Bring your career aspirations to life with AIA!

The person will lead the ML pipeline set-up of various applications in data science cloud platform and help chart the course for the continual evolution of the organisation. S/he should have data science and computer engineering related knowledge to research, build, and design self-running workflow and deliver an end-to-end solution across machine learning lifecycle.

The right person for this role should be solutions oriented, have experience of scaling the solution from scratch, identify opportunities for optimisation, and be 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

• 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
• Model deployment and feedback loop design to serve for CICD and low-maintenance purpose.
• Studying, transforming, and converting data science prototypes
• Design the model monitoring/feedback pipeline to visualize the model performance with time ongoing and set for the model retraining loop if model is biased
• 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 driving/setting the robust maintainable architectures
• Know how to write API for sending the model result and receiving the front-end information
• 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
• Provide vision for shaping analytics and data science functions
• Develop the framework for analytics across the company standardization of data collection, data automation, data management, data use and model governance
• Lead efforts to select and implement the technologies required to support AIA HK Analytics requirements
• Drive technology investments that utilize analytics as strategic tool
• Partner with stakeholders to identify and design the model deployment solution
• Promote re-use and cross business function awareness of best practices, challenges, etc.

People Management Duties

• Direct activities of a team of data scientist and analysts, and project team members
• Identify, train, and develop potential machine learning engineer. Scale up data scientist engineering related knowledge
• Implement staff management activities to align with company directive

Minimum Job Requirements:

Education & Experience

• Master degree or above in relevant fields (Computer Science, engineering, mathematics, statistics or related discipline)
• 10+ years of relevant experience
• Hands-on experience with modern enterprise data architecture, data science solution end to end design and deployment
• Good analytical capability and understanding of various AI and analytical techniques
• Excellent knowledge of programming languages like Spark, Python, R, and Scala
• Demonstrated skill, comfort, and success in leading teams to deliver/launch analytics projects
• Ability to visualize data and model result in the most effective way possible for a given project or study
• A strong data and solution 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

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
• Good communication, presentation, consultative and interpersonal skills

Others:

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

Candidates with less experience will be considered as SM level.

Build a career with us as we help our customers and the community live healthier, longer, better lives.

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