Bring your career aspirations to life with AIA!
- To support on being the Centre of Excellence for analytics solution strategy to enable AIA’s vision of promoting Healthier, Longer, Better Lives.
- To be part of the data science team to deliver analytical work that drives business growth, customer experience, productivity and optimizes efficiencies.
- To create valuable best practices that can be replicated in other markets.
- To produce best practice analytics solutions to support business decisions with measurable success to drive business growth and effectiveness.
- To deliver 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 and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome
To partner with the Insights team to ensure delivery of analytics workplan in a timely manner with brilliant quality work
This role requires candidates to have a hands-on approach and be the analytics technical expert who uses large data sets and strong in applying varieties of machine learning methodology / algorithms with different data tools in developing the models, running simulations & optimization
To be an analytics consultant for the business stakeholders and able to coach team members to recommend and deliver the creative analytics solutions for continuous improvements and solving business questions
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 refinement of existing data sources
Job Requirements:
Bachelor's Degree / Masters in any relevant field of study is required
5 years’+ data science related experience
Expert in programming based analytics with experience in two or more of the following languages:SQL
R
Python
SAS (Optional)
Proven experience in building statistical models, segmentations, predictive and propensity models (e.g clustering, predictive models, neural network, scenario analysis, conceptual modeling, hypothesis testing).
Good understanding of design and machine learning algorithm principles
Good understanding of machine learning model management principles and practices
Able to work in a fast-paced, multidisciplinary and competitive environment
Strong analytical skills, deductive reasoning, problem solving and critical thinking skills
Able to collaborate with other teams to drive positive outcomes
Strong business acumen and project management skills with ability to manage multiple priorities
Added bonus if candidate has experiences over Big Data platform (esp unstructured data) and deep learning
Strong sense of urgency and accountability to drive business outcomes
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.
