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Brisbane, QLD posts a data scientist median of $139,000, which is 34% under the Australia average. The useful question is whether lower prices (COL index 100) and a modeled 1-bedroom near $2,300/month close that gap in real life.
Data scientists turn raw data into insight using statistics, machine learning, and clear communication. In Brisbane, QLD the title is noisy: some “data scientist” seats are analyst work paid near $139,000, while production ML seats push toward $139,000. The $139,000 median is the blended market, not a single job family. Employers screening data scientists in Brisbane, QLD still list Python, SQL, Statistics, and Machine learning as core. The local band runs from about $92,500 at the 10th percentile to $210,000 at the 90th.
The percentiles on this page are observed metro figures for Data Scientist in Brisbane, QLD, not a national median multiplied by a pay index. That matters: you are looking at how this labour market actually priced the role, including local industry mix. They are still estimates of the market — not a promise of what one employer will offer.
Among the 5 Australia metros we can compare for this role, Brisbane ranks 3 by median. Sydney leads this comparison at $158,000 (+14% vs Brisbane), while Adelaide sits at $125,000. Use those gaps to test a relocation thesis: a 15% cash raise that lands in a much more expensive metro can disappear in rent.
Brisbane’s COL index (100) sits nearer the global baseline, so headline and adjusted pay are not far apart ($139,000 vs $139,000). Rent still matters: the 1-bedroom model is $2,300 / month, about 26% of take-home, with leftover near $3,980.
If you are comparing a Brisbane office offer with a location-flexible one, the Australia national median for this role is about $211,000. Local pay is 34% lower — a $72,000 gap. Remote employers often anchor to the national figure; on-site employers in Brisbane are anchoring to this page.
World Bank consumer-price inflation for Australia was about 2.9% in 2025; an illustrative model tied to inflation and the occupation’s outlook suggests pay has risen about 28% over the last few years. Skills in Demand / employer nomination is the usual skilled-hire route (moderate for typical hires): Temporary and permanent skilled visas usually require an occupation on a skills list, skills assessment, and (for many streams) an employer sponsor. At 1.5× Australia GDP per capita, this median is around a typical national living standard. Unemployment was about 4.1% in 2025. None of that is tax, immigration, or career advice — run the calculators and confirm rules officially.
How to read a data scientist offer in Brisbane
Start with gross cash, not the recruiting headline. If an offer lands near $139,000, you are in the lower half of this metro’s observed distribution; near $139,000 you are already paid like a stronger local hire. Then subtract a realistic tax path (simplified national effective rate here is about 24%, leaving $106,232 a year) and a housing number you would actually accept — not only the $2,300 model.
Because the 90th percentile is about 2.3× the 10th, two data scientist jobs in Brisbane can be different careers that share a title. Ask what sits in the package (bonus, overtime, equity, on-call) before you treat $139,000 as a fair target.
Demand and the data scientist pipeline
Occupation-level employment for data scientists is projected at about +35% over ten years. That is a national sketch of demand, not a forecast that Brisbane will hire at that rate. Local openings still follow Brisbane’s industry mix — hospitals, studios, public employers, or product companies — which is already baked into the observed percentiles more than into the outlook percentage.
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