Hanoi
Buenos AiresWhy Data Scientist pay in Melbourne sits 27% below the Australia average
Melbourne, VIC posts a data scientist median of $153,000, which is 27% 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 Melbourne, VIC the title is noisy: some “data scientist” seats are analyst work paid near $153,000, while production ML seats push toward $153,000. The $153,000 median is the blended market, not a single job family. Employers screening data scientists in Melbourne, VIC still list Python, SQL, Statistics, and Machine learning as core. The local band runs from about $101,000 at the 10th percentile to $230,000 at the 90th.
The percentiles on this page are observed metro figures for Data Scientist in Melbourne, VIC, 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, Melbourne ranks 2 by median. Sydney leads this comparison at $158,000 (+3% vs Melbourne), 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.
Melbourne’s COL index (100) sits nearer the global baseline, so headline and adjusted pay are not far apart ($153,000 vs $153,000). Rent still matters: the 1-bedroom model is $2,300 / month, about 24% of take-home, with leftover near $4,710.
If you are comparing a Melbourne office offer with a location-flexible one, the Australia national median for this role is about $211,000. Local pay is 27% lower — a $58,000 gap. Remote employers often anchor to the national figure; on-site employers in Melbourne 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 1.7× 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 Melbourne
Start with gross cash, not the recruiting headline. If an offer lands near $153,000, you are in the lower half of this metro’s observed distribution; near $153,000 you are already paid like a stronger local hire. Then subtract a realistic tax path (simplified national effective rate here is about 25%, leaving $115,052 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 Melbourne can be different careers that share a title. Ask what sits in the package (bonus, overtime, equity, on-call) before you treat $153,000 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 Melbourne will hire at that rate. Local openings still follow Melbourne’s industry mix — hospitals, studios, public employers, or product companies — which is already baked into the observed percentiles more than into the outlook percentage.
India
Philippines
Indonesia
Mexico
Thailand
Brazil
Portugal
Colombia