Tech – Data Scientist: AI Products and Data Science for MDDI

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Role

Data Scientist

Division

Economic & National Development

Level

Undergraduate

Internship Duration

6 months

Project Description

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The intern will join a product and AI team working on the design, evaluation, and continuous improvement of AI-powered digital services used across the Singapore Government. A primary focus area is SG Translate (SGT) 2.0 Engine, a Whole-of-Government multilingual AI platform that helps agencies translate content accurately and efficiently across Singapore's official languages. The intern may contribute to projects involving translation quality evaluation, experimentation, AI-assisted workflows, user analytics, and operational insights. In addition, the intern will have opportunities to contribute to other emerging AI initiatives across MDDI, including the application of large language models (LLMs), natural language processing (NLP), data science, analytics, AI evaluation, knowledge management, digital content workflows, and other AI-enabled public sector use cases as opportunities arise. Working alongside product managers, data scientists, engineers, designers, and policy stakeholders, the intern will gain hands-on experience applying modern AI and data science techniques to real-world government challenges while helping shape the next generation of public sector digital services.

Learning Outcomes

Applied AI and Data Science: Gain practical experience applying machine learning, statistical analysis, and AI techniques to solve real-world public sector problems. Large Language Models and Generative AI: Learn how LLMs and other generative AI technologies are evaluated, deployed, and governed in production environments. Product Analytics and Experimentation: Develop skills in designing experiments, measuring outcomes, analysing user behaviour, and generating actionable product insights. AI Evaluation and Responsible AI: Understand techniques for evaluating AI systems, including quality benchmarking, performance measurement, model limitations, and governance considerations. Cross-Functional Product Delivery: Collaborate with product managers, engineers, designers, and government stakeholders to deliver impactful AI-enabled services at scale.

Prerequisites

- Pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Operations Research, Computational Science, or a related discipline. - Proficient in Python and familiar with common data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, or equivalent. - Strong analytical thinking and problem-solving abilities, with the ability to work independently on ambiguous and open-ended problems. - Good communication skills and the ability to explain technical findings to both technical and non-technical stakeholders. - Familiarity with machine learning, large language models (LLMs), natural language processing (NLP), cloud technologies, MLOps, or software engineering practices will be advantageous but is not required.