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Is Data Science and Artificial Intelligence in Demand in Australia?

Australia’s economic freedom score is 77.7, which places it 12th in the 2022 Index. Australia is placed 4th in the Asia–Pacific area out of 39 countries, and its overall score is higher than the regional and global norms. In financial and insurance services, technologies, and high-value-added manufactured items, Australia is competitive globally.

The service industry is the nerve of the Australian economy, accounting for 62.7 percent of GDP in 2017 and employing 78.8 percent of the workforce. Australia has the tenth biggest overall estimated value of natural resources, with a total anticipated value of US$19.9 trillion in 2019.

Australia’s economy will grow to become the world’s 13th largest in 2022, according to the International Monetary Fund. Australia’s nominal GDP is estimated to be about A$2.1 trillion (US$1.7 trillion). Despite having only 0.3 percent of the world’s population, Australia contributes 1.6 percent of the global GDP.

In Australia, the technology sector is one of the most important sources of high-quality jobs for a wide range of skill sets. Jobs in technology are essential for the expansion of tech companies and industries that rely on technology, such as banking, agriculture, mining, retail, and manufacturing. Meanwhile, as non-tech support vocations such as sales and marketing, administration, human resources, and legal are hired, tech organisations provide broader employment prospects.

In recent years, a number of important advancements in information technology have benefited Australia’s technology industry tremendously. Advances in information science, open-source information architecture adoption, cloud service adoption, and virtualization integration are just a few examples. The Australian government also supports the business through a variety of programmes and initiatives.

Due to the increased demand for computer-related activities, the industry of information technology jobs in Australia is rising by leaps and bounds. This industry is made up of a variety of companies and is a steady source of employment vacancies and growth in Australia. A number of global firms with headquarters in Australia have set up shop in the IT sector, contributing to the sector’s explosive expansion. Many global firms have significant operations in Australia, and the IT industry employs a large number of permanent and contract workers.

Are you up for a career in data science? It’s simple to understand why. Data science is not simply a cutting-edge field that allows you to have a significant effect both within your company and globally.

For the unfamiliar, Data Science is the act of sifting through enormous pieces of data, interpreting, and evaluating them for useful knowledge to help businesses get ideas on problems, customer experience, supply chain, and other key parts of their business operations.

What are the popular Data Science career paths?

You’ll discover that a career in data science in Australia can lead you down a variety of paths. Data scientist, data analyst, data engineer, machine learning engineer, research scientist, business intelligence developer, data architect, statistician, and big data engineer are some of the most common data science job roles.

What is the data scientist’s salary in Australia?

It’s no surprise, then, that this subject of study is swiftly becoming one of the most in-demand in the market, with large organisations and small enterprises all over the world looking for their own data scientists. Best yet, it’s a remunerative job with plenty of room for advancement.

The data from payscale.com states the average annual data scientist salary in Australia is AU$92199. Indeed.com discloses the average salary for a data scientist in Australia to be $112131 per annum. Salaryexplorer.com reports that the average yearly salary for a data scientist in Australia is AU$1,15,000. Salaryexpert.com framed the annual salary for a data scientist in Australia to be AU$153,498. The average income for a data scientist with 1-3 years of experience is AU$108,080. A senior-level data scientist (8+ years of experience) on the other hand, makes an average of AU$190,821.

Data Science in Canberra can earn a person an average salary of AU$100,000 annually as per Glassdoor.com and Payscale.com. As disclosed by salaryexpert.com, the average yearly salary for a data scientist in Canberra is $147,295. The average income for a data scientist with 1-3 years of experience is $103,712. A senior-level data scientist (8+ years of experience) on the other hand, makes an average of $183,110. The other top cities are Melbourne & Sydney in Australia.

Do you wish to seek a career in data science?

DataMites is the foremost Data Science Training Institute in Australia. We offer specialised data science courses for people of all levels, from complete novices to working professionals and managers. Data Science for Managers Course can be taken by managers at all levels of an organisation to strengthen their managerial abilities and integrate data science into their operations.

Read the article to know What are the Fees of Data Science Certification Courses in 2022?

Data science is a broad term that encompasses a wide range of technological topics, including machine learning, artificial intelligence, and big data. As a result, you have a variety of educational options and specialisations to pick from in order to succeed in this field.

Watch the video to know What is Data Science?

How to define AI?

Artificial intelligence (AI), often known as machine intelligence, is an area of computer science that focuses on developing and managing technology that can learn to make choices and carry out actions independently on behalf of humans.

What are the popular career paths in Artificial Intelligence?

Artificial intelligence has a wide range of applications in the commercial world. In reality, most of us engage with AI on a regular basis in some form or another. Artificial intelligence is hitherto altering every business activity in every industry, from the common place to the spectacular. As AI in Australia become more widely used, they are becoming increasingly important for businesses to maintain a competitive advantage.

The good news is that the AI professional area offers a wide range of job options, allowing you to take on various tasks and responsibilities based on the position, your expertise, and your interests. The most in-demand AI job roles include big data engineer, AI engineer, business intelligence developer, ML engineer, data scientist, research scientist, and robotics scientist.

How much is the AI salary in Australia?

The AI in Canberra, the capital city of Australia has a wide range of job opportunities, both in terms of required skill sets and duties. As a result of a higher degree of compartmentalization and specialised tasks, the AI market produces specialisations in the essential functions.

As per payscale.com, a person with skills in AI receives an average salary of AU $109,000 per annum. Talent.com reported that an average salary for a data scientist in Australia is AU$101,764 per annum. Indeed states that a machine learning engineer receives an average annual salary of $112,684 a year in Australia and $247411 in Canberra.

An AI Engineer’s salary in Australia is 565,389 ZAR yearly. The average salary for an entry-level artificial intelligence engineer (1-3 years of experience) is ZAR 399,711. A senior-level artificial intelligence engineer (8+ years of experience), on the other hand, receives an average income of ZAR 708,342. A Machine Learning Engineer’s salary in Cape Town per month is ZAR 53,354. (Glassdoor.com). The average annual AI Engineer’s salary in Pretoria is 750,517 ZAR. (Economic Research Institute)

Check out the article – Artificial Intelligence Certification Course Fee in 2022

Interested to pursue a career in AI?

In recent years, the field of Artificial Intelligence (AI) has witnessed something of a gold rush. Attaining Artificial Intelligence Certification Training from DataMites is undoubtedly the best move you can make. DataMites is a global institute for data science and artificial intelligence training. A complete grip over AI is possible only after getting trained by experts with decades of experience in the industry. DataMites AI Engineer Certification Training is specially designed for professionals development in the field of data science and artificial intelligence.

Refer the article to know How to Become an AI Engineer in 2022?


The demand for AI and Data Science professionals will skyrocket. As a result, Data Sciences and Artificial Intelligence (AI) will soon be the next great technology competence in demand by businesses across industries.

Check the below video – Artificial Intelligence Course Introduction.

About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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