Data Scientist Salary in Singapore (2025)

The data scientist salary in Singapore ranges from S$60,000 to S$200,000 per year, depending on experience, industry, and specialisation. That's roughly S$5,000 to S$16,700 per month before CPF. The biggest salary drivers are years of experience, the industry you work in, and whether your role leans toward analytics or machine learning engineering.

This guide breaks down the numbers so you can benchmark your compensation or plan your next career move.

Data Scientist Salary in Singapore (2025)

Here's what data scientists earn at each career level in Singapore:

Level	Experience	Monthly Salary	Annual Salary
Junior	0–2 years	S$5,000	S$60,000
Mid-Level	2–5 years	S$8,750	S$105,000
Senior	5–8 years	S$11,670	S$140,000
Lead / Principal	8+ years	S$15,000	S$180,000

These figures reflect base salary. At top-tier companies, total compensation — including bonuses, equity, and sign-on bonuses — can push packages 20–40% above base, especially at senior levels. Quant-focused roles at hedge funds and proprietary trading firms can exceed S$200,000 even at the mid-level.

The median data scientist salary in Singapore sits around S$100,000–S$110,000 per year, or roughly S$8,300–S$9,200 per month. You can explore the full Data Scientist career path and skill roadmap to see what skills drive progression through these levels.

Data Scientist vs Data Analyst Salary in Singapore

Data scientists and data analysts are frequently confused, but the compensation gap is significant. Data scientists earn 20–40% more than data analysts at equivalent experience levels.

	Data Scientist	Data Analyst
Median Salary	S$8,750/month (S$105k/year)	S$5,500/month (S$66k/year)
Entry Requirements	Degree in CS, Statistics, or related field; Python, ML	Degree in any quantitative field; SQL, Excel, BI tools
Typical Titles	Data Scientist, ML Scientist, Applied Scientist	Data Analyst, Business Analyst, BI Analyst

The premium comes down to scope. Data analysts focus on dashboards, reporting, and descriptive insights. Data scientists build predictive models, run experiments, and deploy machine learning systems. If you're currently a data analyst looking to move into data science, read our guide on how to become a data scientist in Singapore for a practical transition plan.

Data Scientist Salary by Industry in Singapore

Where you work has a major impact on your earning potential as a data scientist in Singapore.

Financial services (DBS, OCBC, UOB, hedge funds) — The highest-paying sector for data scientists in Singapore. Banks need data scientists for credit risk modelling, fraud detection, and algorithmic trading. Senior data scientists at Singapore's big three banks earn S$12,000–S$16,000/month. Hedge funds and proprietary trading firms (Millennium, Citadel, Jump Trading) pay even more, with quant researchers commanding S$200,000+ packages. The tradeoff is stricter regulatory environments and slower deployment cycles.

Tech companies (Grab, Sea Group, Shopee) — Strong base salaries with competitive equity packages. Regional tech companies run well-established data science teams and offer exposure to large-scale ML systems. Mid-level data scientists at Grab or Shopee typically earn S$9,000–S$12,000/month in base, with RSUs adding 15–30% on top. These roles are good for career growth because you ship models to production.

Government (GovTech, ASTAR, MOH Holdings) — Stable employment, good work-life balance, and meaningful public-sector impact. Base salaries are 5–15% below private sector, but total compensation is competitive when factoring in bonuses, pension benefits, and job security. ASTAR offers research-track positions for PhD holders. Requires Singapore citizenship or PR for most roles.

Consulting (McKinsey QuantumBlack, BCG Gamma) — High pay, high hours. These analytics arms of top consulting firms pay S$10,000–S$15,000/month for data scientists, with strong bonus structures. The work is project-based and client-facing, which suits people who prefer variety over depth. Expect 50–60 hour weeks and frequent travel.

FMCG and retail (P&G, Unilever, FairPrice Group) — Lower salaries compared to finance and tech, with mid-level data scientists earning S$7,000–S$9,000/month. However, these sectors are investing heavily in demand forecasting, supply chain optimisation, and customer analytics. Good entry points if you want applied data science experience with more predictable hours.

Does a Masters Degree Increase Your Data Scientist Salary in Singapore?

