Executive/ Senior Executive (Analytics & AI), Centre for Future-Ready Graduates

National University of Singapore; Singapore; On-site; SGD 40,000 - 60,000; Full time

Job summary

A leading educational institution in Singapore is looking for an Executive/Senior Executive in Analytics & AI. You will work closely with stakeholders to implement AI applications and analyze data to enhance student employability. The ideal candidate has a degree in a quantitative discipline, relevant experience, and proficiency in data analytics and AI technologies. This role offers an opportunity to contribute to student career preparation using innovative AI-driven methods.

Qualifications

• Degree in Computer Science, Engineering, Statistics, Mathematics, or Physics.
• Up to three years of relevant experience; fresh graduates welcome.
• Knowledge of data analytics tools and AI/ML technologies.

Responsibilities

• Collaborate with teams to design AI-powered applications.
• Evaluate vendor AI/ML solutions to meet project goals.
• Analyse data to support decisions and enhance employability services.

Skills

Data analytics

AI/ML technologies

Python

Communication skills

Analytical skills

Education

Degree in quantitative discipline

Tools

PyTorch

Scikit-learn

TensorFlow

Job description

Executive/ Senior Executive (Analytics & AI), Centre for Future-Ready Graduates

About Centre for Future-Ready Graduates

NUS Centre for Future-ready Graduates (CFG) adopts a multipronged, student-centric approach to help them make sense of their strengths, refine their skills and demonstrate their value to employers. Beginning with the end in mind, CFG has developed a four-year roadmap to help enhance the employability of our graduates through a repertoire of skills programmes and industry focused experiential opportunities. This bolsters students’ assurance to grow deeper, discover their passion and explore multiple pathways.

Serving the entire spectrum of students from undergraduates to post-graduates, CFG offers more than 15 unit-bearing courses in collaboration with academic and industry partners. We continuously innovate and enhance the quality of our offerings, as our students deserve the best tools, preparedness, and mindset to not just launch a good career, but be equipped with life skills that can help them navigate a future that is unpredictable.

About the Role

Reporting to the Head of Analytics & AI, you will work closely with both internal and external stakeholders to implement AI-powered applications and analyse data to inform strategies that enhance student employability outcomes.

Duties & Responsibilities

• Collaborate with vendors and internal teams to design and implement AI-powered applications that enhance student career preparation.
• Provide technical guidance and evaluate vendor-delivered AI/ML solutions to ensure that development on career-related platforms aligns with project goals, quality standards, and user requirements.
• Identify and recommend AI tools to enhance career services, strengthen student engagement, and improve overall user experience.
• Promote technology adoption, drive process automation, and streamline workflows, while staying current with emerging AI and data analytics trends.
• Collect, clean, and analyse data from key surveys and other sources, conducting trend analyses and presenting data-driven insights to stakeholders to support decision-making and enhance career services and employability initiatives.
• Maintain project timelines and ensure follow-ups on key deliverables, serving as a point of coordination across teams.
• Support day-to-day administrative operations, such as handling documentation, preparing records, and ensuring timely follow-up on career-related initiatives.
• Coordinate with internal and external stakeholders to facilitate processes, streamline communication, and support the smooth execution of internship and career-related activities.
• Assist in procurement processes and contract management related to AI tools, platforms, and vendor services.

About You

• A degree in quantitative discipline such as Computer Science, Computer Engineering, Statistics, Mathematics, or Physics.
• Candidates from non-quantitative programmes with strong numeracy and analytical skills may also be considered.
• Up to three years of relevant experience, fresh graduates with the required skills are welcome to apply.
• Knowledge and hands-on experience with data analytics tools and AI/ML technologies.
• Experience in data analytics and managing AI-related products will be an advantage.
• Proficiency in Python and machine learning frameworks such as PyTorch, Scikit-learn, and TensorFlow are considered a plus.
• Meticulous, well-organised, and able to thrive in a fast-paced environment.
• Strong attention to detail with a commitment to delivering high-quality work.
• Excellent communication skills, with a collaborative and service-oriented mindset.

More Information

Location: Kent Ridge Campus

Organization: Centre for Future-Ready Graduates

Department : Analytics and AI

Employee Referral Eligible: No

Job requisition ID : 31148