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Lead Data Scientist (Computer Vision), AI Prac 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]

As the Lead Data Scientist/Data Science Manager for Computer Vision, you will lead a team of AI Engineers and Data Scientists focused on AI experimentation and capability development covering modalities such as videos and images as well as extending into the audio space.

These key AI capabilities help in enhancing the understanding of diverse information domains.

You will set the strategic direction, foster innovation, and build the foundation for cutting-edge AI solutions while collaborating with stakeholders to ensure alignment with organisational needs.

  • Lead and mentor a team of AI Engineers and Data Scientists, creating a collaborative environment that fosters innovation and professional growth.

  • Set clear objectives for the team, ensuring alignment with organisational goals and strategic priorities.

  • Lead the uplifting of computer vision as well as multimodal AI capabilities across the whole of government through the development of new AI capabilities, definition of best practices and adoption of new AI capabilities by agencies.

  • Define and execute a strategic roadmap for AI capability building, emphasising computer vision and multimodal AI.

  • Guide the team in conducting advanced AI experiments, exploring innovative approaches to address public sector challenges.

  • Drive the adoption of emerging AI techniques, staying abreast of advancements such as Vision Language Models (VLMs) and Large Multimodal Models (LMMs).

  • Engage with cross-functional teams and stakeholders to identify needs and align AI capabilities with organisational and public sector objectives.

  • Build partnerships with academia, industry, and other government agencies to foster a vibrant ecosystem for AI capability building.

  • Provide high-level technical direction and oversight, ensuring the team’s work meets quality standards and is grounded in best practices.

  • Advocate for the adoption and integration of AI capabilities by showcasing their potential impact through prototypes and demonstrations.

[What we are looking for]

  • Degree in Computer Science, Engineering, or a related field.

  • At least 8 years of experience in AI/ML preferably in the field of Computer Vision, including 2+ years of proven leadership in managing multidisciplinary technical teams.

  • Deep understanding of computer vision techniques, including object detection, object tracking, image segmentation, and image understanding.

  • Familiarity with multimodal AI systems that integrate data from sources like images, video, and audio.

  • Proficiency in frameworks such as PyTorch, TensorFlow, and computer vision libraries like OpenCV.

  • Demonstrated proficiency in working with state-of-the-art models, including Large Multimodal Models (e.g., CLIP, GPT-4o, Qwen-VL, LLaVA, InternVL).

  • Strong leadership skills with the ability to inspire and manage a diverse team of engineers and data scientists.

  • Excellent communication skills to translate complex AI concepts into actionable insights for non-technical stakeholders.

  • Demonstrated ability to craft and execute strategies for advancing AI capabilities.

  • Awareness of ethical and governance considerations related to deploying advanced AI capabilities in the public sector.

  • Strong ecosystem awareness, including collaboration with research institutes and MNCs, to foster innovation and align with industry best practices.

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 Lead Data Scientist (Computer Vision), AI Prac 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.

What Are the Key Qualifications for Lead Data Scientist (Computer Vision), AI Prac?

Key qualifications for Lead Data Scientist (Computer Vision), AI Prac 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 Lead Data Scientist (Computer Vision), AI Prac Job Success

Careers@Gov interview tips for Lead Data Scientist (Computer Vision), AI Prac

Here are some tips to help you prepare for and ace your Lead Data Scientist (Computer Vision), AI Prac 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.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Scientist (Computer Vision), AI Prac 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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