What Jobs are available for Data Science Management in Hong Kong?

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

Requirements:

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

Responsibility:

• Develop, train and deploy artificial intelligence and machine learning models to solve complex business challenges;
• Responsible for various data preprocessing activities including collection, cleansing and validation of large datasets, and transforming the data into format suitable for consumption by artificial intelligence and machine learning models;
• Conduct in-depth data analysis on large datasets, and apply statistical and machine learning algorithms for extracting meaning from data and identifying actionable insights;
• Continuously monitor model performance and iterate to improve performance and efficiency of models with a view to optimizing business function;
• Responsible for preparation and maintenance of documentations in relation to the model development throughout the model development lifecycle;
• Assist in building a compliance data warehouse and continuously expanding data scope according to the need of AML monitoring, optimizing database performance and improving data usage experience;
• Assist in management and maintenance of the compliance data warehouse, including formulating database management policy and procedure, developing and maintaining data dictionary, monitoring data quality and ensuring data security;
• Assist in data management within the department, including data accountability management, data governance, data quality and security, etc.;
• Collaborate closely with cross-functional teams and external parties including business stakeholders, inhouse IT and data scientist team and solution vendors;
• Research emerging artificial intelligence trends and models, and integrate the new techniques to enhance model capabilities

• Bachelor degree or above in Computer Science, Data Science, Financial Mathematics, Statistics, Finance, Economics, or related disciplines
• 3-5 years or above relevant experience in implementation of artificial intelligence and machine learning models; experience in Banking data management, analysis and application being an advantage (For Senior Manager, at least 8 years relevant experience)
• Proficiency in programming languages, including Python and R, and machine learning libraries
• Strong understanding of machine learning algorithms, deep learning and statistical methods
• Strong problem-solving ability with passion for analytic excellence, able to manage complex scenario challenges simultaneously and work independently and under pressure
• Experience in financial service industry or financial crime compliance domain, or possession of relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA being an advantage
• Good command of written and spoken English and Chinese

About the client

Our client is a reputable organization within the financial services with a diversify their portfolio across multiple locations and they are now seeking for a Data Science & AI Initiatives Lead to join the team

About the role

Reporting to the department head, you will oversee the delivery of innovative analytics and AI initiatives within the financial services domain. This position combines hands-on expertise in machine learning and analytical modeling with leadership in program management, ensuring that projects fulfill business needs and support organizational growth. Work closely with multidisciplinary teams to set project scope, objectives, and delivery targets for AI and data-related programs. Manage and coordinate several concurrent projects, keeping them aligned with the organization's strategy and completed on schedule and within scope. Working with different business stakeholders, you will develop clear action plans, track progress, and address risks to ensure successful outcomes across all AI and analytics efforts. Facilitate Agile practices, such as sprint planning and stand ups, while encouraging team collaboration and inclusion. Lastly, lead in designing and implementing advanced machine learning and data analytics approaches using varied data sources to improve decision-making and customer experience.

The successful applicants

• Bachelor's degree or higher in a relevant field, such as Computer Science, Data Science, or Statistics.
• At least 8 years' experience delivering data analytics or AI/ML projects, ideally in financial services.
• Advanced skills in machine learning, NLP, supervised and unsupervised modelling, and using languages such as Python or SAS.
• A strong ability to translate analytics into practical business improvements.
• Experience in Agile environments and working within collaborative teams.
• High sense of initiative and a continuous improvement mind set to drive innovation and service excellence
• Excellent communication in English and Chinese with skill in sharing technical concepts across audiences

Click "Apply Now" to apply for this position or call Karen Cheng at for a confidential discussion. All information collected will be kept in strict confidence and will be used for recruitment purpose only.

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.