Data Scientist Salary in Australia in 2024: Scope, Prospects & Top Employers
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Table of Contents
- Scope of Data Scientist in Australia?
- Average Salary Of Data Scientists in Australia
- Salary in Australia for Fresher Data Scientists
- Salary in Australia for Experienced Data Scientists
- Hourly wages for Data Scientists (per hour) in Australia
- Highest Paying Cities for Data Scientist in Australia
- Top 10 Companies that Hire Data Scientists in Australia
- Skills Required for a Data Scientist in Australia
- How to Become a Data Scientist in Australia?
- Streamline Australia Visa Application Process with GetGIS!
Wondering how much a data scientist earns in Australia? With the growing demand for data-driven insights, professionals in this field are securing competitive salaries across industries. Data scientist salary in Australia varies based on experience, location, and industry demand.
Let’s dive into the earning potential for data scientists in the country. From entry-level roles to senior positions, salaries can range significantly. Understanding these factors can help you plan your career in this dynamic field.
Scope of Data Scientist in Australia?
Australia offers a thriving job market for data scientists, making it an attractive destination for professionals in this field. With rising demand, competitive salaries, and strong government support, data science careers in Australia are more promising than ever. Let’s explore key reasons why pursuing this career path can be a great choice.
- Rapid Job Growth: The demand for data scientists in Australia has surged by 30% in the past year, creating more opportunities for skilled professionals. Companies across industries are actively seeking experts to harness data-driven insights.
- Rising Salary Trends: Over the last two years, data scientist salaries in Australia have grown by 10%, reflecting the increasing value of data expertise. Currently, professionals in this field earn an average of AUD 117,548 annually.
- Strong Government Support: The Australian government has introduced multiple initiatives to boost data science education and job creation. These efforts aim to equip professionals with essential skills and enhance employment prospects.
- Diverse Industry Applications: Data science is in high demand across various sectors, including finance, healthcare, and technology. This versatility allows professionals to explore different industries and specialize in their areas of interest.
- Promising Career Growth: With the continuous expansion of data-driven decision-making, data scientists have clear career advancement opportunities. Senior roles, leadership positions, and specialization options ensure long-term professional success.
Average Salary Of Data Scientists in Australia
Data science offers lucrative career opportunities in Australia, with salaries varying based on experience, job role, and industry. The table below highlights the average annual salaries for different data science roles in Australia.
Job Role |
Average Annual Salary (in AUD) |
Average Annual Salary (in INR) |
Data Scientist |
117,548 |
64,75,273 |
Senior Data Scientist |
143,593 |
79,09,994 |
Machine Learning Engineer |
141,899 |
78,16,678 |
Data Analyst |
92,442 |
50,92,279 |
Business Intelligence Analyst |
108,833 |
59,95,197 |
AI/ML Research Scientist |
145,000 |
79,87,500 |
Quantitative Analyst |
109,745 |
60,45,436 |
Statistician |
140,660 |
77,48,426 |
Also Read: Which Country is Best For MS in Data Science
Salary in Australia for Fresher Data Scientists
Fresher data scientists in Australia with under two years of experience can expect to earn between AUD 70,000 and AUD 90,000 annually. This salary range reflects the initial earnings potential for newcomers in the field. It provides a solid starting point for those beginning their careers in data science.
For aspiring data scientists in Australia, these figures indicate the baseline compensation they can anticipate. As they gain experience and develop specialized skills, their earning potential increases. This range serves as a benchmark for entry-level salaries in the industry.
Salary in Australia for Experienced Data Scientists
Experienced data scientists in Australia, particularly those with over five years in the industry, often earn salaries exceeding AUD 150,000. Their earnings typically range between AUD 120,001 and AUD 160,000 or even higher, depending on their expertise and specialization. With increased experience, professionals unlock greater earning potential and career opportunities.
Professionals who refine their expertise and stay updated with industry advancements see significant financial growth. This makes long-term career investment in data science highly rewarding.
Hourly wages for Data Scientists (per hour) in Australia
.Data scientists in Australia earn an average of AUD 59.97 per hour, showcasing the strong financial rewards associated with this profession. The competitive pay scale reflects the growing reliance on data-driven insights across multiple industries. As companies continue to invest in data analytics, professionals in this field enjoy lucrative opportunities.
