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

This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth.
• To create a Centre of Excellence for analytics solution strategy to enable AIA’s vision in helping more Malaysians live healthier, longer and better lives.
• To build, lead and inspire the data science team to deliver brilliant analytics work that drives business growth, customer experience, drive productivity and optimize efficiencies.
• To create valuable best practices that can be replicated in other markets.
• To develop best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
• To create and manage the analytics workplan with the Insights team and business users to ensure delivery of brilliant analytics work that meets the business pace.

Roles & Responsibilities:

To create the data science approach and roadmap to support the long-term and short-term business needs.

To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work.

To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes.

To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions.

To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company.

To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions.

To implement and manage a high standard of procedural documentation.

To research and experiment with creative and advanced machine learning techniques and tools.

To drive the collection of new data and the refinement of existing data sources.

To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members.

Job Requirements:

Bachelor’s or Master’s Degree in a relevant field of study is required.

Minimum of 5 years of relevant working experience.

Expertise in programming-based analytics, with experience in at least two of the following languages: SQL (mandatory), R, Python, SAS.

Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing).

Good understanding of machine learning algorithm design principles.

Good understanding of machine learning model management practices.

Ability to work in a fast-paced, multidisciplinary, and competitive environment.

Strong analytical, problem-solving, deductive reasoning, and critical thinking skills.

Ability to collaborate effectively with other teams to drive positive outcomes.

Strong project management skills and ability to manage multiple priorities.

Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera.

Strong sense of urgency and accountability to drive business outcomes.

Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.