Senior Executive (Data Analytics) - Geylang
Company description:
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
Job description:
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
LinkedIn: https://www.linkedin.com/company/nus-office-of-finance/
Job Description
As Data Scientist within the Projects, Applications & Data Intelligence (PADI) Team, you will collaborate with teams across the Office of Finance (OFN) to design, develop, and deliver data-driven solutions that support key business areas. Reporting to Manager (Data Analytics), the incumbent will be working on extracting, transforming and analysing data from various sources to develop AI/machine learning models and dashboards, identifying trends, and communicating findings to stakeholders.
Duties & Responsibilities:
- Design, develop, and integrate analytics solutions based on OFN business use cases, including AI/ML models, Python scripts, BI dashboards, and RPA workflows.
- Lead end-to-end machine learning development, from data extraction and transformation to model training, validation, and deployment.
- Extract and analyse data from various sources to create actionable reports and dashboards that support business decisions.
- Collaborate with cross-functional teams and stakeholders to understand requirements, troubleshoot issues, and ensure solution adoption.
- Maintain high standards of code quality, documentation, and version control using code repositories.
- Contribute to internal knowledge-sharing through technical sessions, workshops, and community engagement.
- Support project management activities for analytics-related initiatives, including scoping, scheduling, and stakeholder communication.
- Master's degree or bachelor's degree in Computer Science, Data Science, Business Analytics, Artificial Intelligence, Engineering, Statistics, Mathematics, or related fields.
- 1-2 years of experience in Data Science, Data Analytics, or a related field. Fresh graduates with strong portfolios are welcome to apply.
- Experience with BI tools such as Power BI.
- Strong written and verbal communication skills.
Preferred:
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Experience with Large Language Models (LLMs) and their evaluation.
- Familiarity with Microsoft Fabric.
- Understanding of MLOps concepts and best practice
This position is only open to Singaporeans and Permanent Residents.
More Information
Location: Kent Ridge CampusOrganization: Office of Finance
Department : Projects, Applications and Data Intelligence
Employee Referral Eligible: Yes
Job requisition ID : 29642