What Jobs are available for Data Science in Hong Kong?

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role
The candidate will be a passionate and forward-thinking GenAI Data Scientist to support company's key business initiatives and projects. S/he will be responsible for curating and developing technical capabilities for the Data Science Team, from gatekeeping the choice of technologies to the implementation of technical solutions.

The right person for this role will be someone who has experience in driving scalable technical solutions in data and AI projects. We expect the candidate to be open-minded, have good interpersonal skills, supportive of the development of the team and can drive business objectives through collaboration. We expect the candidate to 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 (80%)

• Design and implement data and AI models to support use cases 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 and AI solutions.
• Explore and leverage state of the art AI/ML techniques for a variety of problems at the intersection of AI/ML.
• Develop, maintain and enhance AI/ML solutions that are highly usable, scalable, secure, and able to be utilized in high volume distributed data.
• 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.
• Lead efforts to select and implement the AI and analytics technologies required to support AIA HK business initiatives.
• Drive technology investments that utilize AI and 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.
• Experience developing and deploying AI/ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• Promote and educate responsible use of AI to all stakeholders in the organization

People Management Duties (20%)

• 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.

Job Requirements

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related discipline
• 10+ years of relevant experience, at least 1 year in GenAI
• Excellent analytical capability and understanding of various AI and analytical techniques
• Proficiency in Python, SQL, Azure Cloud (or other cloud providers), secure provisioning on AOAI, API servicing (Docker, Kubernetes), big data open-source solutions such as Spark
• Knowledge and experience of Software Development best practices (CI/CD pipelines, version control, etc)
• Demonstrated skill, comfort, and success in leading teams to deliver on AI and analytics projects.
• A track record of using quantitative analysis to inform commercialization decisions and product roadmaps.
• 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 AI and 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.
• 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 relevant license if your job involves in 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.

At AIA we've started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About The Role

• Complete underwriting assessments within personal authority levels
• Achieve service level, productivity, and quality targets
• Strong adviser communication and relationship building
• Developing and maintaining positive working relationships with all stakeholders

Roles And Responsibilities
Projects & Reports (90%)

• To create and execute the data science approach to support the long term and short term business needs, which will drive tangible business outcome
• Develop AI and Machine learning solutions to optimize business performance
• Help to develop customizable reports / production-ready dashboards for clients
• 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 and Crypto.
• Participates in projects relating to actuarial solutions, service enhancement or business initiatives
• Prepares regular and ad hoc underwriting reports as required

Other responsibilities (10%)

• Performs other responsibilities and duties periodically assigned by supervisor in order to meet business requirements

Minimum Job Requirements

• University/Collage graduate with 2 - 4 years' experience OR
• Form 5 graduate plus 6 - 8 years related experience
• Problem – solving and communications skills
• Good communication skills in English, Cantonese and Mandarin
• Proficiency in Microsoft applications

Others

• You are required to obtain relevant license if your job involves in 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.

Roles and Responsibilities:

• Data Analysis & Actionable Insights: Apply advanced statistical techniques to analyze large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to business.
• Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance, and policy optimization. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
• Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
• Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
• Presentation and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.

Technical Skills:

• Proficiency in programming languages such as Python and SQL.
• Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch.
• Strong knowledge of statistical analysis techniques and modeling methods.
• Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
• Expertise in SQL for data manipulation and querying.
• Experience with data visualization tools like Tableau, Power BI.

Experience:

• Minimum 3–5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
• Proven track record of developing and implementing machine learning models in production environments.
• Strong ability to work with large, complex datasets and derive actionable insights.

Multinational to medium-size insurance companies are looking for Data Science / Machine Learning / Data Analytics / Data Engineering / Data Governance / Data Privacy at various levels for the business growth. (Junior to Senior Level)

Requirements

• Bachelor degree in Statistics, Quantitative Analysis, Computer Science, Data Science or related disciplines
• experience working in Data Science / Machine Learning / Data Analytics / Data Engineering / Data Governance roles
• Proven track record in using data to measure performance, build tools and make decisions
• Excellent in using Power BI; Knowledgeable in other BI tools, e.g. Google Analytics; Advanced Excel skills
• Strong in database concepts and competence in SQL query and optimization
• Good at programming; eg. Python, PySpark
• Understanding of the insurance value chain.
• Experience in leading business insights and analytics projects via internal resources, and/ or external research partners / vendors is a plus. Project management experience is preferred
• Ability to resolve ambiguity and manage conflicting needs from stakeholders while working within the constraints of a complex technical and operational environment
• Strong problem-solving, strategic thinking with strong analytical and implementation skills
• Ability to work independently under pressure, and can handle multiple and ad-hoc tasks with a can-do attitude as an individual or a team player
• Result-oriented and self-motivated; Intellectual curiosity and proactive, ability to learn fast
• Good communication and presentation skills

The Hong Kong Monetary Authority (HKMA) is charged with the responsibility for maintaining the stability and integrity of the monetary and financial systems of Hong Kong. There is now an excellent opportunity for eligible candidates to apply for the following post:

