, but securing 80–90 points through age, English test scores, and state nomination gives you the best chance of a fast invitation round.

How Can Indian Professionals Land Data Scientist Jobs in Australia in 2026?

white-and-black-paper-on-typewriter-How Can Indian Professionals Land Data Scientist Jobs in Australia/TerraTern

Indian professionals can target data scientist jobs in Australia by securing skills assessments, tailoring resumes, and leveraging portals like SEEK/LinkedIn for sponsorship roles.

How Should Indian Data Scientists Prepare Their Resumes for Australia?

Resume preparation for Australia is

  • Length/Format: 2–3 pages max; no photo; add GitHub/portfolio links.

  • Quantify Achievements: E.g., "Reduced inference time by 40%" over vague descriptions.

  • ANZSCO Alignment: Use migration-friendly language matching skills assessment.

  • English Proof: List IELTS/PTE scores prominently.

Which Job Portals Are Best for Data Scientist Jobs in Australia?

The top job portals are

  • SEEK: 1,630+ data scientist jobs in Australia listings; top choice.

  • LinkedIn: 3,000+ roles; ideal for networking.

  • Glassdoor: 185+ verified; salary insights.

  • Indeed AU: Sponsorship filters.

  • Adzuna/Jora: 983+/100+ listings; contracts/sponsorships.

  • Company Sites: Macquarie, CBA, and Atlassian directly.

How Important Is Networking for Getting Data Scientist Jobs in Australia?

Importance of networking

  • LinkedIn: Connect with Aussie data pros for referrals (30–40% roles unadvertised).

  • Meetups: DataScienceAU, PyData, ML groups (virtual/in-person).

  • Alumni Networks: RMIT, Monash, and ANU pre-arrival.

What Are the Top Companies Hiring Data Scientists in Australia?

The top hiring companies are

  • Finance: Macquarie, ANZ, CBA, Equifax, NAB.

  • Tech/SaaS: Atlassian, Xero, SEEK, Binance, Airwallex.

  • Consulting: Accenture, EY, Infosys, TCS, PwC.

  • Retail: Woolworths, Coles, THE ICONIC, DoorDash.

  • Government: ASIC, ATO, Meteorology Bureau, AEMO.

  • Healthcare: Digital startups, universities.

Pro Tip: The biggest mistake Indian professionals make when applying in Australia is submitting an Indian-style CV with a photo and 4+ pages. A clean, achievement-focused 2–3 page resume tailored to the job description dramatically increases recruiter callback rates.

Also Read: How to Find a Job in Australia from India: New Guide?

What Are the Visa Sponsorship Opportunities for Data Scientist Jobs in Australia?

Over 70 verified visa sponsorship data science roles appear on Glassdoor in March 2026, alongside 100+ on Jora and filters on SEEK/Indeed for data scientist jobs sponsorship.

  • Job Volume: 70+ Glassdoor listings; 3586+ visa sponsorship data science jobs on Indeed; Jora's 100+ dedicated sponsorship filter.

  • SEEK Strategy: Apply the "Visa Sponsorship Available" filter for data scientist jobs 

  • Key Sponsors: Pyramid Global Technologies, International Institute of Data & Analytics, NTT, Macquarie Group, Infosys, Accenture.

  • Visa Type: Primarily 482 TSS Visa; requires an approved sponsor and 2+ years of experience.

  • Top Industries: Consulting, fintech (Airwallex), healthcare analytics, government contractors.

  • Application Tip: Frame sponsorship as "long-term commitment interest" to show employer loyalty.

Key Note: Don't limit your sponsorship search to big companies; mid-size consulting and analytics firms (100–500 employees) actively sponsor data scientists and often have faster hiring processes than large corporations.

What Are the Career Growth Opportunities for Data Scientists in Australia in 2026?

Data scientists in Australia advance rapidly from junior to executive roles within 3–5 years, with clear PR pathways enhancing long-term stability for Indian professionals targeting a data scientist role in Australia.

What Is the Typical Career Progression Path for a Data Scientist in Australia?

Typical career progression paths are 

  • Entry: Junior Data Scientist → Data Scientist (2–3 years experience).

  • Mid: Senior Data Scientist (4–6 years).

  • Leadership: Lead/Principal (7–10 years) → Data Science Manager/Head of Data/CDO.

  • Academic Track: Research roles → PhD → postdoctoral positions at universities/government.

How Does a Data Science Career Lead to Australian Permanent Residency?

Path to permanent residency:

  • 482 TSS Route: 2 years work → 186 TRT PR eligibility.

  • Points Build: SkillSelect accumulation while employed for 189/190 EOI.

  • State Support: 190 nominations for data/ICT shortages.

  • MLTSSL Advantage: Multiple PR subclasses available for data scientists.

What Is the Future Outlook for Data Scientists in Australia Through 2030?

Future outlook through 2030:

  • Demand Status: National Skills Commission "emerging occupation" with sustained growth.

  • AI Expansion: ML integration across sectors boosts roles.

  • Government Push: Digital transformation in health/defence sustains hiring.

  • Flexibility: Remote options expand beyond metros.

  • Salary Trend: 10% rise over the past 2 years; continued upward trajectory.

As per TerraTern Expert, Divash, landing a 482 visa with an approved sponsor is not just a job offer; it is the first step on a structured PR roadmap. Negotiating a role that leads to a direct 186 ENS pathway from day one is the most efficient route to Australian permanent residency.

