145 Data Scientist jobs in Hong Kong

We provide data services to some of the biggest players in the market, helping us move their business forward. If you are interested in audiences, propensity models, and have understanding of demographics and Hong Kong behaviours then lets talk soon!

Data Science and Analytics role focused on analyzing complex datasets from multiple sources to deliver actionable insights for our clients. The role involves collaborating with team members, applying analytical techniques, and ensuring high-quality deliverables.

• Analyze and interpret complex datasets from diverse sources to provide data-driven insights for clients.
• Develop, implement, and optimize machine learning models and statistical algorithms to solve business problems.
• Stay current with advancements in Gen AI/ML, creating value with the latest technologies.
• Collaborate with cross-functional teams to understand client needs and deliver tailored data solutions.
• Ensure data quality, integrity, and consistency across multiple data sources.
• Stay updated on industry trends, particularly in the financial sector, to enhance service offerings.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Contribute to the development of scalable data processes and pipelines.

• Degree in Computer Science / Statistics or related discipline
• Minimum of 3 years of hands-on experience in data analytics, automation or advanced data solution.
• Professional certifications in data analytics (e.g., Google Advanced Data Analytics Certificate, Azure Data Scientist Associate) will be advantageous.
• Strong command of Python, SQL, ML frameworks, Airflow, statistical analysis, and experimentation.
• Strong understanding of ETL processes, data pipelines, and data integration techniques.
• Experience with cloud platforms like Azure, GCP, Databricks etc.
• Experience with data visualization tools like Data Studio, PowerBI, Tableau, Plotly, Seaborn
• Excellent problem-solving and analytical abilities.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• COMPETITIVE PACKAGE
• Comfortable working environment
• Performance Bonus
• Fun, young and energetic team with good team morale

Interested candidates please send your resume, date of availability, current and expected salary to: jobs @ hot-mob.com

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Advertising Services

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• Machine Learning Researcher | Hong Kong SAR
• Backend Python Developer (Open to Fresh Graduates)
• GenAI / AI specialist | 3 openings (Fresh grad welcome) | HKD 20K - HKD 33K per month
• Central & Western District, Hong Kong SAR 1 day ago
• Front Office Python Developer - Global Hedge Fund - Hong Kong
• Software Engineer - Python (AI Products)
• Wan Chai District, Hong Kong SAR 2 weeks ago
• Frontend Web Developer (Open to Fresh Graduates)
• Python Developer - Global Hedge Fund - HKD1.5 mil + bonus

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Direct message the job poster from Forest Hills Lab

Company Description

Forest Hills Lab (FHL) is an innovative global life sciences company dedicated to regeneration and improving well-being in our rapidly aging society. FHL has two main divisions: the Therapeutics division, which focuses on neurodegenerative diseases, and the Aesthetics division, which develops and markets aesthetics products worldwide. Our global network includes offices in the United States, Singapore, South Korea, and Hong Kong, where we are headquartered.

Role Description

This is a full-time on-site role for a Data Scientist at Forest Hills Lab, located in Hong Kong SAR. The Data Scientist will be responsible for conducting data analysis, developing and implementing data science models, performing data visualization, and analyzing statistical data to drive insights and solutions. The Data Scientist will collaborate with cross-functional teams to ensure the effective utilization of data in strategy and decision-making processes.

Qualifications

• Proficiency in Data Science and Data Analytics
• Strong skills in Data Visualization and Data Analysis
• Solid understanding of Statistics
• Excellent problem-solving and critical-thinking skills
• Experience with data modeling and machine learning techniques
• Ability to work collaboratively in a team environment
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; advanced degree preferred
• Familiarity with life sciences and healthcare industries is a plus

• Entry level

• Full-time

• Engineering and Information Technology

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Islands District, Hong Kong SAR 1 day ago

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Company Description

Super Chain utilizes artificial intelligence to streamline business operations swiftly and efficiently. By employing AI agents, Super Chain enables businesses to save time and fully control their workflows. Our technology empowers businesses to optimize their processes without compromising on quality.

Role Description

This is a full-time on-site role for a Data Scientist specializing in Natural Language Processing (NLP). The role is based in Kowloon. The Data Scientist will be responsible for day-to-day tasks including developing NLP models, analyzing data patterns, building predictive analytics, and visualizing data sets. The role requires collaboration with other data scientists and departments to enhance AI-driven solutions for business operations.

Qualifications

• Strong skills in Data Science and Data Analysis
• 100% On-site Work (Please do not apply if you are not located in Hong Kong)
• Proficiency in NLP frameworks LangChain, LangGraph, AutoGen, Transformers.
• Experience in Data Visualization techniques and tools
• Excellent problem-solving and analytical skills
• Strong programming skills in languages such as Python and R
• Ability to work collaboratively in an on-site environment in Kowloon
• Master's degree or higher in Computer Science, Data Science, Statistics, or a related field
• Experience in applying NLP techniques to real-world problems

The Company

One of the MNC groups operating in the maritime sector, providing logistics and transportation services for various bulk goods globally.

