Singapore has emerged as a global hub for tech companies, including startups, drawing investors and entrepreneurs worldwide. Additionally, the demand for data scientists is rapidly growing, with experts projecting a 36% increase in demand between 2023 and 2033.
In this blog, we will talk about the data scientist demand in Singapore, most prominent companies hiring data scientists in Singapore, even as we aim to help job-seekers looking to work in these profiles in the country.
Take your skills to the next level — Explore Data Science Courses Online
Why Data Scientists Are in Demand in Singapore?
Businesses in Singapore are using data much more closely in everyday decision-making. Teams study customer behavior, forecast demand, reduce fraud, improve supply chains, and understand what is working across products and services. That is one reason the top companies hiring data scientists continue to grow their analytics teams.
The demand is no longer limited to technology firms. Banks, healthcare providers, logistics companies, retailers, and government agencies are also hiring people who can work with data and turn it into useful business direction.
Leading Companies Hiring Data Scientists in Singapore
The top companies offering data science jobs in Singapore span a diverse range of sectors, as you will see in the list below:
| Name of Company | Position Being Offered | Eligibility/ Requirements |
| Apple | Human-Centered AI – Data Scientist – ASE | Experience with ML concepts Proven expertise in data analysis |
| Singapore Airlines | Information Technology – Data Scientist (Data Science Track) | MS and PhD in AI or ML preferred Intermediate Python programming skills |
| TikTok | Data Scientist Intern (Applied AI) | Strong technical skills in SQL and scripting languages Postgraduate or undergraduate in a technical discipline |
| PwC | Risk Services – AI Factory (Data Scientist) Assistant Associate / Associate | Degree in a quantitative field Python proficiency |
| SAP | Associate AI Scientist / AI Scientist – SAP Labs Singapore | UG or PG specialisation in AI Around 3 years’ work experience as a data scientist |
| Overmind | Data Analyst | Mastery of data analysis and SQL Love for dashboards and BI |
| Network Express Courier Services | Data Scientist | Bachelor’s degree in related domains like CS or Data Analytics 1-3 years’ experience in building reports using BI or data analytics tools |
| Pundi X Labs | Data Engineer / AI Scientist Intern | Computer Science graduates or those with work experience |
| One Tech Stop | Data Scientist Intern | Pursuing or holding a Master’s degree in a related domain like Data Science or AI SQL and Python proficiency |
| Titansoft | Data Scientist | Experience of working with statistical software A/B and multivariate testing management skills |
| OCBC Bank | Data Scientist, Risk Analyst | Working knowledge of Python, SQL, and statistics. Experience handling banking, customer, or risk-related data. |
| UOB | Data Scientist, Business Analytics Manager | Comfortable working with analytics tools, SQL, and machine learning basics. Able to turn data findings into useful business recommendations. |
| ByteDance | Data Scientist, Machine Learning Engineer | Hands-on experience with Python, SQL, and large datasets. Understanding of user behavior analysis, testing, and recommendation models. |
| NCS | Data Scientist, AI Consultant | Familiarity with data analysis, machine learning, and Python tools. Exposure to enterprise projects or digital transformation work is useful. |
| Micron Technology | Data Scientist, Data Engineer, Analytics Engineer | Good understanding of statistics, Python, and data analysis methods. Experience with manufacturing, operations, or supply chain data is preferred. |
Disclaimer: The information above is based on publicly available listings and job postings as of May 9th, 2025.
1. Apple
As a selected candidate, you will join Apple’s Human-Centered AI Team and play a key role in enhancing the user experience. Your primary responsibilities will include collaborating with the Engineering, Operations, Product, Editorial, and Research teams on various critical initiatives.
2. Singapore Airlines
You will be an integral member of the in-house data science and AI development team, focusing on AI, Game Theory, mathematical optimization, and experimental design. Your contributions will help shape innovative solutions that drive the future of technology.
3. TikTok
As part of the Data Solutions team, you will help strategically analyze data at scale and apply insights to meet the organization’s diverse Global Business Solution needs. Your work will directly impact TikTok’s data-driven decision-making and innovation.
4. PwC
As part of the analytics and data engineering team at PwC, you will focus on using the latest and best techniques and technologies to develop and design some of the most robust data solutions for clients.
5. SAP
As an Associate AI Scientist or AI Scientist, you will work with a team comprising dedicated experts to fulfill the single goal of building the best AI products ever.
6. Overmind
As a Data Analyst in Overmind, you will manage the organisation’s user retention and acquisition funnels. You will also develop, track, implement, and optimize user acquisition campaigns on various platforms.
Also Read: Can You Become a Data Scientist without a Master’s Degree in Singapore?
7. Network Express Courier Services
In this role, you’ll clean and extract data from multiple sources to generate accurate daily, weekly, and monthly reports. Your insights will support operational efficiency and data-driven decision-making.
8. Pundi X Labs
Your primary duty in this particular role would be to support the AI Scientist or Data Engineer with their daily work. You will also help design, develop, and maintain scalable data pipelines.
9. One Tech Stop
Your primary responsibility as a Data Scientist Intern at One Tech Stop will be to work closely with the data science team and contribute to live projects. You will help with designing, implementing, and developing data-driven solutions.
10. Titansoft
As a Data Scientist at Titansoft, you will analyse data to help business leaders and product owners make business decisions and meet similar requirements. You will also develop and automate reports for analytical purposes.
11. OCBC Bank
At OCBC Bank, you may work with customer and transaction data to support digital banking, fraud checks, and risk analysis. The role usually involves helping teams spot trends, understand customer behavior, and make better day-to-day decisions.
