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AI Application Data Science, Consultant

Hong Kong, HK-AIA Hong Kong & Macau

Live, first seen by us 23 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Customer Centricity - This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society.

To support AIA’s mission of helping customers live healthier, longer, and better lives, the Data Scientist, AI Application will support the organisation’s Technology, Data and Analytics (TDA) transformation by contributing to the design, implementation, and adoption of AI-enabled solutions.

  • Research AI, machine learning and generative AI tools and business use cases

  • Run proof-of-concept and prototyping work to test feasibility and business value

  • Gather requirements and support solution design, testing and deployment

  • Maintain project and solution repositories and support knowledge-sharing

  • Present AI project outcomes to business and governance stakeholders

From the employer’s posting
Customer Centricity - This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society. The role holder is expected to embed a customer first mindset in all decisions and actions by developing a clear understanding of customer needs, taking end to end ownership to resolve issues, and working collaboratively across teams to continuously enhance the customer journey—both directly and indirectly.
To support AIA’s mission of helping customers live healthier, longer, and better lives, the Data Scientist, AI Application will support the organisation’s Technology, Data and Analytics (TDA) transformation by contributing to the design, implementation, and adoption of AI-enabled solutions. The role will work closely with business and technology teams to understand business requirements, assist in solution design activities, and help translate business needs into practical and scalable technology solutions.
Conduct research on AI, machine learning, and generative AI technologies
Deliver proof-of-concept (POC) and prototyping activities
Support solution testing, validation, and deployment activities
maintain project and solution repositories
communicating project outcomes to relevant stakeholders

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree or higher in computer science, engineering, science or related field
  • Relevant experience delivering AI projects
  • Hands-on project experience in generative AI tech stack
  • Experience with distributed system tools such as Docker, Kubernetes, OpenShift, Redis or Kafka
  • Strong communication skills in English, Mandarin or Cantonese

Preferred experience

  • Experience in DevOps, ML Ops and LLM Ops.
  • Experience in Agile/Scrum software development process.
Qualification wording
Bachelor’s degree or higher in computer science, engineering, science, or related fields
Relevant experience in AI projects delivery role
Hands on project experience in generative AI tech stack
Experience in distributed system tools, such as Docker, Kubernetes, OpenShift, Redis, Kafka, etc.
Strong communication skills in English, Mandarin, or Cantonese
Experience in DevOps, ML Ops and LLM Ops.
Experience in Agile/Scrum software development process.
Education & alternatives
Must Qualifications - Bachelor’s degree or higher in computer science, engineering, science, or related fields, or equivalent in experience and evidence of exceptional ability. - Relevant experience in AI projects delivery role
Apply at Aia

Posting record

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Status in our records
Live
First seen by us
Oct 12, 202623 days ago
Recorded sightings
64
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 23

Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Aia is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Docker
  • Kafka
  • Kubernetes
  • Redis
Where the posting names them
- Relevant experience in AI projects delivery role - Experience in distributed system tools, such as Docker, Kubernetes, OpenShift, Redis, Kafka, etc. - Hands on project experience in generative AI tech stack

Your next step

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Innovate and shape what comes next.


At AIA, your expertise, perspective and ideas can help us become a faster, simpler and more connected organisation while contributing to our Purpose of helping millions of people live Healthier, Longer, Better Lives. Across our diverse markets, you will take on real-world challenges, collaborate with talented colleagues and turn technology, data and bold ideas into simpler experiences, smarter solutions and positive outcomes for our customers and communities.


Join us to create what comes next, grow through new experiences and extend your impact across Asia.


About the Role


Customer Centricity - This role contributes to the delivery of customer outcomes that are reliable, thoughtful, and create meaningful impact for customers and society. The role holder is expected to embed a customer first mindset in all decisions and actions by developing a clear understanding of customer needs, taking end to end ownership to resolve issues, and working collaboratively across teams to continuously enhance the customer journey—both directly and indirectly.

