138 Data Leadership jobs in Hong Kong

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.

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 ).

• Vertical Square 28 Heung Yip Road, Wong Chuk Hang, HONG KONG, HK
• DATA AND AI
• 9681
• HK Grade 5
• Sze Yee FAN

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 ).

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.

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

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.

Join to apply for the data science & analytics manager role at Starbucks Asia Pacific .

This role contributes to Starbucks’ success by empowering our AP partners with trusted data and advanced analytics to drive strategic decisions and sustainable growth. As a key member of the Data Strategy and Analytics team under the Finance organization, the data science & analytics manager plays a pivotal role in enabling data-informed decision-making through advanced analytics, cross-functional collaboration, and scalable data solutions.

The ideal candidate is a structured yet creative problem solver, passionate about working with diverse teams, and thrives in a multicultural environment. This role translates business questions into analytics projects, synthesize insights, recommend course of action, while supporting data governance and stewardship efforts. The position requires close collaboration with markets, regional functions, global teams, technology partners, and external vendors to ensure the integrity, accessibility, and strategic use of data across our AP markets.

• Data & Analytics Generation
  
  
  
  • Translate complex business questions into data science projects and determine appropriate analytical approaches, including the use of machine learning where applicable
  
  
  • Conduct data extraction, cleansing, transformation, and exploratory analysis to uncover insights and support strategic decision-making
  
  
  • Develop and present insights and recommendations to stakeholders, ensuring clarity, accuracy, and business relevance
  
  
  • Drive the adoption of analytics into business processes and oversee the end-to-end testing and validation of outcomes
  
  
  • Works closely with data operations, engineering and platform teams to bring analytics use cases to live
  
  
  
  


• Project & Stakeholder Management
  
  
  
  • Collaborate with cross-functional teams to define project scope, establish milestones, and manage timelines for regional data initiatives
  
  
  • Serve as a liaison between markets, regional functions, technology teams to ensure alignment on data requirements and project deliverables
  
  
  • Manage the full analytics project lifecycle, including discovery, data preparation, model planning and building, summarize findings and post-launch sustainment
  
  
  
  


• Data Stewardship & Governance
  
  
  
  • Ensure data quality and consistency through diligent stewardship practices, including alignment of data definitions, aggregation logics, and quality threshold standards
  
  
  • Promote the adoption of analytics and effective use of data by building capabilities, mentoring partners and advocating a data-driven culture across the region
  
  
  • Partner with stakeholders to socialize data pilots and prototypes best practices across the organization
  
  
  
  

• Bachelor’s degree in Business, Data & Analytics, or a related field, Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Economics) preferred


• 3-5 years relevant experience in data science, analytics, and data management, preferably in a regional or multinational environment

• Strong command of SQL and ETL tools (e.g. Alteryx, Synapse) with business-applicable and performance optimization experiences


• Advanced competency in at least one analytic language (e.g. R, Python, SAS), solid machine learning techniques (e.g. regression, clustering, decision trees, anomaly detection, text classification) and applied statistical modeling experiences


• Well-seasoned in data visualization tools (e.g. Tableau, Power BI)


• Knowledge of big data processing and data integration concepts

• Proven ability to apply analytical thinking to solve business problems, synthesize insights and influence decision-making


• Strong project management skills with the ability to handle multiple workstreams, priorities and stakeholders concurrently


• Demonstrated ability to work effectively in a cross-functional, multi-cultural team environment, and acknowledge differences in ways of working


• Excellent communication and presentation skills with native-level English proficiency, additional Asian language(s) a plus

• Mid-Senior level

• Full-time

• Analyst and Finance

• Food and Beverage Retail, Retail, and Food and Beverage Services