Data Scientist jobs in Singapore
Data Scientist (AI Lab) (1-year Contract)
PRUDENTIAL ASSURANCE COMPANY SINGAPORE (PTE) LIMITED
Applied Data Scientist - Applied AI
TikTok Pte. Ltd.
Data Scientist (Cloud data)
User Experience Researchers Pte Ltd (Singapore)
Data Scientist (Resource Allocation/Capacity Planning) - Data Cycling Centre
TikTok Pte. Ltd.
Principal Data Analyst/Data Scientist [DSAD]
Workforce Singapore
Discover more opportunities than anywhere else. Find more jobs nowPrincipal Data Analyst/Data Scientist [DSAD]
WORKFORCE SINGAPORE AGENCY
Connect with headhunters to apply for similar jobsTikTok Shop - Data Scientist, Global Moderation
TIKTOK PTE. LTD.
GRIT Traineeship - Data Scientist
INFINEON TECHNOLOGIES ASIA PACIFIC PTE LTD
AI/ML Data Scientist - DeepSeek/OpenAI/Claude/Anthropic (PhD Required)
Pixalate, Inc
Data Scientist – Singapore – Employment Pass Sponsorship
Mashreq Bank
Principal Data Scientist
MICROSOFT OPERATIONS PTE LTD
VP, Data Scientist, Investment Insights Group
GIC Private Limited
Lead Data Scientist/Machine Learning Engineer (Singapore based)
Agoda
Data Scientist (AI Lab) (1-year Contract)
Job summary
A leading insurance company in Singapore is seeking a Data Scientist to lead AI initiatives in the health domain. This pivotal role involves developing data science solutions and championing ethical AI practices. Ideal candidates will have over 8 years of experience, strong programming skills in Python and SQL, and cloud familiarity, especially with Azure or Google Cloud. The role requires proven leadership abilities and exceptional communication skills.
Qualifications
- 8+ years of experience with a Bachelor's or 5+ years with a Master's in AI/Data Science.
- Proven leadership experience in managing teams of data scientists and AI engineers.
- Exceptional communication skills for diverse audiences.
Responsibilities
- Build, test, and maintain robust AI models.
- Embed ethical AI in model development.
- Lead development of AI solutions in health domain.
Skills
Education
Tools
We are seeking a visionary Data Scientist to spearhead our AI and advanced analytics initiatives within the health domain. This role is ideal for a seasoned professional who thrives at the intersection of cutting‑edge technology, ethical AI, and strategic business impact. You will lead the development and deployment of high‑impact data science solutions, drive innovation in Generative and Agentic AI, and champion responsible AI practices across the organization.
- Model Development & Deployment: Build, test, deliver, and maintain robust data science and AI models that solve complex business challenges.
- Responsible AI Leadership: Embed the highest standards of AI ethics and responsible AI in all phases of model development and deployment.
- Business Alignment: Influence and translate strategic business objectives into actionable data science requirements.
- Health Pillar Support: Drive ideation and delivery of advanced analytics and AI solutions within the health vertical especially on AI based conversational chatbots.
- Conversational AI Ownership: Lead the design, development, and optimization of intelligent chatbots and conversational agents.
- Innovation & Thought Leadership: Continuously explore and implement best‑in‑class solutions in Generative and Agentic AI.
- Team Leadership: Mentor and work manage a high‑performing team of data scientists and AI engineers, fostering a culture of collaboration and excellence.
Education:
- Bachelor's or Master’s in Data Science, Computer Science, AI, or related quantitative field
Experience:
- 8+ years (Bachelor's) or 5+ years post‑Master's in AI/Data Science
Programming:
- Expert in Python, SQL, LangChain, Hugging Face
Use‑Case Experience:
- Preferably with conversational chatbots utilizing LLMs for intent detection, Geolocation Analytics, Churn Modelling, Cluster Analysis, Recommendation Engine
Cloud Platforms:
- Hands‑on experience with Azure or Google Cloud
MLOps/AIOps:
- Experience in managing ML artifacts and LLM cost optimisation is a strong plus
Leadership:
- Proven track record managing delivery teams of data scientists and AI engineers
Communication:
- Exceptional ability to communicate across technical and non‑technical audiences
Collaboration:
- Strong team player with cross‑functional and cross‑geography collaboration skills
Problem Solving:
- Demonstrated critical thinking and analytical capabilities
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.