Associate Director, Data Science Associate Director, Data Science …

AIA Company Limited
in Hong Kong
Permanent, Full time
Be the first to apply
Competitive
AIA Company Limited
in Hong Kong
Permanent, Full time
Be the first to apply
Competitive
Associate Director, Data Science
Bring your career aspirations to life with AIA!
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A key member of our newly formed Digital Property & Casualty (Digital P&C) team, the incumbent will strongly influence business decisions by helping to develop and institutionalise a data-driven approach across the organisation. The incumbent will work closely with Digital Partners, business units and other functions in the Group office including Marketing, Distribution, Strategy, Propositions, Digital and Operations. His/her primary role will be the development of AI and machine learning solutions across multiple business applications - including but not limited to, improving customer acquisition and engagement, claims management, distribution performance, and fraud detection.

Roles and Responsibilities
  • Develop AI and machine learning solutions to optimise business performance across different areas of the organisation
  • Use data analytics to help in-country Marketing, Distribution and Operation teams to increase revenue, lower costs and improve operational efficiency
  • Identify actionable insights from analytics solutions, and communicate this to relevant stakeholders to improve decision making and drive business performance
  • 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
  • Explore alternative sources of information, such as social media, blogs, mobile, and other digital data to understand customer and distributor behavior and uncover business opportunities
  • Work closely with business units to govern the effective implementation of analytics solutions
  • Develop processes and tools to monitor model performance, as well as implement improvements as needed
  • Implement analytical models into production by collaborating with relevant stakeholders
  • Provide training to analytics resources in the countries on AI and machine learning methodologies, and sharing of best practices
  • Drive analytics innovation by keeping abreast of industry's trends, evaluating and adapting new and improved data science approaches for the business

Quantitative metrics
  • Number of use cases designed and related conversion rates from Digital P&C customers to drive growth through online to offline (O2O) sales

Qualitative benefits
  • Enrich customer data including behavioral patterns to nurture leads (to be further defined and measured)
  • Implementation of new ways of working/agile, resulting in speed-to-market and ability to execute with nimble, empowered teams

Minimum Job Requirements
  • Bachelor's Degree in a numerate discipline e.g. Data Science, Actuarial Science, Mathematics, Statistics, Engineering, or Computer Science with a strong computer programming component
  • At least 10 years working experience, with extensive hands-on experience in developing AI and Machine Learning solutions
  • Proven hands-on experience in the use of at least one advanced data analysis platform (e.g. Python, R, SAS)
  • Exposure to all stages of data analytics project lifecycle (scope definition, data requirements, extraction, exploration, transformation, solution development, tracking)
  • Demonstrable understanding of data quality risks and ability to carry out necessary exploratory data analysis and quality checks to validate results obtained
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, random forest, artificial neural networks, etc.)
  • Tenacious, with a desire to 'get to the bottom' of things with sound logical reasoning and deep analytical ability
  • 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
  • Experience in big data environment and tools such as Hadoop, Hive, Datameer is desirable
  • Fluency in both spoken and written English. Any Asian language is preferred

Reporting Structure and Supervisory / Managerial Responsibilities
  • Lead a Senior Data Engineer and working in collaboration and partnership with Local Business Units (LBUs) CEOs, Chief Marketing Officers, Chief Customer Officers, local executive committee (ExCo) across all businesses and Group Office functions

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.
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