Lecturer (Big Data Analytics) / School of Informatics & IT

Singaporemid

AnalyticsData & AI

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

[What the role is]Lecturer (Big Data Analytics) / School of Informatics & IT [What you will be working on] Conduct full-time and part-time teaching in areas related to Data Analytics,

Technical Tools

AnalyticsData & AI

Lecturer (Big Data Analytics) / School of Informatics & IT

Responsibilities

~1 min read

→Conduct full-time and part-time teaching in areas related to Data Analytics, Artificial Intelligence (AI), Machine Learning, Data Engineering, Data Management, and foundational ICT modules.
→Develop and deliver curriculum in emerging AI technologies, including Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), and Responsible AI.
→Deliver mathematics modules (e.g. calculus, linear algebra, probability, and statistics) contextualised for IT and AI applications.
→Design, develop, review, and maintain curriculum, course materials, and assessments, and recommend enhancements to improve student learning outcomes, performance, and employability.
→Develop students’ capabilities in project-based work, including e-learning and self-directed learning.
→Guide students in AI and analytics projects involving real-world datasets, predictive analytics, machine learning, and AI-powered applications.
→Coach and mentor students to support their academic and professional development.
→Contribute to School initiatives through participation in outreach programmes, committee work, projects, and events.

Relevant qualification in Mathematics, Statistics, Information Technology, Computer Science, Business Analytics, Data Science, Artificial Intelligence, or a related discipline.
At least 7 years of relevant industry experience, preferably in areas such as Data Science, Data Engineering, Data Warehousing, Data Management, Data Analytics, Machine Learning, Agentic AI, and/or Text Analytics.
Familiarity with analytics, AI, and data platforms such as Power BI, Tableau, R, Python, SQL, KNIME, Alteryx, Snowflake, and cloud technologies (e.g. AWS, Azure).
Experience with machine learning frameworks and AI development tools, including Generative AI (Gen AI) and Agentic AI.
Demonstrated competence and strong interest in teaching Analytics, AI, Machine Learning, Data Science, and related mathematical subjects.
Ability to work both independently and collaboratively, with an interest in engaging and supporting teenagers and young adults.
Strong written and verbal communication skills.
Willingness to contribute to publicity and outreach initiatives.