What Jobs are available for Big Data Analytics 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

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. With over 2,400 consultants in 17 countries, we will generate an annual turnover of USD 300 million for the current fiscal year. Our global footprint and our expertise in more than 30 sectors and services allow us to enhance our clients' businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

In 2024 we announced our exciting partnership with Blackstone as our first financial investor since inception to support our company's continued growth. We have also been ranked by Vault as a Top 20 Consulting Firm to work for in the APAC region for 2025.

Job Description

As a consultant in data science & analytics you will work on both local and international client engagements on data science topics, including data acquisition and exploration, building relevant models, and presenting results to stakeholders.

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects:

As part of the global data science team, you will contribute to the development of various solutions designed to address our clients' needs.

Key responsibilities:

• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling as well as business development initiatives

Qualifications

• 1-3 years' experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor's or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English and Chinese (Cantonese and/or Mandarin) fluency a must
• Strong plus:
  Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus:
  Good understanding of statistical techniques and concepts
• Strong plus:
  Knowledge of Machine Learning techniques or optimization

Additional Information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in HK and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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.

In Hong Kong - Hong Kong

Looking for an innovative, agile work environment where you can have an impact on big-name companies and startups? Join Simon Kucher's service line for digital consulting projects "Elevate".

Be part of a dynamic team delivering digital growth by combining specialist knowledge in tech and data with creativity to deliver end-to-end projects with proven impact across industries.

Help businesses make informed decisions and drive growth by transforming raw data into actionable insights. Ready to boost your personal development in data science, analytics, and AI? Become a pioneer of the digital transformation and support us as a Data Science Consultant.

What makes us special:

• Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people.
• Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way.
• Enjoy balance and flexible working. Be empowered to do your best work – whether it's remotely or in the office.
• Prioritize your health and wellbeing. No matter where you live, we offer a competitive suite of health benefits to help keep you and your loved ones safe.
• Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

How you will create an impact:

• Work on solving interesting problems for clients in the space of commercial excellence, i.e., pricing, sales and go to market, or all activities related to growth topics
• Work across different industries, e.g., B2B, B2C, software, life sciences etc. in solving client's commercial problem
• Work with data, leveraging tools like Excel, Tableau, Power BI etc. to conduct deep and meaningful analyses. Draw insights to solve client's problems and give recommendations
• End-to-end ownership of workstreams within projects, which entails collecting data, conducting deep analysis, drawing insights, creating slides & engaging with stakeholders
• Contribute to the development of the Hong Kong office

Your profile:

• Degree in Computer Science, Statistics or related field would be ideal
• Experience with Python, SQL, GIT/Jira, Unix/Linux, Cloud Platforms (AWS/Azure) would be ideal
• Strong expertise in Business Analytics Modelling, BI/ Visualization Analytics (Power BI/Tableau), Business Analytics in R, Statistics with Python, Marketing Analytics
• Quick learner, inquisitive by nature, ability to learn independently
• Clear communication of highly technical material to general audience would be ideal
• A unique blend of Data Science technical understanding, deep industry expertise, and consulting experience would be most desirable
• Willingness and ability to work as part of a team

If you're interested, and if you'd like to offer your skills and commitment to our international team, then we would be pleased to receive your application.

Hit the 'Apply Now' button to begin your application

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30 countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world's leading pricing and growth specialist. simon- We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves and feel their contribution matters. If we get that right, remarkable things will happen; people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients and, of course, our business.

Your personal contact:

Melanie Weller

Melanie.-

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