Mundevo

Data scientist · Melbourne, Australia

Data scientist salary in Melbourne — typical band and what it buys

Mid-senior data scientist building production analytics, experimentation systems, or applied ML.

Illustrative band — not a quote. Scaled from NYC P50 by a qualitative city-pay multiplier and FX. Verify against current Levels.fyi, Glassdoor, or LinkedIn Salary Insights data before negotiation.

Estimated band

Data scientist gross salary in Melbourne

Local-currency band derived from a $87,500 NYC P50 anchor × 0.50 city multiplier × 1.5278 AUD/USD.

P25 (gross/year)
A$103,125
Bottom quartile
P50 (gross/year)
A$133,681
Median
P75 (gross/year)
A$175,694
Top quartile

What A$133,681 gross buys you in Melbourne

Net after Australia's effective payroll deduction, mapped to Mundevo's lifestyle tiers.

Net / month at P50
A$8,578
After local taxes
Best supported tier
Premium
+28% headroom
Net / year at P50
A$102,934
Annual take-home

Required monthly net at each tier in Melbourne

Where the P50 salary lands across Mundevo's four lifestyle tiers.

TierRequired net / monthYour P50 net covers it?
PremiumBest fitA$6,679Yes
ComfortableA$5,443Yes
BalancedA$4,550Yes
FrugalA$3,658Yes

Who this band describes

The data scientist band covers mid-to-senior ICs (4-7 years experience). Modern usage of the title spans applied ML, experimentation/causal inference, and production analytics — the bands are similar across these specializations.

Pay is highest at tech companies with mature data platforms and at quant-driven trading/finance firms. Mid-band: enterprise SaaS, large consumer brands building in-house analytics teams, and consultancies. Pure-research data-science roles (without engineering production responsibility) tend to pay 10-15% below the band shown.

Common employer types at this band: Tech product companies, Quant/finance, Enterprise SaaS, Consumer platforms, Consultancies.

Cross-check before negotiation

Mundevo's band is derived, not surveyed. For an offer conversation, anchor on at least one of these.

  • Levels.fyi — strong coverage at public tech companies
  • Glassdoor — broader market view
  • KDnuggets / data-science surveys — annual global snapshots

Related terms

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