Data Scientist Salary in Philippines

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

What Data Scientists Make in Philippines

The middle 50% of data scientists in Philippines earn between ₱1,810,000 and ₱2,700,000 a year, with the median at ₱2,190,000. Where you fall in that range depends mostly on three things: years of experience, employer type, and specialization. Because a large share of this work can be done remotely, professionals in Philippines increasingly compete for — and win — roles paying closer to international rates, which stretches the top of the local range upward.

How Philippines Compares Globally

Converted to US dollars, the median data scientist salary in Philippines is $35,582 — 28% of what the same role pays in the United States ($125,000). The highest-paying countries we track for this role are Singapore ($206,571), Ireland ($188,496), Qatar ($180,769). Raw exchange-rate comparisons undersell local earnings, though: costs for housing, food, and services in Philippines are proportionally lower, so the lifestyle a median salary buys is better than the USD figure implies.

Salary Growth by Experience

Experience pays in this field: entry-level roles average ₱1,490,000, mid-career professionals earn a median of ₱2,190,000, and senior specialists reach ₱3,030,000+. That is a 2.0x span from first job to senior level. In Philippines, the biggest single jumps typically come from switching employers rather than internal raises — a pattern consistent across most markets we track.

Job Market Outlook for Data Scientists

Demand for data scientists in Philippines is very high, scoring 83/100 on our demand index. About 80% of positions in this field can be performed remotely or in hybrid arrangements, which widens the effective job market for candidates in Philippines beyond national borders. For job seekers this tilts negotiating leverage toward candidates: multiple offers are realistic, and counter-offers are common.

Inflation and Real Earnings

Inflation in Philippines is a modest 1.7%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 1.7% represent genuine real-terms gains.

Required Skills and Education

Most employers expect master's degree in a quantitative field (often preferred). Day to day, the skills that consistently correlate with higher pay in this field are python, statistics, machine learning — and, at senior levels, sql and data visualization. In interviews, evidence beats credentials: portfolios, measurable outcomes, and references matter more to the final offer than the certificate list.

Adjacent Careers and Pivots

Data Scientists commonly pivot into roles like Data Analyst, Machine Learning Engineer, Data Engineer, either to specialize or to chase stronger demand. If pay growth in your current track stalls, comparing medians across these adjacent roles is a good first step.