Junior Data Scientist Salary in Sydney: What to Expect in 2026

A junior data scientist in Sydney can typically expect a base salary somewhere in the region of AUD 80,000 to AUD 110,000 a year, with the middle of that band most common for graduates and people with up to two years of experience. Treat this as an indicative range rather than a guarantee: employer type, your degree, your technical depth and the exact job title all shift the number. Below we break down what drives pay, what our own market data says about skills, and how to position yourself for the upper end.\n

The typical range, and how to read it

Sydney is Australia's largest market for data roles, with a heavy concentration in banking, insurance, consulting, government, telecoms and technology. That concentration usually means salaries sit above the national average, but it also means competition for junior roles is real.

A sensible way to think about the range:

• Lower band (roughly AUD 80,000 to 90,000): graduate programmes, smaller companies, not-for-profits and some public sector roles. These often come with structured training and a clearer path to promotion.
• Middle band (roughly AUD 90,000 to 100,000): the most common zone for junior data scientists with a relevant degree, internships or a solid portfolio.
• Upper band (AUD 100,000 and above): large financial institutions, well-funded tech firms and consultancies, or candidates who bring strong engineering skills, a postgraduate degree or domain expertise.

These figures are general market guidance, not HuntCampaign data, so always check the salary shown on live postings for the specific role you are targeting. Also note that Australian salaries are usually quoted excluding superannuation, which employers pay on top. Check whether an advertised figure is a base salary or a total package.

What moves the number up or down

Two juniors in the same city can receive very different offers. The biggest factors are:

Industry. Financial services and big consultancies tend to pay more than education, retail or public sector employers. The trade-off is often longer hours or a more demanding environment.

Job title and scope. "Junior Data Scientist" is used loosely. Some roles are mostly analytics and reporting, while others expect machine learning, experimentation and production code. The more engineering and modelling responsibility, the stronger the pay.

Education and evidence of skill. A Master's or PhD in statistics, computer science, mathematics or a quantitative field can lift an offer. So can a portfolio showing end-to-end projects, not just notebooks.

Visa and work rights. Employers sponsoring a visa sometimes have to meet minimum salary thresholds, which can affect both the roles available to you and the offer structure. Check current requirements on the Department of Home Affairs website before you negotiate.

Employment type. Permanent, fixed-term and contract roles are priced differently, and contract day rates are not directly comparable with annual salaries.

What our market data shows about skills

HuntCampaign tracks which Data & Analytics skills appear most often in Australian postings. For the week of 5 October 2026, the picture looked like this:

• Python: 3% of postings, with a median salary of USD 102,054
• SQL: 2% of postings
• Power BI: 1% of postings, with a median salary of USD 57,974
• Excel, Tableau and dbt: each rounded to 0% of postings

A few honest caveats. These percentages are small because they reflect the share of all tracked postings mentioning each skill, not just junior data science roles. The medians are in US dollars, cover Australia as a whole rather than Sydney alone, and include roles at every seniority level, so they are not a direct benchmark for a junior salary. We have left out the medians for SQL, Excel and dbt because the values were too low to represent annual pay and should not be relied on.

What the data does support is a clear pattern: Python is the most visible skill and is attached to the higher median, while Power BI is more associated with analyst-style roles and a lower median. If your goal is a data scientist title rather than a BI analyst title, leading with Python and SQL is the safer bet, with Power BI or Tableau as useful extras for communicating results.

How to aim for the upper end of the range

You have more influence over your offer than you might think. Some practical steps:

1. Show Python and SQL in context. Build two or three projects that start with messy data and end with a recommendation, a dashboard or a deployed model. Link them from your CV.
2. Translate skills into business outcomes. Instead of "built a classification model", say what it predicted and what decision it could improve.
3. Research the employer's band. Compare similar postings and ask recruiters early what the budget is. Australian recruiters are generally open about ranges.
4. Negotiate the whole package. If base salary is fixed, ask about a sign-on bonus, study support, a review at six months or flexible working.
5. Apply widely in the first weeks. Salaries vary so much between employers that having several conversations running gives you a better sense of what is realistic.

FAQ

Is AUD 100,000 a realistic starting salary for a junior data scientist in Sydney?

It is achievable but sits towards the upper end for a first role. Candidates with a postgraduate degree, strong coding skills or relevant internships at larger banks, consultancies or tech companies are most likely to reach it.

Do salaries in Sydney differ from other Australian cities?

Sydney is generally among the highest-paying markets for data roles, alongside Melbourne, though the gap varies by industry. Cost of living, especially rent, is also higher, so compare offers on what you keep, not just the headline figure.

Which skills should I prioritise to earn more?

Python and SQL are the most consistent foundations in our Australian data, with Python linked to the higher median salary. Add a visualisation tool such as Power BI or Tableau, and build familiarity with cloud tools and version control to stand out.

Does the advertised salary include superannuation?

Not always. In Australia, many employers quote base salary and add superannuation on top, while others quote a total package. Check the wording in the advert or ask the recruiter directly.

HuntCampaign helps data and analytics job-seekers find relevant roles in Australia and keep their applications organised, so you can spend more time preparing for interviews and less time searching.