Also Read: Predictive Analytics: Future Trends and Patterns
12. UOB
Data professionals at UOB support customer analytics, digital banking projects, and business intelligence initiatives. A large part of the work involves studying data patterns and turning those findings into ideas that improve customer experience and business performance.
13. ByteDance
Data roles at ByteDance involve working with large-scale user data to understand how people interact with products and content. These insights help improve recommendations, measure content performance, and guide product decisions.
14. NCS
Projects at NCS often involve solving business and operational challenges through data-led thinking. Data professionals may work with enterprise clients and public sector teams to build practical analytics solutions that improve services and everyday operations.
15. Micron Technology
Teams at Micron Technology use data to improve manufacturing processes, production planning, and day-to-day operations. The role often involves studying operational trends, identifying areas for efficiency gains, and helping reduce delays across the production cycle.
Also Read: Data Science Certifications for Professionals in Singapore
Skills Required for Data Science Jobs in Singapore
Employers usually look for people who can work with data confidently and explain what it means in a business setting.
Core Technical Skills:
- Python, SQL, and R
- Statistics and probability
- Machine learning basics
- Data visualization tools such as Tableau or Power BI
- Cloud platforms such as AWS or Azure
Business Skills:
- Problem-solving
- Communication
- Turning analysis into practical recommendations
Also Read: How to Start a Career in Data Science in Singapore?
Future Scope of Data Science in Singapore (2026 and Beyond)
Data science is expected to remain an important career path in Singapore over the next few years. Companies are looking for people who can work with data, understand business problems, and help teams make better decisions.
- AI Adoption: More companies are moving beyond small-scale experiments and adopting AI in daily business operations.
- Predictive Decision-Making: Businesses are relying more on data to forecast demand, understand customer behavior, and plan ahead.
- Wider Industry Demand: Hiring is growing across finance, healthcare, logistics, retail, manufacturing, and the public sector.
- Cross-Functional Roles: Data professionals are increasingly working closely with product, operations, marketing, and leadership teams.
- Business Impact: Employers are placing more value on people who can connect analysis with practical business outcomes.
Also Read: Is a Master’s in Data Science worth it for a Career Switch in Singapore?
Best Courses to Become a Data Scientist in Singapore
Many people do not begin their careers in data science. Some move in from engineering, business, analytics, or operations. A structured course can make that shift easier by helping build the right foundation.
Useful options include:
- Data science and analytics programs through upGrad
- Postgraduate certificates in data analytics
- Python, SQL, and machine learning certifications
- Practical projects based on real business datasets
Also Read: Best Free Data Science Courses Online in Singapore
Tips to Land the Best Data Science Jobs in Singapore
If you want to work in the top industries for data science, you should have a clear idea of how to go about it. Well, here are the various tips to try in this regard:
- Tailor your resume and portfolio to the needs of your prospective employers.
- Employ platforms such as LinkedIn, MyCareersFuture, and Glints.
- Network with the local tech communities – participate in meet-ups and online forums.
- Think about boot camps and local certifications.
- Focus on skills recruiters seek, such as Python, Machine Learning Frameworks, AWS, business and communication acumen, and experience working with large datasets.
Also Read: Exploring Data Science Jobs in Singapore: Opportunities, Salaries, and Skills
Upskill with the Data Science Programs of upGrad to Land the Best Data Science Jobs in Singapore
The Data Science and Analytics programmes at upGrad help you harness the potential of data and elevate your skills. These benefits, in turn, help you land the best data scientist jobs Singapore with the top recruiters. The best options you have in this regard are:
- Master of Science in Data Science, Liverpool John Moores University
- Executive Diploma in Data Science and AI, IIIT Bangalore
- Post Graduate Certificate in Data Science & AI (Executive), IIIT Bangalore
For more information, email at query@upgrad.com or call +65-6232-6730
Related Articles
- 5 In-Demand Technical Skills in Singapore You Can Pick Up Through Courses
- Highest Paying Companies in Singapore
- How to Earn Passive Income as a Data Scientist in Singapore
- Data Science Master’s Vs. Self-Learning In Singapore
🎓 Explore Our Top-Rated Courses in Singapore
Take the next step in your career with industry-relevant online courses designed for working professionals in Singapore.
FAQs on Top Companies Hiring Data Scientists in Singapore
Ans: Yes, there is an immense demand for data scientists in Singapore. The leading sectors are healthcare, finance, and logistics. Businesses nowadays depend more on data-powered strategies for success and growth.
Ans: The best companies where you can work as a data scientist in Singapore are:
Apple
Singapore Airlines
PwC
SAP
Titansoft
Ans: On average, a data scientist earns SGD 119,718 yearly in Singapore. This figure includes additional benefits in addition to the base salary.
Ans: The following Data Science roles enjoy the highest demand in Singapore:
Data Scientist
Data Analyst
Data Engineer
Machine Learning Engineer
Ans: Some of the best data science jobs in Singapore include Machine Learning Engineer, Research Scientist, and Big Data Engineer. These roles are highly sought after and offer some of the highest salaries in the field.
Ans: The most in-demand languages are Python, R, and SQL, with growing demand for Java, Scala, and Julia in big data and advanced analytics.
Ans: Leading data science companies in Singapore include global tech firms, fintech companies, consulting firms, and startups specializing in AI, analytics, and big data solutions.
Ans: Data scientist demand is increasing in Singapore because companies across sectors are rapidly adopting AI, big data, and digital transformation. Businesses need data scientists to analyze large datasets, improve decision-making, automate processes, and gain competitive advantages. Strong government support for technology, growth in fintech and smart nation initiatives, and a shortage of skilled professionals further drive this demand.
