Overview
AIA Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth.
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.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
Responsibilities
- 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.
Qualifications
- 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 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.
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