The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg.

The AI Programme at Singapore’s Ministry of Education (MOE) develops AI products and shared capabilities to support teaching, learning and the work of schools. Our teams bring together product management, engineering, design and data science to identify useful applications, test them with users and improve them through evidence.

Our work spans personalised learning support, feedback and assessment, tools that help teachers plan and carry out their work, and applications that improve school operations. We also develop shared capabilities for AI evaluation, observability and governance, helping teams assess quality, understand failures and build dependable products.

We are looking for a hands-on Senior Data Scientist to build, evaluate and improve these applications. You will work closely with product teams and education-domain colleagues to translate user needs into practical AI solutions, improve their behaviour and establish whether they deliver meaningful benefits in real settings.

This is a senior individual-contributor role with substantial hands-on delivery. You will own selected workstreams, contribute reusable methods and tools, and provide technical guidance and mentoring to colleagues.

What you will be working on

Work with product managers, engineers, designers and domain experts to understand user needs, identify suitable AI approaches, and define measurable outcomes and quality expectations
Build and iterate on AI prototypes and workflows, using machine learning, large language models, retrieval and tool use where appropriate. Assess trade-offs across quality, cost, latency and practical implementation
Improve AI behaviour through prompt development, structured experimentation and error analysis. Identify whether failures are best addressed through data, prompts, retrieval, model choice, workflow design or human review
Design evaluations that reflect how products are used. Develop representative datasets, quality rubrics and test cases with domain experts, including challenging scenarios and important failure modes
Combine human evaluation with automated methods, checking that automated scores align with human judgement and reveal meaningful differences between approaches
Work with engineers to build reusable evaluation tools, versioned datasets and regression checks, so teams can detect changes in quality as models, prompts and product features evolve
Use product data, user feedback and targeted experiments to assess usefulness and outcomes. Distinguish improvements in model performance from improvements in the experience and work of users
Translate findings into clear recommendations on product priorities, release readiness and further improvements. Communicate limitations, risks and trade-offs to technical and non-technical stakeholders
Apply appropriate data-protection and responsible-AI practices, working with relevant specialists to address privacy, safety and the needs of education users
Mentor colleagues, review evaluation approaches and analyses, and share practical methods that other teams can reuse

What we are looking for

Substantial experience in applied data science or machine learning, with a track record of independently delivering work that informed or improved a product or operational service
Hands-on experience building and evaluating AI applications, including LLM-based systems, and a practical understanding of their capabilities, limitations and common failure modes
Strong Python programming skills and working proficiency in SQL. Experience developing reusable, tested code and reproducible analyses using version control and code review
Sound foundations in statistics and experimental design, including sampling, metric selection, uncertainty and assessing whether an observed improvement is meaningful
Experience translating product goals and subjective quality expectations into measurable criteria, useful evaluations and actionable findings
Ability to work through ambiguous problems, exercise sound technical judgement and collaborate effectively with product, engineering and domain colleagues
Clear communication skills and the ability to provide constructive technical guidance and mentoring while remaining hands-on

Experience in one or more of the following would be an advantage

Retrieval-augmented generation, AI agents, tool-use workflows or multimodal AI applications
Automated evaluation pipelines, production monitoring, AI safety or robustness testing
Education products, human–AI interaction or evaluating systems where quality depends on context and professional judgement
Product experimentation and measuring improvements in user outcomes or productivity
Taking AI prototypes into practical use in cloud environments

This role will start off on a 2 year direct contract.

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programmes.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.
Stay connected with us on social media at go.gov.sg/ConnectWithGovTech