• Conduct data science research on granular and alternative data for risk monitoring and surveillance
• Lead a team of programmers to automate data dashboard, database management, and model deployment
• Oversee, maintain, and enhance the daily operations of an internal web portal and Generative AI-powered tools

• University degree in data science, statistics, economics, computer science or related fields
• At least 3 years of solid work experience in data science, data engineering, and / or data analytics
• Proficiency in Python, SQL and Tableau
• Hands-on experience with containerization and deployment using Docker and Kubernetes
• Familiarity with DevOps tools (Git, Terraform, Jenkins) and orchestration tools (Apache Airflow)
• Solid understanding of cross-system integration and full data pipeline development
• Knowledge of machine learning algorithms, natural language processing, and big data toolkits an advantage
• Highly motivated with good communication, analytical and problem-solving skills
• Good command of both written and spoken English and Chinese

A competitive remuneration package will be offered to the successful candidate, with flexibility to take account of additional experience and qualifications. Fringe benefits include medical and dental benefits, paid annual leave and provident fund benefits.

Manager (Data Science)

Key Responsibilities

• Conduct data science research on granular and alternative data for risk monitoring and surveillance
• Lead a team of programmers to automate data dashboard, database management, and model deployment
• Oversee, maintain, and enhance the daily operations of an internal web portal and Generative AI-powered tools

Requirements

• University degree in data science, statistics, economics, computer science or related fields
• At least 3 years of solid work experience in data science, data engineering, and / or data analytics
• Proficiency in Python, SQL and Tableau
• Hands-on experience with containerization and deployment using Docker and Kubernetes
• Familiarity with DevOps tools (Git, Terraform, Jenkins) and orchestration tools (Apache Airflow)
• Solid understanding of cross-system integration and full data pipeline development
• Knowledge of machine learning algorithms, natural language processing, and big data toolkits an advantage
• Highly motivated with good communication, analytical and problem-solving skills
• Good command of both written and spoken English and Chinese

Remuneration Package

A competitive remuneration package will be offered to the successful candidate, with flexibility to take account of additional experience and qualifications. Fringe benefits include medical and dental benefits, paid annual leave and provident fund benefits.

Closing Date for Application:
11 October 2025.

Please visit our website at

for more information about the position.

We are seeking a Director of Data Science to lead and manage a team of diverse profiles under HK Data Lab. This role is pivotal to developing AI-first products to deliver business value and to support IFC's strategic business imperatives for our CL/SL businesses. The ideal candidate will collaborate with both business and technical collaborators in Canada and other jurisdictions, to define, develop and deploy innovative AI products. This position locates in Hong Kong and reports to the Head of Hong Kong.

What You Will Do Here
Team Management

• Lead, mentor, and manage a cross-functional team of managers and senior individual contributors with diverse expertise: Data Scientist, AI Developer, Actuarial, etc.
• Foster a collaborative and learning culture in the team and across the HK lab, keeping our staff motivated to develop the industry's best AI products to enable outperformance by unlocking value from the rapidly evolving AI technologies.
• Attract top talents to the Lab through involvement in recruitment events, industry events, local AI community to build presence and demonstrate IFC's leadership in AI.

AI Product Mangement
and Execution

• Develop and manage a portfolio of AI products, responsible for the full product life cycle of each product from ideation for solving complex business problem with a novel approach, early-stage product experimentation to proof business value, commercialization for full scale deployment, and continuous improvement and maintenance to ensure optimal performance.
• Implement best practices in both data science and engineering perspectives to ensure products delivered are robust in performance and adherence to IFC's compliance and security standards.
• Collaborate with business and technical stakeholders to ensure alignment on objectives, scope, timelines and infrastructure design. Lead cross-functional squads to drive end-to-end delivery.

Strategic Planning and Leadership

• Serve as a trusted technical advisor to business leaders translating strategic and business objectives into AI roadmap and execution plan, focusing on business impact, innovation and building capabilities scalable across IFC's global operations.
• Establish and track key performance indicators (KPIs) and service level objectives to measure and improve business impact and operational excellence.
• Manage use of human, financial and material resources according to business strategies and budget planning, proactively seeking opportunities to optimize value creation to IFC from available resources within the lab.

What You Bring To The Table

• AI enthusiast with deep expertise and applied knowledge in data science or related fields including and not limited to machine learning, actuarial science, mathematics, statistics, computer science.
• Minimum 10 years of relevant experience including at least 3 years building data science products.
• Experience managing first-level managers, a large team of at least 10 people mixed with diverse technical expertise in multiple disciplines.
• Strong ability & political sense to influence various level of management. Excellent written and verbal communications skills.
• Lead with vision and values. Make strategic decisions independently and collaboratively with others.
• Superior negotiating skills, foster engagement and develop strategic working relationships. Facilitate change by taking risks.
• Excellent communication skills to collaborate with both business and technical stakeholders and across IFC's global operations.

