257 Web Data jobs in Hong Kong

What You'll Do:

• Teach and facilitate training program and Python Django curriculum delivery
• Monitor learning progress, evaluate and assess students' performances
• Applying knowledge in pedagogy, develop and customize proprietary education materials for students in different regions and age groups
• Assist in the formulation of a content strategy and conduct learning needs analysis
• Engage with schools to ensure the curriculum's effective delivery
• Handle ad-hoc duties if necessary
• At least 16 hours available per week (Part Time)

Job Requirements :

• Have expertise in at least one popular Python framework.
• Minimum 5 years related work experience as Python Developer, with at least 3 years of managerial or teaching experience.
• Related Degree Holder: e.g. Information Technology, Information and Communication Technology, Information Engineering, Business Information Systems, Computer Engineering, Computer Science, Computer Networks, Electronic and Electrical Engineering, etc.
• Confident and enthusiastic individuals with teaching experience
• Good communication ability in both Chinese and English
• Deep interest in digital education for all age groups
• Able to work in an international and multicultural environment

Position Summary:

• Develop Our Fast Growing Web Store & Platform
• Manaage Dev Team & Projects
• Great Benefits & Advancement Opportunities

We are looking for a talented individual who can assist us with the following areas:

• Develop and enhance functionalities of e-commerce website
• Develop our front end website layout and back end with PHP, MYSQL, CSS/ CSS3, JQUERY, JAVASCRIPT, HTML
• Manage web development team and company projects
• Liase with different departments to ensure smooth operations with programming
• Develop web programs fozr logistics operation and business analysis

The candidate must have the following attributes:

• At least three years web programming experience in PHP and MySQL
• Experience in e-commerce business
• Team player, well-organized with strong work ethics
• Analytical thinking, good problem solving and debugging skills
• Self-disciplined and responsible
• Dipolma or above in computer science

Position OverviewWe are seeking an experienced System Analyst to play a key role in the design and delivery of our next-generation web application platform. The ideal candidate will combine strong system analysis and design expertise with hands-on development experience in both frontend and backend technologies. This position requires not only technical proficiency in Java, ReactJS, RESTful APIs, and WebSocket implementation, but also strong leadership and communication skills to manage offshore development teams and effectively collaborate with stakeholders and developers, particularly in China. This is an excellent opportunity for a seasoned professional who thrives in a dynamic environment and enjoys bridging the gap between business requirements and technical execution.

Key Responsibilities

• Work with stakeholders to gather, analyze, and document system requirements.
• Design system architecture, data flow, and application logic for scalable web applications.
• Translate business requirements into detailed technical specifications.
• Collaborate with frontend and backend developers to ensure solution alignment.
• Review and validate technical deliverables to ensure quality, performance, and security.
• Coordinate and manage offshore development teams, ensuring project milestones are met.
• Act as a bridge between business users and technical teams, providing clear communication and guidance.

Qualifications

• 5+ years of experience in system analysis and design for enterprise web applications.
• Hands-on development experience in Java (backend) and ReactJS (frontend).
• Strong knowledge of RESTful APIs design and implementation.
• Experience with WebSocket implementation for real-time communication.
• Knowledge of database design and performance tuning.
• Proven track record of managing or working closely with offshore development teams.
• Excellent communication skills, with the ability to collaborate effectively with developers in China (Mandarin proficiency is a strong plus).
• Strong problem-solving, documentation, and technical writing skills.

Job Summary and Mission

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.

Summary of Key Responsibilities

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

Education & Experience

• 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

Technical Proficiency

• 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

Business & Interpersonal Skills

• 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

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