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GovTech Singapore

Staff/ Senior Data Scientist, Multimodal AI, AI Practice

GovTech Singapore is hiring a Staff/ Senior Data Scientist, Multimodal AI, AI Practice in Singapore, Singapore. Level rates it ; you can apply on GovTech Singapore.

Level's read on this job

  • On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions OpenAI, Claude and Cursor among its tools and skills.
  • Level classes it as a lead role.
  • GovTech Singapore has 257 other open roles on Level.

AI in this role

openaiclaudecursorclaude-codecodex
fine-tuningcomputer-vision

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 

AI Practice is the AI R&D and capability development arm of GovTech's Government Technology Office (GTO). As a Senior Data Scientist (Multimodal AI) on the Multimodal AI Squad, your work will span two broad areas:
 
Frontier Exploration and Evaluation
Systematically scanning, experimenting with, and interpreting the latest AI developments across vision, video, audio, and document modalities. This includes producing fast-response technical explorations when meaningful new capabilities emerge, as well as deeper assessments of maturing areas. The emphasis is on getting your hands dirty. This is empirical work, not editorial.
 
Agency Engagement and Transformation
Translating frontier AI capabilities into real outcomes for government agencies. The squad builds AI capabilities through rapid experimentation and works with agencies to identify and test promising capabilities against their own data and use cases, with viable solutions graduating onward for productisation. You will support the journey from discovery through experimentation and prototyping, often as the squad's technical point of contact with an agency.
 
Day to day, you can expect to:

  • Experiment with state-of-the-art multimodal models (VLMs, MLLMs, diffusion models, speech and audio models) and evaluate their applicability to government use cases and strategy
  • Design, build, and run evaluations and benchmarks for AI models on real-world Singapore government tasks — including constructing the underlying datasets, defining metrics and scoring, and standing behind results that inform agency and vendor decisions
  • Build functional prototypes and proof-of-concept solutions for agency engagements spanning smart city video analytics, document intelligence, generative media, and content authentication
  • Stay current with the latest developments in applied AI and assess what translates from research settings to practical government applications
  • Support the development of our multimodal AI showcase and prototyping platforms, and advise on deployment considerations such as on-premise vs cloud, hardware, and cost
  • Produce technical write-ups and contribute to knowledge artefacts such as handbooks, reports, and evaluation findings

What we are looking for

We are looking for a Lead/ Senior Data Scientist who sits at the intersection of exploration and applied AI. Someone who can pick up a new model or technique, understand how it works, and turn it into something users can actually try — and who can then show, credibly, how well it works.

  • Degree in Computer Science, Data Science, AI/ML, Engineering, or a related field
  • 5+ years applied ML/data science, with meaningful depth in at least one non-text modality — computer vision, video understanding, audio/speech, or generative image/video
  • Solid understanding of machine learning fundamentals, including model training, evaluation methodology, and experiment design — comfort with sampling, uncertainty, and metric selection is a strong plus
  • Foundational knowledge of computer vision concepts and/or hands-on experience working with image, video, or audio data
  • Exposure to multimodal AI systems, vision-language models, and generative AI — including fine-tuning (e.g. LoRA) and synthetic data generation
  • Practical sense for running models: GPU/VRAM constraints, open-weight vs commercial API trade-offs, and the cost implications of each
  • Working knowledge of cloud solution architecture on GCP and/or AWS — able to stand up and structure prototypes using managed compute, storage, and model-serving services
  • Comfortable using AI-assisted development tools (e.g., Claude Code, Cursor, OpenAI Codex) to accelerate your work
  • Treats AI as a collaborator, using it to learn new libraries, debug, and move faster — and re-tests frontier model capability first-hand rather than relying on secondhand claims
  • Curious and outcome-oriented. You enjoy going deep on a problem but ultimately care about whether it works in practice
  • Comfortable with ambiguity. Government AI work means scoping problems that aren't always well-defined, running several workstreams at once, and accepting that not every prototype ships
  • Comfortable leading a small team of junior data scientists — setting technical direction, breaking down problems, giving feedback, and growing capability alongside your own delivery.
  • Strong communicator. You can explain what you built and why it matters to both technical peers and non-technical agency stakeholders — including turning a metric into a recommendation someone can act on

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 

How we rate this

Staff/ Senior Data Scientist, Multimodal AI, AI Practice at GovTech Singapore rates 89 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningComputer visionOpenAIClaudeCursorClaude CodeCodex

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  3. What are the limits of OpenAI that you've run into, and how did you work around them?
  4. What's a project where you used Claude hands-on?
  5. Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Fine-tuning, Computer vision, OpenAI, Claude, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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