Data science jobs in Australia are attracting more attention than ever, thanks to the country’s growing tech sector and the need for skilled professionals who can turn data into smart business decisions. Whether you’ve been in the market for ages or are considering moving into a senior role, understanding the market, what people make, and what employers want are the best ways to get placed in your next role in this exciting field.
Why Data Science is Booming in Australia?
Data science is at the heart of Australia’s digital economy, which is growing fast. LinkedIn says that at any given time, there are over 5,000 data scientist jobs in Australia, and new roles are added daily. This demand stretches across industries, from finance and healthcare to e-commerce and government, making data science job opportunities in Australia both varied and plentiful.
Indeed also released a report a few weeks ago, and the data reveals that the role of data scientists continues to increase across Australia, especially within major cities such as Sydney and Melbourne. The need for talent in data analytics, machine learning, and artificial intelligence is in high demand due to businesses trying to rely on all the data available for all things, from predicting customer trends to improving healthcare outcomes.
“Data science has to be fundamental to companies who want to remain competitive,” A Sydney-based hiring manager says, “it’s a skill that is necessary to extract value from data.”
If you are wondering where this field takes you, I would continue reading to know about the job types, salaries,s and the skills you must possess to achieve your goal.
Types of Data Science Roles in Australia
If you are looking to find a data science jobs in Australia, then you will be pleased to hear that data science roles cover a massive number of specialties and experience levels. Check out these most typical announced positions:
Building models to solve business problems with the help of data as large as possible.
- Data Analyst: interprets data, prepares reports, and helps the teams to make decisions based on data.
- Machine Learning Engineer: Given that the researcher uses algorithms and predictive models, the job of developing and testing such a model often involves using AI to automate processes.
- The Data Engineer is responsible for creating and maintaining data collection, storing and analysing data infrastructure.
- Business Intelligence Analyst: Transforms data into actionable insights for business strategy.
- Research Scientist: Works on advanced projects in AI, often in academic or R&D settings.
Also, entry-level data science jobs in Australia are on the rise, with opportunities for graduate programs and internships at Atlassian, Qantas, and the Commonwealth Bank. There are an increasing number of remote data science jobs in Australia, particularly in analytics or machine learning, which can be worked remotely from anywhere other than a major city.
Data Science Jobs in Australia: Salary in 2025
When it comes to data science jobs in Australia, the salaries are impressive. The average data scientist salary in Australia is set at an average of $168,750 per year, as per Clicks IT Recruitment. Here’s a breakdown by experience:
| Level | Average Salary (AUD/year) |
| Entry Level | $146,250 |
| Mid Level | $168,750 |
| Senior Level | $202,500 |
These figures include superannuation and bonuses, which may differ depending on country, industry, and the level of responsibility. For instance, tech companies and financial institutions pay very high salaries in Sydney and Melbourne, as these are the places where more of these companies are located.
Base pay isn’t the only thing, either. Most companies entice the best talent by offering performance bonuses, remote work options, and perks within the company. For beginners, entry-level positions range from $80 to $100 K, and after a few years working in Australia with the right data science skills, it is possible to get to the top of the pay scale.
Top Industries Hiring Data Scientists in Australia in 2025
Across a number of specific sectors in the US, demand for data scientist jobs in Australia is strong.
- Data Science in Finance and Banking: Banks use data science to detect fraud, perform risk modeling, and perform customer analytics.
- Hospitals and research centers need data analytics jobs in Australia to enhance patient outcomes and eliminate operational processes.
- Companies use data to segment customers, increase retailer co‐laboration capability, hone marketing efforts, and predict demand, while augmenting the existing supply chain capabilities.
- Australia’s data science roles in government include public health, transport, and policy analysis.
- In Australia’s tech and Startups world, where AI is being used to create apps that can deliver breakfast, to cloud computing, these firms are always hiring machine learning jobs in Australia.
- This diversity implies there is room for data scientists from all kinds of backgrounds and areas of interest.
Data Science Skills Australia: What Does the Employer Want?
In order to stand out in the data science job market in Australia, you will need a combination of technical and soft skills. The things employers want to see are listed below.
- Programming: I have worked with Python (video 9), R (video 10), and SQL (video 11), which are the most popular programming languages.
- Machine Learning: Libraries like scikit learn, TensorFlow, or PyTorch are a must if you have had experience with Machine learning.
- Data Visualization: With proficiency in Tableau, Power BI, matplotlib, and other tools, it is possible to present visual representations of findings exactly as they are.
- Statistical Analysis: Statistical Analysis requires understanding probability, regression, and hypothesis testing.
- Communications: They must be able to explain the above results in layman’s terms to a nontechnical bunch of people.
- Problem Solving: Employers value candidates who can solve business challenges.
