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Career Profile

Data scientist

Data scientists use advanced analytical, programming and problem-solving skills to turn complex data into meaningful insights. They are skilled in applying statistical modelling, machine learning and algorithms to identify patterns, solve complex problems and inform organisational decision-making.
IT and Digital
Average weekly salary
$2231
Future demand
Very strong
Most common education level
Postgraduate degree

What does a data scientist do?

Data scientists use advanced analytical methods to extract meaningful insights from large and complex datasets. They apply statistics, programming, machine learning, and data modelling to solve problems and guide organisational decision making. A data scientist might work on projects that predict customer behaviour, improve business processes, develop algorithms, or identify emerging trends. 

Data scientists are employed across many industries, including technology, finance, healthcare, education, government, consulting, and retail. As organisations continue to invest in data driven strategies, demand for professionals with advanced analytical skills remains very strong. 

Is a career as a data scientist right for me?

A career in data science may be a good fit if you enjoy solving complex problems, working with data, and exploring new technologies. Helpful skills and attributes include: 

Analytical thinking
An ability to analyse and interpret information.
Digital and technical capability
Proficiency in using technology, digital tools, and relevant software.
Industry knowledge
A sound awareness and understanding of industry and trends.

Problem-solving and decision-making
The ability to identify issues, evaluate options, and make informed decisions.

Teamwork
An ability to work effectively and collaborate with a range of stakeholders.

How to become a data scientist

Building a career in data science starts with developing strong skills in working with data, technology and complex problem-solving. Relevant study, combined with hands-on experience, can prepare you to analyse large datasets, apply advanced techniques and turn data into meaningful insights. 

Here's a typical path to becoming a data scientist:

  1. Complete a degree in data science, information technology, computer science, statistics, mathematics or a related field.
  2. Develop skills in programming, statistics, data modelling, machine learning and data visualisation.
  3. Gain hands-on experience applying data science techniques through university projects, internships or industry experience.
  4. Build your ability to analyse complex datasets, solve problems and communicate insights to different audiences.
  5. Continue developing your technical knowledge as data science tools, technologies and analytical methods evolve.

How long does it take to become a data scientist?

A bachelor's degree typically takes around three years of full-time study. Graduates may then build additional skills through postgraduate study, microcredentials, or practical experience in data focused roles. Progression into senior or specialist positions often comes with further experience.

Start your journey with UniSQ

Prepare for a data science career with a UniSQ information technology or data analytics degree and develop the technical, analytical and problem-solving skills needed to unlock the value of data.

Data Science degrees
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Responsibilities and work settings

Day-to-day responsibilities

Collecting, analysing and interpreting large and complex datasets to identify patterns and insights.

Applying statistical modelling, machine learning and algorithms to solve complex problems.

Developing data models and analytical solutions to support organisational decision-making.

Communicating findings and insights to stakeholders through reports, visualisations and presentations.

Where you might work

Data analytics and artificial intelligence organisations

Software development and technology companies

Banks and financial institutions

Government agencies, departments and councils

Cloud computing and IT infrastructure organisations

Telecommunications providers

Research institutes and research centres

Data scientist FAQ's

Data scientist qualifications usually include a bachelor's degree in data science, computer science, statistics, mathematics, or a related discipline. Many data scientists also gain experience with programming, machine learning frameworks, and data analysis tools to expand their capabilities. 

A data scientist course at university level covers areas such as statistical modelling, programming, machine learning, data mining, and data visualisation. These courses build the technical foundations needed to analyse and interpret complex datasets. UniSQ offers degrees designed to support students pursuing a career in data science.

Common requirements to be a data scientist include strong analytical skills, proficiency in programming languages such as Python or R, experience with data tools, and the ability to work with large datasets. Employers also value communication skills and an understanding of applied machine learning techniques.

Yes, data science is a rapidly growing and highly valued field. Data scientists are in demand across many industries, offering strong career prospects, opportunities for innovation, and the ability to contribute to meaningful organisational decisions.

A data analyst examines existing data to identify trends, answer business questions, and create reports or dashboards that support decision-making. A data scientist uses advanced statistics, programming, and machine learning to build predictive models and solve more complex problems.

In simple terms, data analysts focus on understanding what has happened, while data scientists focus on predicting what is likely to happen next.

Related careers

Data analyst
Computer programmer
Computer systems engineer
Cyber security analyst
Computer engineer

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Disclaimer: UniSQ’s Career Finder is a guide only. While reasonable care is taken to ensure accuracy, career information may change over time. Career statistics are sourced from Your Career and Jobs and Skills Australia. © Commonwealth of Australia. Licensed under CC BY 4.0. Salary figures listed on this page are in Australian Dollars (AUD).