 

Conclusion

Data scientist jobs in Australia represent a golden opportunity in 2026, offering competitive salaries starting at $ 115,000 AUD, rapid career progression, and clear PR pathways via the 189, 190, and 482 visas. Indian professionals can thrive by mastering Python/SQL/ML skills, targeting Sydney/Melbourne hubs, and leveraging SEEK/LinkedIn sponsorship listings. With booming demand for AI across finance, tech, and government, now's the time to secure skills assessments and launch your Down Under career successfully.

Contact TerraTern for more information on Data Scientist Jobs in Australia: Salary, Visa & Career Guide 2026.

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Frequently Asked Questions

Is data science in demand in Australia in 2026?

Yes, data science is in exceptionally high demand across Australia in 2026. Currently, there are over 1,600 active job listings on SEEK and more than 3,000 opportunities on LinkedIn. This demand is experiencing rapid annual growth of approximately 30%. This surge is primarily driven by widespread adoption of artificial intelligence, booming fintech sectors, advanced healthcare analytics, and massive government digital transformation initiatives. Companies are actively seeking skilled professionals to help them leverage data for strategic, competitive advantages.

What is the average salary for a data scientist in Australia?

The average salary for a data scientist in Australia generally ranges between AUD $115,000 and $135,000 per year, according to 2026 market data from SEEK. Location plays a significant role in earning potential. For instance, Sydney offers slightly higher average compensation, typically falling between AUD $138,500 and $140,000. For highly experienced professionals, senior data scientist roles can command highly lucrative salaries ranging from AUD $165,000 to well over $210,000 annually, alongside comprehensive corporate benefits and performance bonuses.

What is the starting salary for a junior data scientist in Australia?

Junior data scientists starting their careers in Australia can typically expect to earn between AUD $73,000 and $96,000 per year, based on early 2026 Glassdoor insights. Interestingly, regional variations exist. In highly competitive markets like Sydney, the standard entry-level range is often cited between AUD $66,250 and $86,250. However, top-performing junior candidates with strong portfolios or specialised technical skills can successfully negotiate starting packages reaching well over AUD $101,000 in major metropolitan areas.

What visa can a data scientist use to work in Australia?

Data scientists have several viable visa pathways to work in Australia. Highly skilled professionals can apply for the Skilled Independent Visa (Subclass 189), the Skilled Nominated Visa (Subclass 190), or the Skilled Work Regional Provisional Visa (Subclass 491) without an employer's sponsorship. If you have secured a job offer, you can utilise the Temporary Skill Shortage Visa (Subclass 482) or the Employer Nomination Scheme (Subclass 186). The best option depends entirely on your points profile and employer sponsorship status.

What ANZSCO code applies to data scientists in Australia?

Most data scientists officially fall under the ANZSCO code 224115, designated for Mathematical Science Professionals. For this specific classification, VETASSESS serves as the official skills assessing authority. However, the field is highly multidisciplinary. Data scientists whose daily responsibilities are heavily dominant in Information and Communication Technology (ICT) software engineering might be assessed by the Australian Computer Society (ACS) instead. Because this classification can be complex, you should always confirm your exact pathway with a registered migration agent before applying.

Do data scientists need an employer to sponsor them to migrate to Australia?

No, you do not necessarily need an employer to sponsor your migration to Australia. Employer sponsorship is strictly required only for specific pathways, such as the 482 TSS and the 186 TRT stream visas. Australia offers excellent independent migration pathways, including the 189, 190, and 491 subclass visas, which do not require any company sponsorship. To qualify for these independent routes, you must pass a competitive points test with a minimum score of 65 and hold a positive skills assessment.

Which cities have the most data scientist jobs in Australia?

Sydney and Melbourne are the undisputed hubs for tech, together accounting for over sixty per cent of all data scientist roles in Australia. However, excellent opportunities exist beyond these two capitals. Canberra is a massive market for lucrative government and defence analytics positions. Brisbane boasts a rapidly growing start-up and technology ecosystem with increasing demand. Meanwhile, Perth offers highly specialised and extremely well-compensated data science roles focused on optimising operations within the booming mining, resources, and renewable energy sectors.

What skills are most in demand for data scientists in Australia in 2026?

In 2026, the foundational skills most requested by Australian employers remain Python, advanced SQL, and practical machine learning with frameworks such as TensorFlow and PyTorch. Expertise in cloud platforms like AWS, Azure, or GCP, alongside MLOps, is considered standard. Furthermore, the market has heavily shifted toward generative AI. Employers now actively seek candidates demonstrating proven experience with Large Language Model (LLM) fine-tuning, developing complex Retrieval-Augmented Generation (RAG) pipelines, and implementing robust ethical frameworks for responsible AI deployment in production environments.

Can Indian professionals get data scientist jobs in Australia with visa sponsorship?

Yes, Indian professionals can absolutely secure data scientist roles with full visa sponsorship. Currently, there are over 70 verified sponsored roles on Glassdoor and well over 100 on Jora, with many more discoverable on SEEK using dedicated sponsorship filters. Major multinational corporations and consultancies—including Pyramid Global Technologies, NTT, Macquarie Group, Accenture, and Infosys—actively and regularly sponsor highly skilled international data scientists, typically utilising the 482 Temporary Skill Shortage visa to bring top global talent into the Australian market.

How long does it take to get a PR as a data scientist in Australia?

The timeline to secure Permanent Residency (PR) varies significantly by visa pathway. If applying independently via the 189 visa, expect approximately eight to thirteen months from invitation to final grant. Through the employer-sponsored route, you must work a minimum of two years on the 482 visa before transitioning to PR via the 186 TRT stream. Alternatively, State nomination through the 190 visa is often much faster, especially if data science is listed on a specific state's priority shortage list.

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