With businesses prioritizing data expertise, the demand for skilled data scientists remains high. This per-hour wage highlights the value placed on analytical and technical skills in today’s job market. As a result, data science has become one of the most sought-after and well-compensated careers in Australia.
Also Read: “All You Need To Know About Job Sponsor Visa Australia”
Highest Paying Cities for Data Scientist in Australia
Salaries for data scientists in Australia vary by location, with major cities offering higher pay due to industry demand and cost of living. Professionals in tech hubs and financial centers tend to earn more than those in smaller regions. Here is a list of the highest-paying cities for data scientists in Australia.
City |
Average Salary (AUD) |
Average Salary (INR) |
Canberra, ACT |
279,096 |
1,53,74,340 |
Townsville, QLD |
132,886 |
73,20,186 |
Melbourne, VIC |
122,461 |
67,45,912 |
Joondalup, WA |
119,642 |
65,90,624 |
Sydney, NSW |
117,893 |
64,94,278 |
Sydney Western Suburbs, NSW |
114,423 |
63,03,129 |
Perth, WA |
109,579 |
60,36,291 |
Surry Hills, NSW |
109,416 |
60,27,312 |
Newcastle, NSW |
108,369 |
59,69,637 |
Also Read: Top 10 Colleges for Master of Data Science in Australia
Top 10 Companies that Hire Data Scientists in Australia
In the pursuit of providing exceptional career opportunities for data scientists, numerous renowned companies extend enticing job prospects accompanied by competitive compensation packages.
The top 10 companies hiring Data Scientists in Australia are:
- Microsoft
- Amazon
- EY
- Google (Alphabet)
- VMware
- Walmart
- JP Morgan Chase & CO
- PwC
- Splunk
- Numerator
Skills Required for a Data Scientist in Australia
As data science continues to grow in Australia, employers seek professionals with a strong mix of technical and analytical skills. Mastering the right tools and techniques can help you stand out in this competitive field. Let’s explore the key skills needed to thrive as a data scientist in Australia.
- Proficiency in Programming: Expertise in Python and R is essential for data scientists, as these languages are widely used for data analysis, machine learning, and automation. Strong coding skills enable efficient data manipulation and model building.
- Machine Learning and AI: Knowledge of machine learning algorithms and artificial intelligence techniques is crucial for predictive analytics. Companies rely on these skills to develop smart solutions and improve decision-making.
- Data Visualization and Communication: The ability to present complex data insights using tools like Tableau, Power BI, or Matplotlib is highly valued. Clear data storytelling helps businesses make informed decisions based on analytics.
- Big Data & Cloud Technologies: Familiarity with big data platforms like Hadoop and cloud services such as AWS, Azure, or Google Cloud is increasingly in demand. These technologies enable efficient storage, processing, and analysis of large datasets.
- Statistical and Analytical Thinking: A strong foundation in statistics and problem-solving skills is essential for extracting meaningful insights from data. Understanding probability, hypothesis testing, and data modeling enhances decision-making accuracy.
Check Out: How to Draft an Exceptional Data Science SOP?
How to Become a Data Scientist in Australia?
To gain eligibility to become a Data Scientist in Australia would typically require you to have both formal education and practical experience within the industry. So here is a suggested path:
Step 1: Obtain a bachelor's degree in a related field, such as computer science, IT, mathematics, or statistics, which typically entails three years of full-time study.
Step 2: Enhance your expertise by pursuing a postgraduate degree in data science, like a Graduate Diploma of Data Science or a Master of Data Science. Alternatively, consider enrolling in a bootcamp or immersive program tailored to data science.
Step 3: Seek out internship opportunities while studying to cultivate both technical and soft skills, establish a portfolio, and expand your professional connections.
Step 4: Begin your career in an entry-level position centered on data, such as a Data Analyst or Business Analyst role.
Streamline Australia Visa Application Process with GetGIS!
Data science is a highly rewarding career in Australia, with competitive salaries that vary based on experience, location, and industry demand. Top cities like Canberra, Melbourne, and Sydney offer some of the highest pay while leading companies continue to seek skilled professionals. With strong job growth and increasing salaries, data scientists in Australia can expect lucrative opportunities in the evolving tech landscape.
Say goodbye to the hassle and confusion of the Australia visa application process with GetGIS, your trusted partner in simplifying immigration procedures. Our experts offer a comprehensive range of services, including real-time application tracking, and expert guidance, ensuring that your visa application is seamless and hassle-free.
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Frequently Asked Questions
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