Data Science, Principal (AD level)
Hong Kong, HK

Bring your career aspirations to life with AIA!

  • We are looking for a Data Scientist aiming at solving business problems by model building and insight driven and a Machine Learning Engineer in deploying the models in different production environments;
  • accountable for the end-to-end solution start from distributed data setting and robust result predictions.

    The candidate will be an insights-driven analytics leader to support company’s key initiatives and help chart the course for the continual evolution of the organisation.

    S / he will be responsible for the overall data analytics strategy and roadmap for advance analytics services design and implementation.

    The right person for this role will be solutions oriented, has experience scaling teams from scratch, proactively identifies opportunities for optimisation, and is committed to data discipline and hygiene.

    This role will support our executives and our leadership team across all business functions. This individual will be a hands-on thought leader capable of both high-level strategic thinking as well as hands on ability to execute.

    Roles and Responsibilities :

    Functional Duties

  • Provide vision for shaping analytics and data science functions
  • Partner with architecture team, application teams and data analytics platform team to streamline our systems architecture, tech stack, and internal framework to support a central analytics function
  • Develop the framework for analytics across the company standardization of data collection, data automation, data management, data use and model governance
  • Evangelize the use of data-informed decision making through the organization and create data-driven standards for leveraging data science and analytics to offer both internal and external actionable insights
  • Lead efforts to select and implement the technologies required to support AIA HK Analytics requirements
  • Drive technology investments that utilize analytics as strategic tool
  • Define the most important growth metrics that track the business’s performance across different functions and utilize those to affect change
  • Partner with stakeholders within the organization to identify and execute on analytical needs / gaps
  • Design data solutions for various business functions
  • Promote re-use and cross business function awareness of best practices, challenges, etc.
  • Build and launch excellent productionalized, low-maintenance models
  • Explore and leverage state of the art machine learning techniques for a variety of problems at the intersection of Machine Learning
  • Experience working with business stakeholders and users, providing research direction and solution design and writing robust maintainable architectures and APIs
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • Develop, maintain and enhance ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data
  • People Management Duties

  • Direct activities of a team of data scientist and analysts, and project team members
  • Identify, train and develop potential data scientists.
  • Implement staff management activities to align with company directive
  • Minimum Job Requirements :

    Education & Experience

  • Master degree or above in relevant fields (Mathematics and Statistics for Data Scientist; Computer Science and Engineering for Machine Learning Engineer)
  • 10+ years of relevant experience
  • Excellent analytical capability and understanding of various AI and analytical techniques
  • Knowledge of programming languages like SQL, Python, R, and Scala
  • Experience with big data open source solutions such as Spark
  • Demonstrated skill, comfort, and success in leading teams to deliver on analytics projects
  • A track record of using quantitative analysis to inform commercialization decisions and product roadmaps
  • Ability to visualize data in the most effective way possible for a given project or study
  • A strong data storyteller
  • Demonstrated business acumen, analytical skills and ability to link strategies to business priorities and initiatives
  • Proven track record of delivering results in a dynamic high-growth environment with aggressive timelines
  • Ability to proactively identify gap and address data analytics related issues
  • Ability to learn and adapt quickly to new business domains and technologies
  • Ability to conceptualize and articulate ideas clearly and concisely
  • Hands-on experience with modern enterprise data architecture and data science toolkits
  • Competency

  • Sound problem solving and decision-making ability
  • Proven ability to identify innovation opportunities, define and deliver innovative business function
  • Ability to work independently and with team members from different backgrounds
  • Sound business knowledge in insurance industry
  • Excellent communication, presentation, consultative and interpersonal skills
  • Others

  • You are required to obtain the relevant licence(s) if your job involves regulated activities
  • 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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