Data Scientist, GovTech Anti Scam Products (GASP)

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. 

What you will be working on 

GovTech's Anti Scam Products Team builds tech to detect, disrupt, and deter scammers at scale. You'll work across data infrastructure, AI/ML, and partner integrations to proactively protect citizens from fraud. As a Data Scientist, you'll own the full ML lifecycle — scoping problems with stakeholders, developing and deploying models, and operating production systems. You'll also help shape what we build next. The work spans data infrastructure, developing and deploying AI & ML to scale proactive detection, API connections to partners, as well as front-end systems for enforcement agencies. 

As a Data Scientist, you will be identifying opportunities for data exploitation through in depth conversations with business stakeholders which includes: 

• Understand the evolving problems and strategize about what data and techniques would be needed to solve it
• Develop different machine learning models, track their effectiveness, and deploy the most appropriate solution
• Build and operate production systems independently (with light engineering support) together with engineers) to serve these solutions
• Present findings, solicit feedback and prioritize refinements to the analysis in close iteration with stakeholders while managing overall project timeline
• Identify potential projects that improve the public good
• Design novel systems that work around bureaucratic constraints
• Advocate and explain these technical ideas to other government agencies
• Rapid Prototyping - Instead of spending too much time debating ideas we prefer testing them. This identifies potential problems quickly, and more importantly, conveys what is possible to others easily.
• Ownership - In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good.
• Continuous Learning - Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.

What we are looking for

• Willingness to understand the fraud/scam domain
• Effective and critical use of LLMs: able to leverage AI tools to move fast, while exercising judgment on output quality.
• Basic statistical data analytics (A/B test significance, rolling window analysis, confounder analysis)
• Experience in data wrangling, model development (e.g. classification, regression, outlier detection on tabular data, relational/graph data, embedding or a combination) and deployment (e.g. Sagemaker, TensorFlow)
• Foundational coding experience in Python (e.g. Git, package management/venv)

Preferred requirements:

• Experience in Spark
• Experience in agentic frameworks (Langgraph)
• Experience in Neo4j or any graph database
• Experience in on-device ML
• Experience in stakeholder management
• Able to understand a few products and seek synergies between them for model development or product experimentation

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