23 Computer Science jobs in Hong Kong

Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

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Join to apply for the Data Science, Principal role at AIA Hong Kong and Macau

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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
  

• 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.
  

• 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
  

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

• Seniority level Director

• Employment type Full-time

• Job function Education and Training
• Industries Insurance

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Kwun Tong District, Hong Kong SAR 1 month ago

Islands District, Hong Kong SAR 7 months ago

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Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Direct message the job poster from TransUnion

TransUnion's Job Applicant Privacy Notice

Personal Information We Collect

Your Privacy Choices

What We'll Bring

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring

• Master’s or PhD in statistics, applied math, financial math, computer science, or a related quantitative field; or a Bachelor’s with 3+ years of relevant experience and demonstrate a consistent track record of academic excellence.
• Minimum 10 years supporting internal/external clients, with at least 5 years in analytics, preferably in industries of Financial Services, Insurance, Fraud or Digital Marketing.
• Proven analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude; mastery with statistical programs such as R or Python.
• Experience of leading complex analytics projects with minimal supervision, collaborating across teams and directly with clients.
• Strong project and time management skills to lead multiple complex portfolios and work streams in a collaborative and fast-paced environment.
• Excellent business acumen and communication skills, including the ability to present and translate technical concepts into actionable recommendations to multiple levels, including executive audiences
• Occasional travel required.
  
  

• Serve as a subject matter expert on cross-functional teams internally and externally, driving new business initiatives and delivering long-term, value-added solutions to TransUnion customers.
• Lead the development of technical solutions to complex problems with minimal supervision.
• Act as the primary contact for strategic clients, identifying opportunities to test and adopt analytic products and services. Frequent direct engagement with client or TransUnion executives would be expected.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Provide both oversight and hands-on support in developing analytic solutions using tools like R, Python, SQL, Hive, and Spark, while formalizing repeatable processes.
• Lead research and innovation initiatives, including multi-team projects in collaboration with peers across the team.
• Represent TransUnion at industry events, seminars, and summits, or advisory boards, attend independently sponsored conferences and tradeshows on behalf of TransUnion.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion’s values.
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Financial Services, Information Services, and IT Services and IT Consulting

Referrals increase your chances of interviewing at TransUnion by 2x

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Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Join to apply for the Advisor, Data Science and Analytics role at TransUnion

Direct message the job poster from TransUnion

TransUnion's Job Applicant Privacy Notice
Personal Information We Collect
Your Privacy Choices
What We'll Bring
At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.
Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.
What You'll Bring

• Master’s or PhD in statistics, applied math, financial math, computer science, or a related quantitative field; or a Bachelor’s with 3+ years of relevant experience and demonstrate a consistent track record of academic excellence.
• Minimum 10 years supporting internal/external clients, with at least 5 years in analytics, preferably in industries of Financial Services, Insurance, Fraud or Digital Marketing.
• Proven analytical, critical thinking, and problem-solving skills with a proactive mindset.
• Advanced programming skills and aptitude; mastery with statistical programs such as R or Python.
• Experience of leading complex analytics projects with minimal supervision, collaborating across teams and directly with clients.
• Strong project and time management skills to lead multiple complex portfolios and work streams in a collaborative and fast-paced environment.
• Excellent business acumen and communication skills, including the ability to present and translate technical concepts into actionable recommendations to multiple levels, including executive audiences
• Occasional travel required.
  

• Serve as a subject matter expert on cross-functional teams internally and externally, driving new business initiatives and delivering long-term, value-added solutions to TransUnion customers.
• Lead the development of technical solutions to complex problems with minimal supervision.
• Act as the primary contact for strategic clients, identifying opportunities to test and adopt analytic products and services. Frequent direct engagement with client or TransUnion executives would be expected.
• Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
• Provide both oversight and hands-on support in developing analytic solutions using tools like R, Python, SQL, Hive, and Spark, while formalizing repeatable processes.
• Lead research and innovation initiatives, including multi-team projects in collaboration with peers across the team.
• Represent TransUnion at industry events, seminars, and summits, or advisory boards, attend independently sponsored conferences and tradeshows on behalf of TransUnion.
• Mentor and train junior team members, fostering a high-performance culture aligned with TransUnion’s values.
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Financial Services, Information Services, and IT Services and IT Consulting

Referrals increase your chances of interviewing at TransUnion by 2x

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Join to apply for the Senior Consultant, Data Science and Analytics role at TransUnion

TransUnion is actively hiring for a Senior Consultant, Data Science and Analytics . This position involves developing credit risk management and business intelligence solutions through consulting and research, serving clients across various sectors including financial services, insurance, and digital marketing.