To support AIA’s mission of helping customers live healthier, longer, and better lives, the Data Scientist, AI Application will support the organisation’s Technology, Data and Analytics (TDA) transformation by contributing to the design, implementation, and adoption of AI-enabled solutions. The role will work closely with business and technology teams to understand business requirements, assist in solution design activities, and help translate business needs into practical and scalable technology solutions.

The role will assist in evaluating AI use cases, conducting research, supporting proof-of-concept activities, and helping delivery the solutions while aligning with enterprise architecture standards, security requirements, and governance guidelines.

Beyond project delivery, the role will support knowledge-sharing initiatives, maintain project and solution repositories, and contribute to continuous improvement efforts. Through collaboration with cross-functional teams, ongoing learning, and a strong focus on stakeholder engagement to drive the successful delivery and adoption of AI solutions across the organisation.

Roles and Responsibilities:


Strategic AI Leadership & Innovation (30%)

  • Support the delivery of AI initiatives by researching emerging AI technologies, industry trends, and business use cases that may enhance operational efficiency and customer experience.
  • Contribute to AI program and roadmap activities by gathering requirements, documenting opportunities, and assisting with the planning and tracking of AI-related projects.
  • Assist in AI solution assessment and experimentation, supporting prototyping, testing, and feasibility studies under the guidance of senior team members and subject matter experts.
  • Collaborate with business and technology stakeholders to understand user needs, collect feedback, and help ensure AI solutions align with business objectives and operational requirements.
  • Promote awareness and adoption of AI capabilities by supporting knowledge-sharing activities, preparing presentations or materials, and communicating project outcomes to relevant stakeholders.
  • Continuously build AI and digital skills by staying informed of new technologies, best practices, and organisational standards, applying learning to support ongoing AI initiatives.

 

AI Solution Design, Research & Delivery (50%)

  • Support the design and implementation of AI solutions by assisting with requirements gathering, data analysis, solution documentation, and testing activities to address business needs.
  • Conduct research on AI, machine learning, and generative AI technologies, summarising findings and identifying potential applications to improve business processes and customer experiences.
  • Deliver proof-of-concept (POC) and prototyping activities, helping to validate solution feasibility, assess business value, and gather stakeholder feedback.
  • Contribute to innovation initiatives by exploring new tools, techniques, and best practices, and sharing insights with team members to support continuous improvement.
  • Support solution testing, validation, and deployment activities, ensuring deliverables meet business requirements and established quality standards.
  • Develop practical AI user cases through hands-on project experience, training, and continuous learning, applying new knowledge to support ongoing AI initiatives.

 

Business Communication, Stakeholder Alignment & Change Management (20%)

  • Act as a strategic bridge between business and technology, translating business vision into AI solution strategies and executable architecture designs.
  • Communicate complex AI concepts, solution architectures, and trade-offs clearly to senior stakeholders and governance forums.
  • Influence long-term technology direction and drive adoption of AI capabilities across AIA Group.
  • Act as a thought leader in AI and digital transformation, shaping innovation agendas and elevating engineering and solution design maturity across the organisation.
  • Demonstrates strong ownership of outcomes by proactively identifying risks, driving issue resolution, and ensuring delivery commitments are met with high quality and timeliness.

Minimum Job Requirements:

Must Qualifications

  • Bachelor’s degree or higher in computer science, engineering, science, or related fields, or equivalent in experience and evidence of exceptional ability.
  • Relevant experience in AI projects delivery role
  • Experience in distributed system tools, such as Docker, Kubernetes, OpenShift, Redis, Kafka, etc.
  • Hands on project experience in generative AI tech stack
  • Customer focus to understand customer pain points and deliver value add tech solution to customers
  • Good team player
  • Strong communication skills in English, Mandarin, or Cantonese

 

Preferred Qualifications

  • Experience in DevOps, ML Ops and LLM Ops.
  • Experience in Agile/Scrum software development process.

  • You are required to obtain the relevant license(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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Hong Kong, HK-AIA Hong Kong & Macau

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