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Data Scientist, Responsible AI (AI Practice) Job Opening In Singapore, Singapore – Now Hiring Careers@Gov


Job description

[What the role is]

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]

The Responsible AI team, part of GovTech's Artificial Intelligence Tech Practice, develops technical capabilities in defining, measuring, and mitigating various Responsible AI issues.

We
aim to be at the forefront of the AI safety and responsible AI space through learning, experimentation, and applied research.

Some of our past open-source work include RabakBench, KnowOrNot, MinorBench, and LionGuard, and you can find more details in our Responsible AI playbook (), huggingface page () or the team blog ().

What we do
Data scientists in the Responsible AI team will focus on experimenting with the latest developments in the Responsible AI space to raise the level of AI safety, robustness and fairness in government AI systems.

This includes designing and conducting AI testing and
evaluations for LLMs and agentic AI, finetuning models for alignment and red-teaming, and developing accurate and efficient guardrails.

To do this well, we collaborate with many technical partners, including the private sector, academic institutions, and international players.

We also aim to share our expertise with the
wider community, so you will have the chance to contribute to open-source research, present our work and show how we are leading the way in Responsible AI.

Additionally, we work closely
with policymakers to provide technical guidance on AI governance and policies.

If you’re curious about how Responsible AI, practical engineering, and real-world policy come together and would like to contribute your ideas and skills in this space, you’ll find plenty of opportunities to learn, build, and make an impact with us.

[What we are looking for]

  • Demonstrated experience with end-to-end data science projects, from scoping, development, deployment, and monitoring

  • Strong technical understanding of LLMs, especially how they work, how to do prompt engineering effectively, and how to build apps with them

  • Good understanding of key AI safety, robustness and fairness concepts, especially in how to operationalise and apply them to AI systems

  • Competent in Python programming, with some familiarity of cloud deployments for ML models and LLMs

  • Strong interest in AI safety or responsible AI, especially given the need to read up independently on these areas and continuously explore and experiment

  • Self-motivated, thinks proactively and creatively about how to solve challenges

  • Desire to build tech for the public good


We also have a strong preference for any applicant with informal or formal experience with any of the work below:

  • Conducting LLM or agentic AI safety testing, including jailbreaking or prompt injections

  • Developing guardrails for LLMs or using equivalent tools (eg NeMo, LLM-Guard)

  • Developing fairness assessments for AI systems


GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.

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.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Careers@Gov adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Scientist, Responsible AI (AI Practice) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist, Responsible AI (AI Practice) typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist, Responsible AI (AI Practice) Job Success

Careers@Gov interview tips for Data Scientist, Responsible AI (AI Practice)

Here are some tips to help you prepare for and ace your Data Scientist, Responsible AI (AI Practice) job interview:

Before the Interview:

Research: Learn about the Careers@Gov's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Final Thought:

To prepare for your Data Scientist, Responsible AI (AI Practice) interview at Careers@Gov, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Careers@Gov's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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