Senior Analyst, Data Science

Singlife is aleading homegrown financial services company, offering consumers a better wayto financial freedom. Through innovative, technology-enabled solutions and awide range of products and services, Singlife provides consumers control overtheir financial wellbeing at every stage of their lives.

In addition to acomprehensive suite of insurance plans, employee benefits, partnerships withfinancial adviser channels and bancassurance, Singlife offers investment andadvisory solutions through its GROW with Singlife platform. It also offers theSinglife Account, a mobile-first insurance savings plan.

Singlife is theexclusive insurance provider for the Ministry of Defence, Ministry of HomeAffairs and Public Officers Group Insurance Scheme. Singlife is also anofficial signatory of the United Nations Principles for Sustainable Insuranceand the United Nations-supported Principles for Responsible Investment,affirming its commitment to finding a better way to sustainability.

The merger of AvivaSingapore and Singlife was announced in September 2020 and created one of thelargest homegrown financial services companies in Singapore in a deal valued atS$3.2 billion. It was the largest insurance deal in Singapore at the time.

Singlife wassubsequently acquired by Sumitomo Life in March 2024, one of Japan's leadinglife insurers, which valued Singlife at S$4.6 billion, making the transactionone of the largest insurance deals in Southeast Asia.

We are seeking an AI Data Scientist to design, develop, operationalize and evaluate machine learning and generative AI solutions that drive business value and innovation. The ideal candidate combines strong software engineering skills with a deep understanding of data science, model deployment, and modern AI frameworks.

The AI Data Scientist willcollaborate with data scientists, and business stakeholders to transform AI models into scalable, production-ready generative AI applications and services.

Key Responsibilities:

• Collaborate with stakeholders to identify and deliver AI-drivensolutions for business problems.
• Evaluate or develop evaluation frameworks for external AI vendorsolutions to ensure performance, compliance, and alignment with business needs.
• Design, develop, and deploy machine learning and generative AI models tosolve business problems.
• Operationalize and maintain scalable AI/ML pipelines and infrastructureusing modern tools and frameworks.
• Support MLOps and LLMOps practices including model deployment,monitoring, and lifecycle management.
• Ensure AI systems comply with responsible AI, data privacy, and governance standards.

Requirements

• Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience in AI engineering, machine learning and data science.
• Proficiency in SQL, Python, and cloud platforms such as AWS.
• Practical hands-on experience with GenAI frameworks and a broad range of tools to assist in the AI development lifecycle: Hugging Face, Lang Chain, Docker, Kubernetes, etc.
• In-depth knowledge of AI governance and responsible AI practices
• Experience with monitoring and observability tools for AI systems
• Excellent communication, stakeholder management, and teamwork skills
  

If you find yourselfable to demonstrate the criteria above, apply with us now. We look forward toyour application.