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Data Science AIML Program Job Opening In Singapore, Singapore – Now Hiring SAS


Job description

SAS Institute Pte.

Ltd.

Data Analyst – SAS Data Science AIML Program supported by IMDA Company-Led Training Programme

Roles & Responsibilities

Interested to pursue a career in Analytics?


Digital transformation is happening everywhere, impacting our lives daily.

With fast-paced development and adoption in artificial intelligence and machine learning, careers for the future demand for talents with analytical minds.

Individual are empowered to make tactical decisions and strategies, by building models that provide accurate, reliable and accessible metrics.

SAS is committed to nurture qualified, capable individuals, and deepening the skills amongst fresh graduates and young working professionals to be future ready.

The SAS Data Science AIML Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Data Analytics, Artificial Intelligence and Machine Learning.

Data analyst role is a path to future roles such as Data Science, AI Developer, ML Engineer, etc.

Build your caeer path here by building your skills today for tomorrow's future.

Training skills are mapped to TeSA Skills Framework for ICT .

We are currently seeking candidates interested in building a career in Data Analytics.

Why SAS?


SAS is the leader in analytics.

Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster.

Since 1976, SAS has been giving customers around the world THE POWER TO KNOW.

This program first started as SAS Business Intelligence and Analytics (BIA) Program in year 2012.

It is Singapore's largest data science and analytics development program supported by IMDA – established over a decade – our curriculum is curated with modules that are constantly updated to meet the latest development and market trends.

The program provides in-depth teaching which consists of structured training with assessments, certifications, supervision, and mentorship.

As we enter its tenth year, it has since been rebranded as SAS Data Science Artificial Intelligence Machine Learning (AIML) Program to reflect advancement in our training content as well as a greater focus on AIML.

How is the program structured?

Your journey begins at SAS with 4 months of intensive training and assessments to build your knowledge and skills on SAS Programming, SQL, visual analytics, data preparation, machine learning, forecasting and the list goes on.

During the course, you will also attain certifications that are globally accredited, where SAS digital badges posted on your social network profiles can be easily verified by anyone via Credly , our digital credentialing program partner.

Finally, upon successful completion of your training, you will join one of our partners for a 6-month period, where you can apply what you have learnt and put your skillsets into solving real-world problems.

Skills You will Develop:

  • Ability to apply and utilize analytical, statistical, and programming skills to collect, analyze, and interpret large datasets

  • Ability to develop and apply custom data models and algorithms to apply to datasets

  • Ability to use supervised and unsupervised machine learning techniques to increase and optimize business outcomes

  • Ability to design, develop and implement fact-based and data-driven solutions to meet business challenges in the era of artificial intelligence

  • Ability to create visualizations and presentations to deliver analytical findings and provide actionable insight

What we are looking for:

  • Graduates who can join us from October 2025 OR working professionals who graduated less than 3 years from their degree.

  • B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Economics, or equivalent training (we will also consider relevant training attained post-graduation such as Diploma in Data Science).

  • Experience or proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, or R, exposure to ETL.

  • Strong analytical, problem-solving, and critical thinking skills.

  • Excellent communication skills.

  • Big ambitions to succeed within the IT industry.

  • Ability to work autonomously and in a fast-paced environment.

What we offer you:

  • Train and be paid on-the-job (monthly remuneration throughout the Program duration) for industry

recognized training and qualifications.

  • Globally recognised SAS certifications awarded during the Program duration.

  • Live interactive classes – Develop innovative problem-solving capabilities in modern techniques of

data science using a live online classroom through interactive lectures and labs with advanced

course materials provided.

  • Access to virtual labs – using SAS high performance software access to develop codes/models

where learning can take place anytime and anywhere.

  • Mentorship and access to resources during the program duration.

  • Guaranteed OJT with established local enterprises/SAS partners for 6 months so you can gain

hands-on industry project experience and hone your skills.

  • Join our network of program Alumni and SAS communities.

We have multiple start dates all year round, so why not make an application today?

Kindly be informed that only shortlisted candidates will be contacted.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Science Potential: Insight & Career Growth Guide


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Are You Looking for Data Science AIML Program Job?

Great news! is currently hiring and seeking a Data Science AIML Program to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SAS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Science AIML Program Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Science AIML Program?

Key qualifications for Data Science AIML Program typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Science AIML Program?

To improve your chances of getting hired for Data Science AIML Program, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Science AIML Program Job Success

SAS interview tips for Data Science AIML Program

Here are some tips to help you prepare for and ace your Data Science AIML Program job interview:

Before the Interview:

Research: Learn about the SAS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Science AIML Program interview at SAS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SAS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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