The fintech company posted a job ad not long ago, and one of the most important requirements on the list was the applicant being familiar with Python, SQL, and cloud data platforms. In short, the non-negotiable essential. Thus, if you are polishing your resume, these skills must be discussed.
How to Get Data Science Job Opportunities in Australia 2025
It can be intimidating, but when introduced in a clear way, the steps needed to break into the data science field.
- Create a strong Portfolio: Projects on GitHub or Kaggle can show how you have applied your technical skills.
- Network: Meet up with hiring managers through webinars, attend conferences or meetups as a means of connecting with other professionals.
- Get certified: You can complete the short courses or get certified and learn machine learning or cloud computing.
- Job Portals: Use LinkedIn, SEEK, and Indeed to apply widely for entry-level and senior data science jobs in Australia.
- Tailor Your Resume: Write your resume targeted for the job that you’re applying for. Include experience relevant to the task that is being sought, and utilize keywords from the job description.
Graduate programs and internships are also provided by many companies, offering you a chance to gain experience and open the door.
Remote Data Science Jobs Australia: Flexibility and Growth in 2025
Remote work is actually one of the biggest shifts that is happening in the data science job market in Australia. Hiring talent from across the country and not necessarily in the major cities has become more open to companies. Through remote job boards, data science jobs in Australia can encompass all the above and some other data science jobs.
Remote work is flexible and gives those outside tech hubs an opportunity. It also implies that you can work with international teams or on global projects and broaden your experience and network as well.
Entry Level Data Science Jobs Australia: Where to Start
For those who are fresh into the journey of a data science career, Australia holds lots of entry-level roles and graduate programs. Most companies are searching for candidates with mathematics, statistics, or computer science backgrounds, but they value equally workplace experience, such as internships, or personal projects.
Some tips for landing your first job:
- The first move should focus on fundamentals, which means you should be comfortable with Python, SQL, and basic statistics.
- Even small projects can help showcase your skills.
- Check for Graduate Schemes: Qantas, Atlassian, and Commonwealth Bank all have structured programs for new grads.
- Be willing to take contracts or part-time work, as these could lead to permanent work, and a lot of experience.
Data Science Career Australia: Progression and Future Trends
Growth is ample if you are taking up a data science career in Australia. Starting off as an analyst or junior data scientist, many professionals work their way up to leadership in a team, specialized in machine learning or AI research roles, or could become senior members of the team.
The future looks bright, too. Digital transformation means that the Australian government and private sector are investing heavily to support, which will only increase data analytics jobs in Australia and machine learning jobs in Australia. SEEK says there are almost 1,000 full-time data scientist roles listed at any one time and will grow strongly over the next decade.
‘There is a great hunger for data talent in Australia’s tech sector, and the chances to progress in your career are among the best in the region,’ a recruiter with a top IT firm says.
Also Read: How to Apply for Jobs in Australia from India: Experts’ Updated Guide
The Next Data Science Job Market in Australia Beyond 2025
The job market that allows average people in Australia to pursue data science is both competitive and full of opportunity. As more companies use data to make decisions, is there any indication that the need for skilled professionals will slow? Regardless of whether you’re fascinated by data analytics, machine learning, or AI, it can’t be affirmed that one doesn’t have a place with you.
Staying up to date, keeping your skills current, and maintaining your relationship with the industry will allow you to remain on top. It pleases many professionals, as they consider online courses, certifications, and networking events as a great set for continuous learning, making them ready for new challenges and opportunities.
Conclusion
Data science jobs in Australia offer a unique combination of high salaries, career growth, and the chance to work on interesting problems across industries. Regardless of your embrace of data analytics jobs Australia, machine learning jobs Australia, or other remote data science jobs Australia, now is always the best time to begin or expand your data science career Australia.
Jobs in the data science market in Australia also continue to grow, with more and more companies searching for talented professionals who can convert data to results. By building the right data science skills in Australia and staying up to date with industry trends, you’ll be well-placed to take advantage of Australia’s many data science job opportunities.
FAQs (Frequently Asked Questions)
Q1.What qualifications do I need for data science jobs in Australia?
In most of the roles, you will require a degree in mathematics, statistics, computer science, or any other related course. But certifications, practical experience, and a good portfolio with kudos from your clients will also set you apart.
Q2.What is the average salary of a data scientist in Australia?
The national average salary for a Project Coordinator is $168,750 per year in Australia.
Q3.Is a remote data science job in Australia common?
However, there are increasing remote roles, especially for analytics and machine learning roles.
Q4.Which industries hire the most data scientists?
In numbers, sectors like finance, healthcare, government, e-commerce, and tech are actually spending an insane amount to pay the salary of a data science professional in Australia.
