Executive (Data Science)

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal. NUS Career Portal link: https://careers.nus.edu.sg/job/Executive-%28Data-Science%29/33683-en_GB/ We regret that only shortlisted candidates will be notified. About Us Join the National University of Singapore (NUS) Finance Team – Where Innovation Meets Excellence At NUS, the Office of Finance stands as a dynamic and strategic partner, driving financial sustainability and operational excellence. Our team plays a crucial role in overseeing financial planning, optimising resources, and enabling the University’s ambition and innovation. We are at the forefront of formulating, reviewing, and analysing the University’s strategic, operating, and capital budgets. Through strong governance, robust financial processes, and cutting-edge systems, we ensure every dollar is put to its best use, fueling research, education, and transformation Why Join Us? 🚀 Make an Impact: Play a key role in shaping financial strategies that influence the University’s growth and global standing. 📈Growth & Development: We believe in continuous learning, offering mentorship, career development, and upskilling opportunities. 🤝Collaborative Culture: Join a high-performing team that values trust, innovation, and excellence. 🔹Finance Transformation: Be part of initiatives leveraging SAP S4 Hana, AI-driven analytics, and digital finance solutions to drive efficiency and future-ready finance operations. If you are passionate about finance, thrive in a dynamic environment, and want to be part of a team that drives meaningful impact, we’d love to hear from you! Join us and be a part of shaping the future of finance at NUS! Website: https://nus.edu.sg/finance Job Description We are looking for a curious and motivated junior Data Scientist to join the Projects, Applications & Data Intelligence (PADI) Team within the Office of Finance (OFN). This role is suitable for fresh graduates who are interested in building practical AI and LLM-powered solutions using Python. The work will be broad and hands-on, covering areas of automation, LLM application development, BI reporting, and experimentation with emerging AI tools. Duties & Responsibilities Develop and support analytics and AI solutions for OFN business use cases, including LLM applications, Python scripts, automation workflows, ML prototypes, and BI dashboards. Build Python-based tools and scripts for data processing, automation, API integration, reporting, and AI/LLM experimentation. Support ML and LLM solution development , including data extraction, data preparation, prompt design, model evaluation, testing, and deployment support. Analyse data from various sources to generate insights, reports, and dashboards for business decision-making. Collaborate with stakeholders and cross-functional teams to understand requirements, troubleshoot issues, and support solution adoption. Maintain good coding practices , documentation, and version control using code repositories such as Git. Keep up to date with emerging AI, LLM, data science, and automation tools , and explore practical applications to business problems. Support analytics-related project activities , including scoping, progress tracking, testing, and stakeholder communication. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Business Analytics, Engineering, Statistics, Mathematics, or a related quantitative field. Strong foundation in Python programming, with the ability to write clean, readable code for data processing, automation, API usage, and prototyping. Good understanding of SQL and basic database concepts , including querying, joining, filtering, and working with structured data. Interest in Large Language Models and generative AI , with exposure through coursework, personal projects, internships, hackathons, or self-learning. Basic understanding of data science and machine learning concepts, such as data preprocessing, model evaluation, embeddings, classification, regression, or clustering. Ability to learn new tools, frameworks, and technologies quickly , especially in the fast-changing AI landscape. Strong problem-solving mindset , with curiosity to explore new approaches and translate ideas into working prototypes. Good written and verbal communication skills , with the ability to document work clearly and explain tech…