• Bachelor’s or higher degree in a quantitative field (e.g., statistics, mathematics, computer science, engineering) with a strong academic record.
• 8+ years supporting clients, with at least 4 years in analytics, preferably in relevant industries.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive approach.
• Advanced programming skills in R or Python; experience with SQL, C/C++, Java, and platforms like Hive, Spark.
• Ability to lead complex analytics projects independently and collaborate across teams.
• Excellent project management skills and ability to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and stakeholder communication skills.
• Understanding of industry trends and customer needs to identify business opportunities.
• Ability to translate technical insights into actionable business strategies.
• Occasional travel may be required.

This role involves developing analytics solutions for credit risk management and business intelligence, collaborating with cross-functional teams to deliver predictive risk and BI tools, and mentoring junior staff. Key activities include designing data programs, delivering insights, developing proposals, and fostering client adoption of TransUnion's analytic products.

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 Agency department of AIA Insurance is seeking a skilled and results-driven Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and Power BI for data visualization, report building, and dashboard creation to drive business decisions, optimize processes, and enhance customer experiences. You will collaborate with cross-functional teams to apply data-driven insights to a range of business problems, contributing directly to the company's digital transformation in the insurance industry.



Roles and Responsibilities:

• Power BI Expertise: Proficiency in Power BI for data visualization, report building, and dashboard creation. Experience with DAX and Power Query is a plus.
• Data Handling: Strong SQL skills for querying and managing large datasets. Experience with data modeling and ETL pipelines is preferred.
• Programming Skills: Proficiency in Python or R for data analysis and automation.
• 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.

• Education: A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.

• High proficiency in Power BI, and programming languages such as Python and SQL.
• 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.

• Minimum 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.

• Strong problem-solving skills with a keen analytical mindset.
• High coding standards on analysis, models and data pipeline
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Excellent teamwork and collaboration skills in a cross-functional environment.
• Detail-oriented with the ability to maintain accuracy in high-pressure situations.
• Self-motivated and curious, always seeking opportunities for innovation and improvement.

• You are required to obtain the relevant license(s) if your job involves regulated activities

Join to apply for the Senior Consultant, Data Science and Analytics role at TransUnion

TransUnion is actively hiring for a Senior Consultant, Data Science and Analytics . This position involves developing credit risk management and business intelligence solutions through consulting and research, serving clients across various sectors including financial services, insurance, and digital marketing.

• Bachelor’s or higher degree in a quantitative field (e.g., statistics, mathematics, computer science, engineering) with a strong academic record.
• 8+ years supporting clients, with at least 4 years in analytics, preferably in relevant industries.
• Proven success in end-to-end model development for at least 4 years.
• Strong analytical, critical thinking, and problem-solving skills with a proactive approach.
• Advanced programming skills in R or Python; experience with SQL, C/C++, Java, and platforms like Hive, Spark.
• Ability to lead complex analytics projects independently and collaborate across teams.
• Excellent project management skills and ability to handle multiple initiatives in a fast-paced environment.
• Strong business acumen and stakeholder communication skills.
• Understanding of industry trends and customer needs to identify business opportunities.
• Ability to translate technical insights into actionable business strategies.
• Occasional travel may be required.

This role involves developing analytics solutions for credit risk management and business intelligence, collaborating with cross-functional teams to deliver predictive risk and BI tools, and mentoring junior staff. Key activities include designing data programs, delivering insights, developing proposals, and fostering client adoption of TransUnion's analytic products.

1 day ago Be among the first 25 applicants

Direct message the job poster from Venturenix

Our client is a leading financial institution committed to driving innovation through advanced data analytics and artificial intelligence. They are seeking a passionate and experienced Data Science Manager to lead our AI initiatives and drive the development of cutting-edge solutions.