About Us
The Intact Lab – with headquarters in Montreal, Canada – is a fast-growing, digital innovation hub backed by Intact Financial Corporation (TSX: IFC, HK$110 billion in market cap), Canada's largest home, auto and business insurance company. Intact Financial (HK) limited (Intact Lab, HK) is our first R&D A.I. centre outside of Canada. This expansion into the Asia Pacific region is an exciting chapter of our journey to become the best insurance A.I. shop in the world.

Chez Intact, nous valorisons la diversité et créons un milieu de travail inclusif et accessible où tous se sentent appréciés, respectés et écoutés.

Si nous pouvons rendre le processus de recrutement plus accessible pour vous, n'hésitez pas à nous le dire quand nous vous ferons part d'une possibilité d'emploi. Nous travaillerons avec vous pour répondre à vos besoins.

Cliquer ici pour d'autres informations importantes sur le processus d'embauche, y compris la vérification des antécédents, les candidats internes et le droit de travailler au Canada.

Lead the transformation of data and AI across a global insurance enterprise. This role drives innovation through cloud-native platforms like Azure and Databricks, deploying advanced analytics, LLMs, and Generative AI. This role calls for a forward-thinking leader with deep technical acumen, exceptional stakeholder engagement skills, and a history of delivering high-impact data and AI initiatives that drive strategic outcomes and enhance operational performance.

Responsibilities:   

• Provide strategic leadership to a high-performing team of data science analysts, cultivating a culture of innovation, continuous learning, and results-oriented execution.
• Champion the enterprise-wide adoption and integration of AI and data-driven solutions, demonstrating a strong leadership presence and forward-thinking mindset.
• Oversee the full lifecycle delivery of impactful Data & AI initiatives, ensuring alignment with business and operational goals, with a focus on automation, efficiency, and scalable growth.
• Architect and implement robust data pipelines, Data Marts, and data products using Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud technologies.
• Spearhead the deployment of advanced machine learning models, including Large Language Models (LLMs) and Generative AI applications such as document understanding, summarization, and retrieval-augmented generation, with a proven record of successful implementations.
• Establish and maintain strong data partnerships by applying deep business acumen, translating complex analytics into actionable strategies, and managing stakeholder relationships with maturity and influence.
• Facilitate organizational transformation through knowledge sharing and team upskilling in AI/ML methodologies, cloud engineering, and emerging technologies.
• Advocate for best practices in AI, cloud data engineering, and analytics, ensuring timely, high-quality delivery while upholding operational excellence.
• Continuously explore new opportunities for data-driven automation and AI innovation to generate sustainable business value.

Qualifications:

• Bachelor's or master's degree in computer science, Data Science, Statistics, AI Engineering, or a related discipline.
• Over 7 years of experience in data science, AI, or machine learning, including a minimum of 2 years in a senior leadership or managerial role.
• Deep hands-on expertise in Azure Cloud, Databricks, data pipeline architecture, and cloud-based data engineering.
• Proven capability in building, deploying, and operationalizing machine learning models—particularly LLMs—with measurable business impact.
• Exceptional stakeholder management skills, adept at navigating complex relationships and influencing senior decision-makers.
• Inspirational leadership style with a focus on team development, motivation, and technical upskilling.
• Highly proactive and innovative, with a track record of anticipating future needs and driving transformative change.
• Good command of written and spoken in English & Cantonese
• We apologies that only shortlisted candidates will be contacted.

For more details, please feel free to ping me for a chat or send me an email at Please let me know if you have any referrals or if you are interested in the role.

Responsibilities

• Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI.
• Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum.
• Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc.
• Support C360 Datamart enhancement and pipelines maintenance.
• Monitor and enhance the performance and effectiveness of existing models in production.
• Manage BI solution development and implementation for various MI reporting using Power BI.
• Deliver insights from the data visualization process from a customer-centric approach.

Qualifications

• Bachelor's or advanced degree in relevant fields such as Data Science, Statistics, Mathematics, or related disciplines.
• 7-8 years of professional experience in data analytics, including roles as a statistician, analyst, or data scientist, with at least 2 years of managerial experience.
• Strong stakeholder management and interpersonal skills.
• Proven ability to mentor and develop junior team members.
• Experience with Azure and Databricks is a plus.
• Hands-on experience in RAG (Red-Amber-Green) design and implementation.
• Practical knowledge of deep learning frameworks such as TensorFlow and PyTorch.
• Solid understanding of the end-to-end model development process, including data cleansing, feature engineering, model training, and validation, along with familiarity with underlying algorithms.
• Proficiency with data science libraries such as Pandas, Spark, NumPy, and Scikit-learn.
• Strong programming skills in Python and SQL.
• Web programming experience is an advantage.
• Prior exposure to or knowledge of the insurance industry will be an asset.
• Proactive, with a positive, can-do attitude.
• Excellent command of English; proficiency in Cantonese and Mandarin is preferred.
• Candidates with less experience may be considered as Assistant Manager.

About AXA Hong Kong And Macau
AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers' needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Diversity and Inclusion (D&I) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company.

Click here to learn more about our Benefits ) , Culture ), & Career Development ).