ARTC - Digital Supply Chain Traineeship [GRIT@Gov]

8 hours ago

Singapore A*STAR Research Full time

ARTC - Digital Supply Chain Traineeship ( )The trainee will support the development and deployment of data analytics solutions for supply chain optimization. The role involves working with large datasets, applying data engineering and analytics techniques, and contributing to AI/ML-based decision support systems. Collect, clean, and preprocess structured and unstructured supply chain data. Develop data pipelines and dashboards for real-time insights. Assist in building predictive models to support demand, supply, and procurement planning. Work with senior engineers and domain experts to validate data-driven solutions. What we are looking for Job Requirements Fresh graduates with a degree in Data Science, Industrial Engineering, Computer Science, or related fields. Strong analytical and problem‐solving skills. Familiarity with AI/ML concepts and data engineering frameworks. Prior internship or project experience in data analytics is preferred but not mandatory. Key Competencies to be developed Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands‐on experience in machine learning model development and deployment. Knowledge of supply chain analytics and decision support frameworks. Skills in big data handling, ETL processes, and cloud‐based platforms. About your application process This job is closing on 24 Nov 2025. If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and apply for other roles within A*STAR or the wider Public Service. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified. #J-18808-Ljbffr

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