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Lecturer - Big Data Analytics

sggovterp · Singapore

New
Senior 🇬🇧 English
Power BI Tableau Python SQL KNIME Alteryx Snowflake AWS Azure Machine Learning Generative AI

Job description

About the role

The School of Informatics & IT is recruiting a Lecturer in Big Data Analytics. The role covers full-time and part-time teaching in data analytics, artificial intelligence, machine learning, data engineering and management, as well as foundational ICT modules.

Key responsibilities

  • Develop and deliver curriculum in emerging AI technologies, including Generative AI, Large Language Models, Agentic AI, Retrieval-Augmented Generation and Responsible AI.
  • Deliver mathematics modules (calculus, linear algebra, probability and statistics) contextualised for IT and AI applications.
  • Design, develop, review and maintain curriculum, course materials and assessments, and recommend improvements for student learning and employability.
  • Develop students' project-based work, including e-learning and self-directed learning, and guide them in AI and analytics projects using real-world datasets.
  • Coach and mentor students, and take part in school outreach programmes, committees, projects and events.

Required profile

  • 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 data science, data engineering, data warehousing, data management, data analytics, machine learning, agentic AI or text analytics.
  • Demonstrated competence and strong interest in teaching analytics, AI, machine learning, data science and related mathematical subjects.
  • Ability to work independently and collaboratively, with an interest in engaging teenagers and young adults.
  • Strong written and verbal communication skills and willingness to contribute to publicity and outreach initiatives.

Required skills

  • Familiarity with analytics, AI and data platforms such as Power BI, Tableau, R, Python, SQL, KNIME, Alteryx, Snowflake and cloud technologies (AWS, Azure).
  • Experience with machine learning frameworks and AI development tools, including Generative AI and Agentic AI.

Questions fréquentes

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Source : ats:workday

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Published 6 hours ago

Expires 1 month from now

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sggovterp

Singapore