DIGIWORLD TECHNOLOGIES PTE. LTD. is hiring for a System Analyst internship — a 12-month, on-site Data Science role based in UBI CRESCENT, Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Functional Test Cases, Data Modelling, Regulatory Compliance, Data Pipeline, and Data Warehouse Systems are a strong fit.
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About this role
Job Objective: Analyze and translate business, regulatory, and analytics requirements into scalable data and solution designs. Drive effective stakeholder communication, effort estimation, and validation processes, while enabling data architectures and curation strategies that support reporting, analytics, and AI/NLP-driven use cases. Responsibilities: • Perform detailed effort estimation for projects and change requests. • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner • Review and approve test strategies, functional test cases, and data validation approaches. • Translate business and compliance requirements into NLP enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents • Translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases Requirements: • Experience in analyzing business and regulatory requirements and translate them into scalable solution designs. • Ability to review and approve test strategies, functional test cases, and data validation approaches. • Ability to design data architectures supporting NLP and AI driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. • Strong understanding of data architecture principles and data modelling techniques for designing scalable and efficient data solutions. • Experience in supporting AI and NLP use cases through data preparation, integration, and optimisation of data pipelines. • Proficiency in testing, data validation, and quality assurance processes to ensure data accuracy, consistency, and reliability. • Excellent stakeholder management and communication skills, with the ability to gather requirements and translate business needs into technical solutions.
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