Data Scientist/Engineer (Govt SI)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. in Singapore seeks a data science professional to advance AI-enabled government-facing platforms.

You will translate user needs into analytical problems, develop NLP and generative AI solutions, and build robust evaluation frameworks in collaboration with engineers and policy experts. The role emphasizes production-grade Python code, ML model evaluation, and responsible AI practices in a high-assurance environment with opportunities to work on cutting-edge NLP, AI

Qualifications

• Degree in Computer Science, Data Science, Statistics, AI, Computational Linguistics, or related quantitative discipline — or equivalent practical experience
• Demonstrated experience applying data science or machine learning to solve real-world problems, with preference for NLP, generative AI, search, or information retrieval
• Strong programming proficiency in Python, with working knowledge of SQL, data processing workflows, version control, and software development best practices
• Background in statistics, experimental design, evaluation methodology, sampling techniques, error analysis, and model validation
• Ability to write maintainable, production-ready code and collaborate with engineering teams to deploy data science solutions
• Experience with multilingual NLP, translation quality evaluation, or collaboration with linguists and language reviewers (bonus)
• Familiarity with cloud-based AI services, vector search, MLOps, production monitoring, or responsible AI frameworks (bonus)
• Prior experience developing AI products in government, regulated, or high-assurance environments (bonus)

Responsibilities

• Translate user needs into analytical and ML problems with policy advisors and engineers
• Develop evaluation frameworks and benchmark datasets for NLP, generative AI, and ML
• Design experiments to assess model quality, latency, and cost
• Explore emerging models and technologies with evidence-based recommendations
• Perform error analysis and identify performance gaps across use cases
• Establish automated and human-evaluation methodologies for AI systems
• Collaborate with engineers to integrate improvements and monitor production models
• Ensure reproducibility and adherence to responsible AI and data privacy standards

Skills

NLP

Generative AI

Python

SQL

Data processing workflows

Version control

MLOps

Cloud services

Multilingual NLP

Government / high-assurance domain

Education

Degree in Computer Science, Data Science, Statistics, AI, Computational Linguistics or related field

Tools

PyTorch

TensorFlow

Git

Job description

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