Data Scientist/Engineer (Govt SI)
About the Role
Our client is a Singapore-based government-linked organisation focused on advancing digital development and driving effective, trusted public communications through technology. They are building and enhancing a suite of AI-enabled products and platforms designed to make government services more accessible, reliable, and impactful. This role offers a meaningful opportunity to apply rigorous data science, natural language processing (NLP), and generative AI practices to real-world challenges at scale.
Key Responsibilities
Engage with policy advisors, communications officers, product owners, engineers, and domain specialists to translate user needs into well-defined analytical and
machine learning
problems
Develop and maintain robust evaluation frameworks and benchmark datasets for NLP, generative AI, and other machine learning use cases
Design and execute structured experiments to assess and improve model quality, accuracy, consistency, reliability, latency, and cost
Explore and evaluate emerging models, techniques, and technologies, providing evidence-based recommendations aligned with operational and user requirements
Conduct systematic error analysis, identify performance gaps across use cases and user segments, and help prioritise improvements in collaboration with the team
Establish appropriate automated and human-evaluation methodologies, accounting for the limitations and risks of individual metrics and AI-assisted evaluation
Partner with engineers to integrate validated improvements, define quality assurance checkpoints, and monitor model performance in production
Ensure that data pipelines, experiments, and model decisions are reproducible, well-documented, and aligned with responsible AI, data privacy, and security standards
Requirements
Degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics, or a related quantitative discipline — or equivalent practical experience
Demonstrated experience applying data science or machine learning to solve real-world problems, with preference for work involving
NLP, generative AI , search, or information retrieval
Strong programming proficiency in Python, along with working knowledge of SQL, data processing workflows, version control, and software development best practices
Sound grounding in statistics, experimental design, evaluation methodology, sampling techniques, error analysis, and model validation
Ability to write maintainable, production-ready code and collaborate effectively with engineering teams to deploy data science solutions
Experience with multilingual NLP, translation quality evaluation, or collaboration with linguists and language reviewers (is a bonus)
Familiarity with cloud-based AI services, vector search, MLOps, production monitoring, or responsible AI frameworks (is a bonus)
Prior experience developing AI products in government, regulated, or other high-assurance environments (is a bonus)
Website: www.dadaconsultants.com
EA License No.: 18S9037
Business Registration Number: 201735941W
Key Responsibilities
Engage with policy advisors, communications officers, product owners, engineers, and domain specialists to translate user needs into well-defined analytical and
machine learning
problems
Develop and maintain robust evaluation frameworks and benchmark datasets for NLP, generative AI, and other machine learning use cases
Design and execute structured experiments to assess and improve model quality, accuracy, consistency, reliability, latency, and cost
Explore and evaluate emerging models, techniques, and technologies, providing evidence-based recommendations aligned with operational and user requirements
Conduct systematic error analysis, identify performance gaps across use cases and user segments, and help prioritise improvements in collaboration with the team
Establish appropriate automated and human-evaluation methodologies, accounting for the limitations and risks of individual metrics and AI-assisted evaluation
Partner with engineers to integrate validated improvements, define quality assurance checkpoints, and monitor model performance in production
Ensure that data pipelines, experiments, and model decisions are reproducible, well-documented, and aligned with responsible AI, data privacy, and security standards
Requirements
Degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics, or a related quantitative discipline — or equivalent practical experience
Demonstrated experience applying data science or machine learning to solve real-world problems, with preference for work involving
NLP, generative AI , search, or information retrieval
Strong programming proficiency in Python, along with working knowledge of SQL, data processing workflows, version control, and software development best practices
Sound grounding in statistics, experimental design, evaluation methodology, sampling techniques, error analysis, and model validation
Ability to write maintainable, production-ready code and collaborate effectively with engineering teams to deploy data science solutions
Experience with multilingual NLP, translation quality evaluation, or collaboration with linguists and language reviewers (is a bonus)
Familiarity with cloud-based AI services, vector search, MLOps, production monitoring, or responsible AI frameworks (is a bonus)
Prior experience developing AI products in government, regulated, or other high-assurance environments (is a bonus)
Website: www.dadaconsultants.com
EA License No.: 18S9037
Business Registration Number: 201735941W