Data scientist · Manila, Philippines
Data scientist salary in Manila — typical band and what it buys
Mid-senior data scientist building production analytics, experimentation systems, or applied ML.
Data signals
What the numbers say
The pay band
A data scientist in Manila typically earns around 5,023,148 PHP (mid-market), with most offers between 3,875,000 PHP and 6,601,852 PHP.
What it nets and supports
After local tax the mid-market figure nets about 351,620 PHP/month — enough to support a premium lifestyle in Manila.
Versus the New York benchmark
Pay for this role in Manila runs about 50% of the New York rate before adjusting for cost of living.
Estimated band
Data scientist gross salary in Manila
Local-currency band derived from a $87,500 NYC P50 anchor × 0.50 city multiplier × 57.4074 PHP/USD.
What ₱5,023,148 gross buys you in Manila
Net after Philippines's effective payroll deduction, mapped to Mundevo's lifestyle tiers.
Required monthly net at each tier in Manila
Where the P50 salary lands across Mundevo's four lifestyle tiers.
| Tier | Required net / month | Your P50 net covers it? |
|---|---|---|
| PremiumBest fit | ₱95,133 | Yes |
| Comfortable | ₱73,978 | Yes |
| Balanced | ₱59,111 | Yes |
| Frugal | ₱44,244 | Yes |
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