At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
It's about finding new ways to not only better people's lives, but to better the communities and environments we live in. Encompassing our ambition of helping a billion people live Healthier, Longer, Better Lives by 2030.
And as part of our marketing, distribution & partnership team, you'll play a vital part in advancing this movement. From inspiring meaningful connections with customers, partners and other stakeholders, to delivering purpose-led brand positioning and messaging, you'll be making a positive, healthy impact across all channels. You will have a unique and important part to play in helping more people live Healthier, Longer, Better Lives.
So if you believe in inspiring a better future, read on.
AIA is hiring for Data Scientist with below details responsibilities & requirements:
Position Objective:
- Timely and quality delivery of analytical solutions through impactful insights and predictive algorithms that support business decision making.
- Create and share insights with internal and external parties that add value to the customers and to the organization.
- Improve the customer experience, operational efficiency and innovation through leveraging on latest technologies in Machine Learning and AI/Advanced Analytics.
- Coordinate with various teams and the stakeholders to maximize the benefits and impact of AI & Analytics use cases 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.
