Teaching Assistant, Data Science

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

Company description

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description

Short Description

NUS-ISS is seeking a Teaching Assistant to support the delivery of programmes in Data Science Practice.

In this role, you will work closely with lectures to prepare of teaching and assessment materials, facilitate laboratory and workshop sessions, troubleshoot technical issues, coordinate course schedules, manage learning platforms and support with capstone projects and internship activities. You will also provide administrative and operational support to ensure the smooth delivery of teaching and learning activities.

How you'll make an impact

• Assist lecturers in the development and preparation of teaching, laboratory and assessment materials.
• Prepare, test and maintain datasets, code, notebooks and technical environments required for course delivery.
• Support laboratory and workshop sessions, providing assistance to students on programming and technical queries.
• Assist with marking assignments and maintaining assessment records based on approved grading rubrics.
• Manage course materials, announcements, submissions and student records on the Learning Management System (LMS).
• Coordinate and support capstone projects and internship activities, including project allocation, progress tracking, presentations and assessments administration.
• Monitor the use of cloud platforms, software environments and AI tool credits to support teaching activities.
• Provide administrative and operational support to ensure the smooth delivery of programmes and related academic activities.
• Undertake other duties and responsibilities as assigned by the teaching team or programme management.

What Makes you Shine

• Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Information Systems, Software engineering or a related discipline. A relevant Master's degree is preferred.
• 3-5 years of relevant industry experience in Data Science, AI, Analytics, software development or a related field.
• Proficiency in Python and SQL, with experience leveraging AI Tools for solution development and productivity enhancement.
• Strong understanding of data preparation, data visualisation, machine learning concepts and commonly used data science tools and platforms.
• Ability to read, test and troubleshoot code and technical environments.
• Experience with cloud platforms, generative AI tools or Learning Management Systems is an advantage.
• Demonstrated ability to coordinate projects, manage multiple priorities and meet deadlines.
• Strong communication and interpersonal skills, with the ability to engage effectively with multiple stakeholders.
• Strong attention to detail and ability to work collaboratively with teaching and administrative teams.