Data Scientist salary in Australia: Complete guide for 2025
Darshan Shah
25 Sep 2024
As of 2025, data scientists remain important for every company in different sectors for correct data-driven decision-making. The role of a data scientist is growing as the companies have started relying on data driven decisions for their company. The need for a data scientist is increasing in almost all industries like finance, retail, healthcare and technology. The opportunity for growth in the profession of data scientist is constant. Whether you are a fresher, just entering the market exploring or a professional data scientist looking for competitive roles, Australia is an ideal location. Big organisations are hiring the best data scientists, making the profession more in demand with high competitive salaries. This guide will help you explore the data scientist salary in Australia. It will navigate you through the roles of data scientists, the scope of data scientists in Australia, factors influencing the salary of data scientists in Australia and data scientist salary in Australia.
Role of data scientist
Data scientists play a very crucial role across different industries. Check out the role of a data scientist in detail-
The primary role is to gather structured and unstructured data from different sources.
To check that the data is accurate and not incomplete.
Use statistical methods to read and analyse data for further use.
Develop machine learning systems to automate and make decision-making easy.
Create graphs and presentations to visualise the data for stakeholders to understand well.
Collaborate with different departments of the organisation and help correct strategy and decision-making.
Understand the drawbacks and problems and find data-driven solutions.
Continuously learn about new tools and technologies to upgrade the system of the company and find ways for quick and correct decision-making.
Scope of data scientist in Australia
The scope of data scientists in Australia is very broad with high competitive salaries. Industries rely on data given decisions for expansion. A few key aspects include-
High demand
As the demand for big data is increasing across different sectors like finance, technology, healthcare and retail. The scope for data scientists in Australia is also high.
Diverse opportunities
There are a lot of opportunities for a data scientist in Australia. They can work in various fields, such as machine learning, research, science, and business analysis.
Career Advancement
As the demand for AI and big data is increasing, this leads to great opportunities for career growth in the field of data science. This leads to higher opportunities and higher pay
Technological advancement
Technology keeps on advancing and updating on a regular basis. Data scientists who are aware of these changes in advancements can position themselves better in the industry.
Flexible work arrangements
Many big multinational companies provide hybrid and work-from-home opportunities for data scientists. Through this model of working, they can grab better work opportunities globally.
Competitive salary
The demand and need for data scientists lead to higher salary packages and more earning potential for a data scientist in Australia and globally.
Impact on business
Data scientists play a very important role in bringing innovation and changes in the working of an organisation. This leads to the growth of the company and helps in simplified decision-making
Factors influencing the salary of data Scientists in Australia
Here are a few factors influencing the salary of a data scientist in Australia-
Experience level
With the increase in experience, the salary for a data scientist profession also increases. Specially for professionals with more than five years of experience get a higher pay.
Location
Cities like Sydney and Melbourne with higher demand and a higher cost of living, pay higher salaries to data scientist professionals.
Industry
In different sectors like finance, healthcare and technology where the demand is higher, the salary is also higher.
Education
Candidates with a master's degree, PhD or specialisation get a higher pay compared to candidates with only a bachelor's degree.
Demand
In cities, whether the demand is higher the salary for data scientist professionals is also higher compared to lower demand areas.
Job role
More specialised and demanding roles, such as Lead data scientist, machine learning engineer, AI research scientist, senior data scientist, and big data engineer get higher pay.
Company size
Big and multinational companies Pay higher salaries to data scientist professionals, compared to small and start-up companies.
Average salary of a Data Scientist in Australia
The salary of a data scientist completely depends on different factors such as specialisation, size of the company, industry, education, location and demand.
The average salary ranges between AUD 110,000 to AUD 130,000 per year.
Salary of a Data Scientist on the basis of experience
The salary of a data scientist in Australia varies on the basis of the experience they gain. As they gain more experience, their skill set also increases leading to higher pay. Check out the salary of the data scientist on the basis of experience below-
Sr. No.
level of experience
average salary
1
entry-level (0-2 years)
AUD 70,000 to AUD 95,000
2
mid-level (3-5 years)
AUD 95,000 to AUD 120,000
3
senior level (6+ years)
AUD 120,000 to AUD 160,000
The salary of a Data Scientist on the basis of location
The salary of a data scientist on the basis of location is dependable on different factors, such as cost of living, demand for professionals and the presence of industries. Big cities and urban areas pay more compared to small rural cities. Check out the breakdown below.