Position Overview:

As the Data Science Manager, you will be responsible for overseeing our data science team, guiding the development of Generative AI projects, and fostering a culture of innovation. You will collaborate closely with cross-functional teams to design and implement AI-driven solutions that enhance our financial products and services.

Key Responsibilities:

• Lead and manage a team of data scientists and analysts in the development and execution of AI and machine learning projects.
• Drive innovation by leveraging Generative AI technologies to create advanced financial solutions.
• Collaborate with stakeholders to identify business needs and translate them into data-driven strategies.
• Oversee the design, development, and deployment of predictive models and algorithms.
• Ensure best practices in data management, model governance, and ethical AI use.
• Mentor and develop team members, fostering a collaborative and high-performance environment.
• Stay abreast of industry trends and advancements in AI and data science.

Qualifications:

• Master’s degree Or Master in Data Science, Computer Science, Statistics, or a related field.
• 5+ years of experience in data science, with a strong focus on machine learning and AI.
• Recent experience in Generative AI projects, with a proven track record of successful implementation.
• Strong programming skills in Python, R, or similar languages, along with experience in data visualization tools (e.g., Tableau, Power BI).
• Excellent understanding of statistical methods, data analysis, and machine learning algorithms.
• Strong leadership and communication skills, with the ability to convey complex concepts to non-technical stakeholders.
• Experience in the financial sector is a plus but not mandatory.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking

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Wong Chuk Hang, Hong Kong SAR 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

1 day ago Be among the first 25 applicants

Direct message the job poster from Venturenix

Our client is a leading financial institution committed to driving innovation through advanced data analytics and artificial intelligence. They are seeking a passionate and experienced Data Science Manager to lead our AI initiatives and drive the development of cutting-edge solutions.

Position Overview:

As the Data Science Manager, you will be responsible for overseeing our data science team, guiding the development of Generative AI projects, and fostering a culture of innovation. You will collaborate closely with cross-functional teams to design and implement AI-driven solutions that enhance our financial products and services.

Key Responsibilities:

• Lead and manage a team of data scientists and analysts in the development and execution of AI and machine learning projects.
• Drive innovation by leveraging Generative AI technologies to create advanced financial solutions.
• Collaborate with stakeholders to identify business needs and translate them into data-driven strategies.
• Oversee the design, development, and deployment of predictive models and algorithms.
• Ensure best practices in data management, model governance, and ethical AI use.
• Mentor and develop team members, fostering a collaborative and high-performance environment.
• Stay abreast of industry trends and advancements in AI and data science.

Qualifications:

• Master’s degree Or Master in Data Science, Computer Science, Statistics, or a related field.
• 5+ years of experience in data science, with a strong focus on machine learning and AI.
• Recent experience in Generative AI projects, with a proven track record of successful implementation.
• Strong programming skills in Python, R, or similar languages, along with experience in data visualization tools (e.g., Tableau, Power BI).
• Excellent understanding of statistical methods, data analysis, and machine learning algorithms.
• Strong leadership and communication skills, with the ability to convey complex concepts to non-technical stakeholders.
• Experience in the financial sector is a plus but not mandatory.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Banking

Referrals increase your chances of interviewing at Venturenix by 2x

Get notified about new Data Science Manager jobs in Hong Kong, Hong Kong SAR .

Wong Chuk Hang, Hong Kong SAR 1 month ago

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Join to apply for the (Senior) Customer Analytics & Data Science Manager (Modeling) role at Bank of China (Hong Kong)

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• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Stay highly sensitive to the latest AI trends

• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Remain highly sensitive to the latest AI trends

• Degree or above with major in Computer Science, Data Science, Information Systems, or related discipline
• 3+ years' experience in analytics, modeling, and machine learning/AI/Generative AI, with at least 1 year at managerial level
• Experience in Banking, Financial Services, or FinTech industry preferred
• Knowledge in embedding techniques, RAG, promptings, and LLM fine-tuning; involvement in search engine or recommendation system is a plus
• Experience in AI risk and control governance is a plus
• A mature self-starter with strong drive, motivation, good business sense, and understanding of the personal banking market
• Excellent interpersonal and communication skills, fluent in English and Chinese; Mandarin knowledge is advantageous

• Not Applicable

• Full-time

• Business Development and Information Technology

• Banking, Capital Markets, and Financial Services