Editorial summary

The company is seeking an urgent Data Scientist specializing in AI-enabled products, offering a salary of 9,000. The role involves collaborating with cross-functional teams to develop and evaluate machine learning models, particularly in natural language and generative AI applications. Candidates should have experience in designing experiments, maintaining datasets, and translating user needs into analytical solutions. The position offers a five-day work week, standard office hours, competitive benefits, and opportunities for career advancement in a CBD location.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 22682 first appeared in Job-Q.com on 30 Jul 2026]

Highlights:

• 5 days work week, normal office working hour
• Great remuneration & benefits
• Great career progression
• Location: CBD

Key Responsibilities:

• Work with policy and communications officers, product owners, engineers, domain experts and subject-matter specialists to understand user needs and translate them into clear analytical and machine-learning problems.
• Develop and maintain robust evaluation frameworks and datasets for natural language, generative AI and other machine-learning use cases.
• Design and conduct experiments to assess and improve model quality, accuracy, consistency, reliability, latency and cost.
• Explore and evaluate appropriate models, techniques and emerging technologies, recommending solutions based on evidence, user needs and operational considerations.
• Perform systematic error analysis, identify performance gaps across use cases and user segments, and prioritise improvements with the team.
• Establish suitable automated and human-evaluation approaches, recognising the limitations and risks of individual metrics and AI-assisted evaluation.
• Partner with engineers to integrate validated improvements, define quality checks and monitor performance in production.
• Ensure that data, experiments and model decisions are reproducible, well documented and aligned with responsible AI, privacy and security requirements.
• Communicate findings, trade-offs and recommendations clearly to technical and non-technical stakeholders across organization and the wider public service.

Requirements:

• A degree in Computer Science, Data Science, Statistics, Artificial Intelligence, Computational Linguistics or a related quantitative discipline, or equivalent practical experience.
• With 4 years of experience in Data Scientist / Data Engineer in AI-enabled products are welcome.
• Demonstrated experience using data science or machine learning to solve real-world problems, preferably involving natural language processing, generative AI, search or information retrieval.
• Experience with multilingual NLP, translation quality evaluation, or working with linguists and language reviewers.
• Experience developing AI-enabled products in government, communications, regulated or other high-assurance environments.
• Strong programming skills in Python and working knowledge of SQL, data processing, version control and software-development practices.
• Sound understanding of statistics, experimental design, evaluation methodology, sampling, error analysis and model validation.
• Experience working with unstructured text or other complex data types, and evaluating machine-learning or generative AI systems beyond a single aggregate metric.
• Familiarity with modern NLP and AI concepts such as embeddings, language models, prompt design and model evaluation.
• Ability to write maintainable code and work with engineers to bring data-science solutions into production.
• Strong analytical, problem-solving and communication skills, with the ability to explain technical findings and trade-offs clearly to diverse audiences.
• A proactive and collaborative mindset, willingness to learn, and motivation to improve public services and communications through technology.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to with provided your latest resume in MS WORD format with below information.

• Last drawn salary
• Expected salary
• Notice period
• Reason for leaving

We regret only shortlisted candidates will be notified.

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