It depends on the role. A Masters degree is not a universal salary booster for data scientists in Singapore, but it matters in specific contexts.

When it helps: Research-focused roles at A*STAR, DSO National Laboratories, or university-affiliated labs strongly prefer or require a Masters or PhD. Quant finance roles at hedge funds and banks value advanced degrees in statistics, mathematics, or physics. In these settings, a Masters can add S$500–S$1,500/month to your starting salary compared to a Bachelor's holder.

When it doesn't matter much: Product analytics roles, startup data science positions, and most mid-level industry roles care more about your portfolio, shipped models, and technical interview performance than your degree. A data scientist at Grab or Shopee with 3 years of experience and a Bachelor's will out-earn a fresh Masters graduate. Companies like these evaluate your ability to solve real business problems with data, not your academic credentials.

The practical advice: if you're already working, a part-time Masters (NUS MSBA, NTU MSDS) can complement your experience. But don't pause your career for 1–2 years of full-time study purely for a salary bump — the opportunity cost often exceeds the premium.

How to Increase Your Data Scientist Salary in Singapore

Specialise into ML Engineering or MLOps — Data scientists who can deploy and maintain models in production command a significant premium. Companies struggle to hire people who bridge the gap between Jupyter notebooks and production systems. Skills in Docker, Kubernetes, MLflow, and cloud platforms (AWS SageMaker, GCP Vertex AI) can add 15–25% to your compensation. See our guide on AI/ML Engineer salaries for what this track pays.

Build a public profile on Kaggle and GitHub — Competition rankings, well-documented notebooks, and open-source contributions signal competence in ways that CVs cannot. Kaggle Grandmaster or Expert status is recognised by hiring managers across Singapore. A strong GitHub portfolio with end-to-end ML projects reduces hiring risk and gives you leverage in negotiations.

Target financial services — If maximising income is your priority, move toward banking or hedge funds. Financial services consistently pays 20–30% more than other sectors for equivalent data science skills. DBS, OCBC, and UOB have all expanded their data science teams significantly, and hedge funds like Millennium and GIC are always recruiting.

Consider A*STAR or DSO for the research track — If you have a PhD or strong research background, government research institutions offer competitive packages with the added benefit of publishing opportunities and long-term career stability. These roles are harder to get but offer a unique career trajectory. You can search for current data science openings on MyCareersFuture to compare what's available across sectors.

Frequently Asked Questions

What is the starting salary for a Data Scientist in Singapore?

The starting salary for a data scientist in Singapore with 0–2 years of experience is approximately S$5,000/month (S$60,000/year). Fresh graduates from NUS, NTU, or overseas universities entering data science roles typically start in the S$4,500–S$5,500/month range. Graduates joining top tech companies or financial institutions may start at the higher end. Bootcamp graduates with strong portfolios can enter at similar levels but may need to start as data analysts first.

Is Data Science well paid in Singapore?

Yes. Data science is one of the higher-paying professions in Singapore, with median salaries of S$8,750/month — well above the national median income. Senior data scientists earn S$11,670–S$15,000/month, and specialised roles in ML engineering or quant finance pay even more. According to MOM's Occupational Wage data, data-related roles are among the top-paying occupations in the PMET category.

How much does a Data Scientist at GovTech earn?

Data scientists at GovTech typically earn S$5,500–S$10,000/month depending on experience level, with senior data scientists earning S$10,000–S$13,000/month. GovTech compensation is 5–15% below equivalent private sector roles on base salary, but total packages are competitive when including bonuses (typically 2–4 months) and public sector benefits. The main draw is meaningful work on national-scale data projects and strong work-life balance.

What is the salary difference between a Data Scientist and ML Engineer in Singapore?

ML engineers in Singapore earn 10–20% more than data scientists at equivalent experience levels. A mid-level data scientist earning S$8,750/month can expect S$9,500–S$10,500/month as an ML engineer. The premium reflects the scarcity of engineers who can build production ML systems. Data scientists who transition into ML engineering — by learning software engineering fundamentals, MLOps, and cloud infrastructure — often see significant salary jumps without changing companies.