Data Science Teaching Assistant: Labs, Projects & Tools

National University of Singapore; Singapore; On-site; SGD 33,000 - 60,000; Full time

Job summary

The National University of Singapore is seeking a Teaching Assistant to support the delivery of Data Science Practice programmes. You will work with lecturers to prepare teaching and assessment materials, facilitate labs, troubleshoot issues, and coordinate course schedules.

The role involves managing datasets, notebooks, and cloud environments, assisting with assignments, and supporting capstone projects and internships. Strong collaboration and communication with teaching teams are essential.

Qualifications

• Bachelor's degree in a data-related field; Master’s preferred.
• 3–5 years in data science, AI, analytics or software development.

Responsibilities

• Assist lecturers in developing teaching, laboratory and assessment materials.
• Prepare, test and maintain datasets, code, notebooks and environments for course delivery.
• Support labs and workshops, helping students with programming queries.
• Assist with marking and recording assessments using rubrics.
• Manage course materials, announcements, submissions, and student records on LMS.
• Coordinate capstone projects and internship activities, including progress and assessments.
• Monitor use of cloud platforms and AI tool credits for teaching activities.
• Provide administrative support to ensure smooth delivery of programmes.

Skills

Python

SQL

Data Visualization

Communication

AI tools

Cloud platforms

Education

Bachelor's degree in Data Science, Computer Science, AI, Statistics or related field

Master's degree preferred

Tools

Jupyter

Learning Management System (LMS)

Cloud platforms

Job description

The National University of Singapore is seeking a Teaching Assistant to support the delivery of Data Science Practice programmes. You will work with lecturers to prepare teaching and assessment materials, facilitate labs, troubleshoot issues, and coordinate course schedules.

The role involves managing datasets, notebooks, and cloud environments, assisting with assignments, and supporting capstone projects and internships. Strong collaboration and communication with teaching teams are essential.