Data Science, Principal | 人才服務辦公室

職位描述

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

Lead the development and maintenance of the AI and machine solution for various operation. Leverage data analytics techniques and collaborate with cross functional team to providing actionable insights to the management team to drive business decisions, operations efficiency and customer experience.

Roles and Responsibilities:- Apply advanced data mining and statistical analysis techniques to identify patterns, anomalies, and trends in large and complex datasets related to various insurance operations problem statements

• Develop Analytics / ML solutions for all operations functions (i.e. Underwriting, Claims FWA, Service etc.) to increase business efficiency and improve customer experience
• Automate operations process by using AI solutions to increase STP to reduce costs and improve customer experience
• Collaborate with the data engineering team to gather and preprocess relevant data, ensuring its quality, accuracy, and suitability for analysis
• Work closely with the Cross-functional team to understand business requirements and provide data-driven recommendations to drive decision-making
• Utilize data visualization tools to communicate findings and insights effectively to both technical and non-technical stakeholders
• Provide training and mentorship to Operations colleague, fostering a data-driven culture within the organization

Minimum Job Requirements:- Bachelor's degree in a numerate discipline, e.g. Actuarial science, Mathematics, Statistics, Engineering, or Computer Science

• At least 5 years of working experience, ideally with experience in predictive analytics
• Experience in Insurance Operations, or Healthcare analytics
• Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, TensorFlow/Pytorch)
• Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking, and implementation)
• Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained
• Experience with a variety of machine learning techniques (clustering, decision tree, random forest, etc.)
• Knowledge of deep learning solutions and architectures - Convolutional Neural Network, Recurrent Neural Network and Transformer
• Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes
• Sound knowledge of programming in SQL or other programming experience
• Articulate, with excellent oral and written communication skills. Adaptable, able to interact and build strong relationships with people from a diverse range of backgrounds
• Fast learner with a willing attitude. Intellectually rigorous, with strong analytical skills and a passion for data and analytics

Others:- You are required to obtain the relevant license(s) if your job involves regulated activities

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.