Principal Analyst, Data Science

AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

If you want to shape a brighter future at AIA Digital+, please read on.

• Engage business leaders to discuss the business benefits that ML and AI can provide. Develop AI and ML models and algorithms to solve business problems
• Create and manage use cases to apply ML and AI concepts
• Monitor document ingestion pipeline, involve business to do trouble shooting
• Triage different doc ops process to make sure the on-going solution accuracy
• Address negative feedback cases and provide tech solution to mitigate
• Chunking tech and metadata fine tune if need to handle new structure of document
• Prompt fine tunning: RAG fine tune from the user feedback according to the existing query scope, execute the fine tuning (for example, enhance the intent classifier)
• Solution performance monitoring, alert the performance downgrade and provide improvement suggestion on LLM design, execute the fine tuning
• RAG fine tune, based on the continuous new golden test cases from business and pass to QA team to add into test scope
• Document best practices and solution frameworks. Replicate and scale solutions to markets with common/similar business needs
• Support SIT, UAT on communication with business team
• Support release process

• Master’s degree or higher in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related discipline.
• 5–8 years of hands-on experience developing predictive and descriptive models; Global company/project work experience is preferred.
• Bilingual in Chinese and English (high fluency). Cantonese is added advantage.
• Proven track record in AI-related projects is required, with a focus on NLP and LLM.
• Ability to fine-tune RAG prompts.
• Ability to program and review code in Python is highly desirable
• Proficiency in Python programming and code review is highly desirable.
• Familiarity with insurance and financial services is a plus.

Build a career with us as we help our customers and the community live healthier, longer, better lives.

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