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Bring your career aspirations to life with AIA! Responsible for changing AIA's analytics landscape and business formulas by delivering best-in-class advanced analytical solutions to drive business growth, improve efficiencies and reduce costs.
Company Name: AIA Singapore Position Title: Manager, Enterprise Analytics (Data Science) Department / Functional Area: Enterprise Analytics, Customer and Digital Office Reports to: Associate Director, Enterprise Analytics (Data Science) Current Job Grade/Level GCB 05 Work Location: Singapore
Responsible for changing AIA's analytics landscape and business formulas by delivering best-in-class advanced analytical solutions to drive business growth, improve efficiencies and reduce costs.
Roles and Responsibilities:
Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements.
Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance.
Implement analytical models into production systems by collaborating with relevant stakeholders.
Develop processes and tools to monitor and analyse model performance, as well as implement improvements as needed.
Provide support in building the foundation of technical analytics capabilities within Enterprise Data Analytics department, including sharing of best coding, modelling and data science practices within the team.
Drive analytics innovation by keeping abreast of industry's trends, evaluating and adapting new and improved data science approaches for the business.
Develop in depth understanding of the business and be able to advise the business on the right analytics approach by participating in business discussions and presentations as applicable.
Reporting Structure and Supervisory / Managerial Responsibilities: This role will report to the Associate Director, Enterprise Analytics (Data Science).
Minimum Job Requirements:
Bachelor's degree holder, ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Statistics, Applied Math, Data Science or other related quantitative field is preferred.
Approximately 3-5 years' of working experience in data science.
Experience using programming languages (e.g. Python, R, SQL) to manipulate data and draw insights from large data sets.
Experience with business intelligence tools (e.g. Tableau), Excel, PowerPoint. Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience in productionisation of Machine learning systems is highly desirable
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Strong analytical skills, deductive reasoning, problem solving and critical thinking skills.
Excellent relationship management, strong team building, and the ability to work across business units and functions to drive positive business outcomes.
Project management skills and ability to manage multiple priorities.
Strong sense of urgency and accountability to drive business outcomes.
Passionate about working with numbers.
A drive to learn and master new technologies and techniques.
Able to communicate to all levels in the organisation.
Able to communicate complex modelling results in a simplified, comprehensible and convincing manner for non-technical stakeholder audiences.
Financial and Non-Financial Measures:
Timeliness of completion of deliverables
Effective stakeholder management
Achieve planned benefits realisation
Effective problem solving through self or with teams
Build a career with us as we help our customers and the community live healthier, longer, better lives.
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