Don’t you feel amazed to see that everything, from your morning commute through Google Maps to your evening entertainment through Netflix, is powered by data science these days? Data science is the invisible force behind the choices we make—what we watch, where we go, and even what we buy. Singapore is becoming one of the hottest spots to master and build a career in this field.
According to LinkedIn’s Jobs on Rise 2025 report, with an annual growth rate of 81%, data science has emerged as the most common skill required for the fastest-growing jobs in Singapore. However, the road to starting a career in data science is not a cakewalk, especially for a beginner.
Hence, we crafted this step-by-step guide to help you understand how to become a Data Scientist in Singapore.
Step-by-step guide to starting a data science career in Singapore
So, here is a roadmap to kickstart a successful career in today’s most in-demand fields.
Step 1: Understand what data science entails
Before we shed light on how to become a Data Scientist, we think it is crucial to understand what Data Science is. It is a technical field that combines mathematics, statistics, and programming with domain expertise. This science helps to analyse and interpret complex data to extract knowledge for better decision-making. Professionals in this field work with large datasets in key roles such as Data Scientist, Data Engineer, Machine Learning Engineer, and Business Intelligence Analyst.
Step 2: Assess your educational background
Most data scientists come from a mathematical or computer science educational background. However, the trends are changing now, and even graduates from economics and social sciences are welcomed with open arms in this emerging field. In Singapore, employers are now keen to accept candidates from diverse academic disciplines, provided they can demonstrate the right skills. Moreover, one can easily bridge the knowledge gap even if one is not from a non-tech background by enrolling in an online certification course in Data Science.
Step 3: Acquire relevant skills and knowledge
Acquire the relevant skills to build a strong foundation in both technical and non-technical areas that align with industry expectations.
The table below will acquaint you with the main skills required to build a career in data science:
| Type of skill | Description | Examples & tools |
| Technical skills | Core skills required by a data scientist to process, analyse, and model data. |
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| Non-technical skills | Soft skills required by a data scientist to effectively interpret results and align them with business goals. |
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Also Read: Get Ahead with a Master’s in Data Science in Singapore
Step 4: Gain practical experience
Pursue internships in data analysis or machine learning to gain practical experience. Alternatively, you must look for work on freelance projects to gain valuable experience. Make sure to keep a track of your projects and skills developed during the internship.
Step 5: Network and engage with the data science community
Reach out to professors and industry contacts for guidance in this field. Try to follow industry influencers on social media platforms and engage with the data science community to learn and grow further in this popular field with various like-minded professionals.
Step 6: Tailor your resume and prepare for interviews
Lastly, it is time to draft a resume before applying for the post of Data Scientist. Tailor each application to match the job description for which you are applying. Ensure clarity in your resume and highlight relevant skills and experiences. At the same time, research common interview questions and familiarise yourself with case studies.
Also Read: Why Take A Data Science Course in Singapore?
Challenges and how to overcome them
The road to a career in data science is not easy, and many data science beginners face some challenges at some point or another. Let us talk about these challenges one by one and discover solutions to tackle them smartly:
Challenge 1: Information overload – Sometimes, too much information is also dangerous. So is the case with countless online courses, tutorials, and resources available for data science. This information overload makes one unsure about where to begin.
Solution: The best way to deal with it is to start with a structured learning path by choosing one platform, like upGrad, at a time. Proceed to the advanced topics only after mastering the first step.
Challenge 2: Lack of confidence – Beginners in data science often lack confidence, thinking only a Ph.D can help them succeed in this career.
Solution: You can smartly deal with this challenge by shifting your mindset. For instance, start by taking small steps and celebrate progress. Also, engage with online communities to grow confidence and experience.
Challenge 3: Unclear learning paths – Many budding data scientists don’t know how to apply the skills learned in real-world roles.
Solution: Breaking the journey into stages can make it easy. For instance, start with learning the programming languages, exploring tools for data visualisation, and then move to real-world projects.
Also Read: The Future of Data Science Trends and Predictions
Master data science anytime, anywhere with upGrad
Join hands with upGrad to learn how to become a Data Scientist in Singapore. Learn the latest in data analytics, machine learning, and AI from top-tier universities, anytime and anywhere, through upGrad. Gain hands-on experience and boost your expertise with flexible online learning.
Take control of your future with the following online data science courses through upGrad and become a part of the data revolution!
- Master of Business Administration (Golden Gate University)
- MBA from O.P. Jindal Global University
- Master of Business Administration (Edgewood College)
- Master of Business Administration from Liverpool Business School
- MBA from Paris School of Business
For more information, email at query@upgrad.com or call +65-6232-6730
FAQs on Career in Data Science
Q: What qualifications do I need to start a career in data science in Singapore?
Ans: To start a career in data science in Singapore, you will need a strong foundation in mathematics, programming, statistics, and machine learning. Moreover, a degree in computer science or any related field will be an added advantage to become a successful Data Scientist in Singapore.
Q: Are online certifications recognised by employers in Singapore?
Ans: Yes, online certifications are recognised by employers in Singapore, particularly when they are from reputable platforms or institutions. Employers now give equal value to these certifications as traditional campus degrees, as they showcase initiative and up-to-date skills.
Q: Are there specific industries in Singapore that hire more data scientists?
Ans: Yes, there are specific industries in Singapore that have a strong demand for data scientists, for instance:
- Healthcare and Biotech
- Transport and Logistics
- E-Commerce and Retail
- Financial Services and FinTech
- Government and Smart National Initiatives
Q: What programming languages are essential for data science?
Ans: Having a strong grip on programming languages is crucial for data manipulation, machine learning, and handling large datasets in data science. Some of the essential programming languages for anyone looking to build a career in data science are:
- Python
- SQL
- MATLAB
- Java
- SAS
Q: What is the average salary for a data scientist in Singapore?
Ans: The salary of a data scientist in Singapore varies based on the experience level, type of industry, and skills possessed by the professional. The average salary of a data scientist in Singapore is approximately ₹105 lakh per annum.