Sr. No.
location
average salary
1
Sydney
AUD 110,000 to AUD 150,000
2
Melbourne
AUD 100,000 to AUD 140,000
3
Brisbane
AUD 90,000 to AUD 130,000
4
Perth
AUD 85,000 to AUD 125,000
5
Adelaide
AUD 65,000 to AUD 95,000
6
Canberra
AUD 85,000 to AUD 120,000
7
Hobart
AUD 90,000 to AUD 130,000
8
Darwin
AUD 75,000 to AUD 100,000
The salary of a Data Scientist on the basis of specialisation
The salary of a data scientist significantly depends on the specialisation. With more complex specialisation, professionals require a more complex skill set, leading to higher pay. Below is a general breakdown on the basis of specialisation-
Sr. No.
specialisation
average salary
1
Machine learning engineering
AUD 120,000 to AUD 160,000
2
Deep learning specialists
AUD 130,000 to AUD 180,000
3
Natural language processing
AUD 120,000 to AUD 170,000
4
Big data analysts
AUD 100,000 to AUD 140,000
5
Business intelligence analyst
AUD 80,000 to AUD 110,000
The salary of a Data Scientist on the basis of education
The salary of a data scientist depends on the basis of their education. With higher education, the chance of getting a better job increases leading to higher earning potential. Level of education plays a very critical role, check out the breakdown below.
Sr. No.
Education level
Average Salary
1
Bachelor’s degree
AUD 75,000 to AUD 100,000
2
Masters degree
AUD 90,000 to AUD 130,000
3
PhD
AUD 120,000 to AUD 160,000
Salary of a Data Scientist on the basis of industry
The salary of a data scientist in Australia depends on the industry and the demand in the industry. Industries, such as finance, healthcare, banking and technology pay more as it require more complex work and the demand is also high. Check out the salary of data scientists on the basis of different industries below-
Sr. No.
Industry
Average Salary
1
Tech
AUD 130,000 to AUD 180,000
2
Finance
AUD 100,000 to AUD 150,000
3
Healthcare
AUD 90,000 to AUD 140,000
4
Retail
AUD 80,000 to AUD 120,000
5
government and public sector
AUD 70,000 to AUD 100,000
Salary of a Data Scientist on the basis of company size
Big multinational companies in industries like finance, technology, and healthcare require more complex work leading to higher pay for data scientists. The size of the company plays a very crucial role in deciding the salary potential. Check out the breakdown below-
Sr. No.
Size of the company
Average Salary
1
small companies (1-50 employees)
AUD 80,000 to AUD 120,000
2
medium companies (51-500 employees)
AUD 90,000 to AUD 140,000
3
multinational companies (500+ employees)
AUD 110,000 to AUD 160,000 +
How to increase the earning potential of a Data Scientist in Australia
Here are a few ways to increase the earning potential of a data scientist in Australia-
Gain advanced technical knowledge
To get higher pay, professionals must gain advanced technical knowledge such as Python, R, SQL, Hadoop and many more such programmes.
Get certification
Professionals must go for higher certifications in the field of data science to increase their earning potential. Certification like machine learning, data science, or cloud computing can lead to higher pay.
Specialisation in-demand areas
Professionals must focus more on high-demand areas such as AI, big data or deep learning, this will lead to an increase in their earning potential.
Build business acumen
It is very important for professionals to understand how to turn these business insights into business strategies. If professionals learn this skill, they can negotiate for higher salaries.
Go for leadership roles
Professionals, after gaining little experience must go for more leadership roles like management or lead data scientist. The salary is higher for leadership roles.
Stay updated on industry trends
Professionals should be aware of the latest industry, insights and trends. With more knowledge and networking, they can grab higher roles with higher salaries.
Conclusion
The field of Data Scientist is very diverse and provides a lot of opportunities to international students. Professionals can expect a higher and more competitive salary as of 2025. Data Scientist in Australia promises financial rewards, job security and career growth to professionals and freshers. The salary is dependent on different factors such as location, industry, experience and any specific specialisation. It is important to stay updated with industry trends, earning potential, and relevant certifications. Professionals can get opportunities to position themselves well in the industry. The demand for Data Scientists in Australia and globally will remain strong. For professionals who are willing to make their career in Data Scientists, Australia is definitely an ideal location with a plethora of opportunities.
What is the average salary for a Data Scientist professional in Australia?
The average salary for a Data Scientist professional in Australia is around AUD 110,000 to AUD 130,000 yearly. Depends on factors like specialisation, location, industry and experience level.
What salary must a fresher expect in Australia for the Data Scientist profession?
An entry-level Data Scientist profession in Australia must expect a salary of around AUD 80,000 to AUD 100,000 yearly.
Does the salary of a Data Scientist profession in Australia differ on the basis of different cities?
Definitely, yes! The salary for a Data Scientist profession in Australia is higher in cities like Sydney and Melbourne. This is mainly due to high demand and high cost of living.
Name a few of highest paying, Data Scientist roles in Australia.
Highest paying roles include- Lead data scientist,, machine learning engineer, AI research scientist, senior data scientist, and big data engineer.
Is demand for Data Scientists increasing in Australia?
Yes, the demand for Data Scientists in Australia is increasing as companies are relying more to safeguard their data and manage the complex data of the company.
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