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
AIA is hiring for Data Scientist, this position will play a pivotal role in delivering timely, high-quality analytical solutions that drive strategic decision-making. You'll develop predictive algorithms and generate impactful insights that enhance customer experience, boost operational efficiency, and foster innovation. Leveraging cutting-edge technologies in Machine Learning and AI, you'll collaborate across teams and stakeholders to maximize the value and impact of data-driven initiatives within the organization.
Key Responsibilities
- Perform tasks such as data exploration, cleaning, and feature engineering with the development of APIs from data science models in a cloud-based environment.
- Facilitate the implementation of AI/Analytics use cases within the organization with proper sizing of benefits and impact to the organization.
- Analyze complex datasets and correlating information into predictive forecasts and/or fact-based trend analysis.
- Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions, increasing productivity, or improving sales performance.
- In charge and comfortable in model presentation, articulating, communicating in concise, effective and clear communication during the model development towards line of business, risk team and technical team.
- Based on defined business model, the data scientist will collaborate to do 2 prototyping diverse AI/Analytics use cases, such as but not limited to: Predictive Models, Propensity to Buy, Attrition Analysis, Recommendation Engine, etc.
Job Requirements
- At least 3 years of relevant experience in implementing AI/Analytics/ML use cases with proven value and impact to the organization.
- Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R.
- Solid experience and knowledge on Azure Cloud Platform (or any of the major cloud solution providers such as AWS, Azure, AliCloud) in implementing end-to-end model training, validation & deployment within the associated cloud services.
- Proven knowledge & delivery working with structured & unstructured data with a diverse set of data technologies: Informatica, Databricks, Azure Data Factory & etc.
- High fluency in Python, SQL or equivalent and experience with big data tools: Hadoop, Spark, Kafka & etc.
- Knowledge of version control tools such as Bitbucket, GitHub & GitLab.
- Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions.
- Ability to write clear and concise technical documentation.
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. 
