The Student and Academic Services Department (SASD) is a dedicated team committed to delivering comprehensive support across the entire student life cycle—from admission and matriculation to graduation and beyond the classroom. SASD works collaboratively with schools, colleges, and autonomous institutes to ensure a seamless and enriching academic journey for all students. This position sits with the Digital Innovations Team (DIT) which is responsible for developing AI solutions, automating administrative processes, and delivering data-driven insights that improve both staff efficiency and student experience. The successful candidate will have strong hands-on capabilities to strengthen the team's ability to deliver machine learning, NLP, forecasting, recommendation, and GenAI-enabled use cases. You will work closely with the team lead, business stakeholders, and colleagues responsible for technical implementation to translate operational challenges into practical AI and data solutions. You will be expected to bring hands-on technical depth in Python, data analysis, and machine learning, while also being able to explain your approach and findings clearly to non-technical audiences.
The successful candidate would be an individual who thrive in navigating ambiguity, asking insightful questions, validating assumptions with data, and building prototypes that evolve into practical, scalable solutions.
While not required, the following experiences will be considered highly valuable:
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
Tagged as: Life Sciences
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