Singapore Data Science Jobs 2025 are in high demand as Singapore continues its digital transformation into a Smart Nation. With top companies and government agencies hiring data scientists, machine learning engineers, and analytics experts, this is your chance to enter one of the most rewarding and future-proof career fields. The tech ecosystem is thriving, salaries are globally competitive, and there is high demand for both local and international talent with advanced data skills.

3: Why Join This
Choosing a data science career in Singapore means working in one of the most technologically advanced and economically stable nations in the world. Singapore is home to global tech giants, fast-scaling startups, and government agencies that are leading innovation in AI, healthcare, and finance. As a data professional, you’ll have access to cutting-edge tools, a vibrant digital ecosystem, and countless opportunities for upskilling and international exposure. With competitive salaries, tax-friendly laws, and a high standard of living, this is one of the best places in the world to build your data science career.
4: Contact Detail for Job
- Official Job Portal: https://www.mycareersfuture.gov.sg
- GovTech Careers: https://www.tech.gov.sg/careers
- Email (General Inquiries): contact@mycareersfuture.gov.sg
- Phone (GovTech HR): +65 6332 1020
- LinkedIn Jobs Singapore: https://www.linkedin.com/jobs
5: Vacancies Names and Eligibility Criteria
1. Data Scientist
- Education: Bachelor’s or Master’s in Data Science, Statistics, or Computer Science
- Gender: All genders
- Age: 21–45 years
- Experience: Minimum 1 year in Python, R, machine learning, or statistical modeling
- Location: Central Singapore, Fusionopolis, One-North
2. Machine Learning Engineer
- Education: Bachelor’s or PhD in AI, Engineering, or Computer Science
- Gender: All genders
- Age: 22–40 years
- Experience: 2–5 years using TensorFlow, PyTorch, deep learning frameworks
- Location: Tech hubs and innovation labs
3. Data Analyst
- Education: Bachelor’s in Business Analytics, Statistics, or Economics
- Gender: All genders
- Age: 20–40 years
- Experience: 1–2 years with Excel, SQL, Power BI, Tableau
- Location: Corporate offices and MNCs in Raffles Place, CBD
4. Big Data Engineer
- Education: Bachelor’s in IT, Engineering, or Computer Science
- Gender: All genders
- Age: 22–45 years
- Experience: 2–4 years in Hadoop, Spark, Kafka
- Location: Logistics, fintech, and health sectors
5. AI Research Scientist
- Education: Master’s or PhD in AI, Robotics, Data Science
- Gender: All genders
- Age: 25–50 years
- Experience: Academic or corporate AI research preferred
- Location: GovTech, NUS, A*STAR, and innovation labs
6: Table – For job
Category | Details |
---|---|
Organization Name | GovTech, Shopee, Grab, DBS, NUS, A*STAR |
Post Name | Data Scientist, ML Engineer, Analyst, Researcher |
Gender | All genders |
Age Limit | 20–50 years |
Education | Bachelor’s, Master’s, or PhD in related fields |
Domicile | Singaporeans, PR, or Work Pass holders |
Apply Procedure | Online application through portals |
Vacancy Location | One-North, CBD, Remote, Tech Parks |
Last Date | Open until filled (check each post) |
7: How to Step-by-Step Apply in Human Tone
- Go to the official job portal – Visit www.mycareersfuture.gov.sg or the company’s own career site.
- Search relevant keywords – Use “Data Scientist”, “ML Engineer”, or “Data Analyst Singapore 2025”.
- Create your profile – Register and create a strong online resume profile.
- Submit your resume – Make sure your CV includes your technical skills, certifications, and project portfolios.
- Tailor your cover letter – Write a short, focused cover letter highlighting your analytical mindset and problem-solving abilities.
- Prepare for assessment – Some roles may include data challenges or coding assessments.
- Attend virtual interviews – Be ready for both technical and behavioral interviews.
- Follow up – After applying, follow up in 7–10 business days.
- Accept your offer and onboard – Once selected, you’ll receive job details and onboarding documents.
8: Benefits of This Job
- Competitive Salaries: SGD 5,000–12,000/month depending on experience
- Tech-Forward Environment: Work with AI, cloud computing, and automation tools
- Flexible Work Arrangements: Hybrid and remote roles available
- Career Development: Courses, certifications, and conferences funded by employers
- Global Teams: Work alongside professionals from all over the world
- Safe and Stable Country: Low crime, efficient transport, and healthcare
- Low Personal Tax: One of the most tax-efficient countries globally
- Diversity and Inclusion: Equal opportunities and progressive workplace culture
9: Conclusion
Singapore Data Science Jobs 2025 are the gateway to building a high-growth career in a city known for technology, stability, and innovation. With companies racing to adopt AI, analytics, and automation, skilled data professionals are in high demand. Whether you’re fresh out of university or have years of experience, Singapore offers one of the best environments in the world to work with data, solve real-world problems, and enjoy a great quality of life. Don’t miss your chance — apply now and be part of Singapore’s Smart Nation journey.
FAQS ABOUT JOB
What qualifications are required for data science jobs in Singapore 2025?
A Bachelor’s or Master’s in Data Science, Statistics, or Computer Science is typically required. Experience with Python, R, and machine learning tools is a big plus.
Are data science jobs in Singapore open to foreigners in 2025?
Yes, many companies hire foreign professionals with valid work passes. Singapore encourages skilled international tech talent.
What is the average salary for data scientists in Singapore in 2025?
Entry-level salaries start at SGD 4,500/month, while senior roles can reach SGD 12,000–15,000/month. Pay depends on experience and skills.
Which companies are hiring data scientists in Singapore in 2025?
Top employers include GovTech, Shopee, Grab, DBS Bank, and Google. Many startups and MNCs are also actively hiring data talent.
How can I improve my chances of landing a data science job in Singapore?
Build a strong project portfolio, get certified, and network via LinkedIn or meetups. Tailor your resume to job-specific skills and tools.