Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives.
In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment and advisory solutions through its GROW with Singlife platform. It also offers the Singlife Account, a mobile-first insurance savings plan.
Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, affirming its commitment to finding a better way to sustainability.
The merger of Aviva Singapore and Singlife was announced in September 2020 and created one of the largest homegrown financial services companies in Singapore in a deal valued at S$3.2 billion. It was the largest insurance deal in Singapore at the time. Singlife was subsequently acquired by Sumitomo Life in March 2024, one of Japan's leading life insurers, which valued Singlife at S$4.6 billion, making the transaction one of the largest insurance deals in Southeast Asia.
Role Purpose
Support testing and delivery of the Ops Decision Engine, gaining exposure to rule-based decision systems and AI-supported operations. Focus is on learning and supporting core project activities.
Internship Period
September - December 2026 (3 months)
Key Responsibilities
- Support testing and validation of decision outputs.
- Assist in data preparation and analysis.
- Review and document Python-based outputs.
- Support rule testing (pass / refer / decline scenarios).
- Assist dashboard/reporting for KPIs.
- Document issues and improvement areas.
Learning Scope
- Rule-based decision systems.
- AI explanation vs decision logic roles.
- Data analysis and Python usage.
- Governance and audit principles.
- Ops and automation integration.
Success Outcomes
- Clear documentation and testing outputs.
- Understanding of rule-based systems.
- Contribution to testing and reporting.
Requirements
- Degree in Computer Science, Data Science, Engineering or related field.
- Basic knowledge of Python and data analysis.
- Interest in AI and operations transformation.
- Strong analytical thinking.
