At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
• To support the Analytics Centre of Excellence by delivering analytics solution strategies that enable AIA’s vision of promoting Healthier, Longer, Better Lives.Define and execute data science approaches to support both short‑term and long‑term business needs, driving tangible business outcomes.
Partner with the Insights team to ensure timely delivery of the analytics workplan with high‑quality outputs.
Act as a hands‑on analytics technical expert, working with large datasets and applying a broad range of machine learning methodologies and algorithms using relevant data tools.
Develop, test, and deploy models, simulations, and optimisation solutions to address business problems.
Serve as an analytics consultant to business stakeholders, providing insights and recommendations to support decision‑making.
Coach and guide team members in delivering creative analytics solutions for continuous improvement.
Establish and maintain high standards of procedural and technical documentation.
Research, experiment with, and apply advanced and emerging machine learning techniques and tools.
Drive the collection of new data and continuous refinement of existing data sources.
Bachelor’s Degree or Master’s Degree in a relevant field of study.
6-8 years of experience in data science or related roles.
Develop, fine‑tune, and evaluate LLM‑based models (e.g. GPT, Gemini, Claude, DeepSeek, Mistral).
Implement retrieval‑augmented generation (RAG) pipelines using vector databases and embedding models.
Design and iterate prompts, system instructions, templates, and chains of reasoning to improve output quality.
Develop automated prompt evaluation frameworks using offline metrics and human‑in‑the‑loop reviews.
Optimize prompts for stability, safety, and enterprise‑grade reliability.
Expertise in programming‑based analytics with experience in two or more of the following: SQL, Python, LLM prompt engineering.
Proven experience in building statistical models, segmentation, and predictive or propensity models (e.g. clustering, predictive modeling, neural networks, scenario analysis, conceptual modeling, and hypothesis testing).
Strong understanding of machine learning algorithms, design principles, and best practices.
Solid understanding of machine learning model management principles and practices.
Ability to work in a fast‑paced, multidisciplinary, and competitive environment.
Strong analytical, deductive reasoning, problem‑solving, and critical‑thinking skills.
Strong collaboration skills with the ability to work effectively across teams.
Strong business acumen and project management skills, with the ability to manage multiple priorities.
Added advantage if the candidate has experience with Big Data platforms (especially unstructured data) and deep learning.
Strong sense of urgency and accountability to drive business outcomes.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
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