The Role

• Data Exploration and Insights
  : Analyze large-scale structured and unstructured datasets to uncover actionable insights for improving operational efficiencies, customer satisfaction, and logistics performance.
• Predictive Modeling
  : Build and deploy machine learning models to forecast shipping routes, delivery times, freight costs, and potential risks.
• Optimization
  : Develop algorithms and strategies to optimize supply chain operations, vessel utilization, route efficiency, and fuel consumption.
• Data Pipeline Development
  : Architect and maintain scalable data pipelines to collect, process, and store data from multiple sources, ensuring data quality and availability.
• Visualization & Communication
  : Create dashboards and reports to visualize data insights and communicate findings to stakeholders, non-technical teams, and senior management clearly and effectively.
• Collaborative Solutions
  : Work cross-functionally with engineering, operations, and business teams to understand requirements, design data-driven tools, and deploy solutions at scale.

Your Profile

• Education
  : Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• Technical Expertise
  : Advanced proficiency in Python and/or R, SQL, and cloud computing platforms (AWS, Azure, or GCP). Knowledge of Spark or Hadoop is an advantage.
• Machine Learning & AI
  : Strong experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch to address complex problems. Competence in natural language processing (NLP) and deep learning is a bonus.
• Data Visualization
  : Expertise in creating compelling visualizations using Tableau, Power BI, or similar tools.
• Analytics Experience
  : 3-5 years of hands-on experience in data science, preferably within the shipping, logistics, or supply chain industry.
• Mathematical Aptitude
  : Advanced knowledge of statistics, optimization techniques, and quantitative modeling.
• Problem-Solver
  : Solid ability to tackle ambiguous problems and think critically under tight deadlines.
• Soft Skills
  : Exceptional communication, teamwork, and presentation skills. Ability to simplify technical findings for business audiences.

Apply Today

To apply online (Word attachment only), please click the 'Apply' button. Please note that only short-listed candidates will be contacted.

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At HKT, we believe the power of data relying in the hands of those who know how to transform them into tangible business values. We're seeking an experienced Data Scientist to work together with our business units to identify hidden opportunities and to create incremental business values. More experienced candidates will also be considered as Senior Data Scientist.

Our ideal team member will have the mathematical, statistical and computer science expertise you'd expect, but a natural curiosity and creative mind that's not so easy to find. We will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data's full potential. You will join a team of data scientists and data engineers, and "slice and dice" data using your own methods, creating new visions for the future.

This role will support our digital healthtech and insurtech platform, and you will help to reshape and revolutionise the way people access and build sustainable health, wellness and protection.

Position overview

You are reporting to the Lead Data Scientist. You support the end to end project with your team member data scientist: from understanding the business requirements to the delivery.

Working on complex data science/analysis projects, you will also work on new PoC and R&D projects to anticipate the business needs. It will be your responsibility to support guiding of the stakeholders on the right data transformation approach, creating the models and using the tools you have. You also collaborate with product design and engineering to develop an understanding of needs, and enable smarter business processes—and implement analytics for meaningful insights

Key responsibilities

• Lead data scientist team members in the development of new insights, advanced modeling techniques, and data science capabilities. Execute analytical experiments methodically to help solve various problems and make a true impact across business units and external partners.
• Establish actionable KPIs and success metrics and ensures that there is timely and accurate reporting. You will leverages data science tools and techniques in analyzing large data-sets that will enable the development of custom models and algorithms to uncover insights, trends, and patterns in the data, Devise and utilize algorithms and models to mine big data sets, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
• Work closely with the IT team for the purpose of facilitating easy and effective access to computing and data resources within the business. Support Lead Data Scientist to identify and integrate new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets. Partner with other non-technical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Skills and Qualifications

• A master's degree or PhD in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.
• 3+ years of working experience in a data science capacity. No preference for the background sector but a first experience in Healthtech/Insurtech/Retail/FMCG/Property/Telecom is a plus. You will also have a demonstrated and successful experience leading a data science team through the implementation of new data science models, tools, and techniques that lead to improvement if business performance due to a continued culture of informed decision-making. Strong technical understanding of Martech, personalization and marketing automation is preferred.
• Extensive experience solving analytical issues through quantitative approaches and machine learning methods as well as vast experience using advanced statistical methods, data mining techniques, and information retrieval. A suitable candidate will show comfort analyzing and manipulating large, complex, high-dimensional data from numerous sources. Proficiency with data mining, mathematics, and statistical analysis. Advanced pattern recognition and predictive modeling experience
• Excellent communication skills in order to be able to tailor and convey technical messages in a clear and understandable manner, leading to business-wide improvement of data management, informed decision making, and ultimate improvement in performance.
• First experience of Deep Learning projects: NLP/computer vision, neural network. Coding abilities at least one of the following languages: Python and R
• Experience working with distributed computing tools such as Hadoop as well as experience working in a cloud environment such as AWS, Azure or GCP.

About HKT

HKT (SEHK: 6823) is Hong Kong's premier telecommunications service provider and a leading innovator. Its fixed-line, broadband, mobile communication and media entertainment services offer a unique quadruple-play experience. HKT meets the needs of the Hong Kong public and local and international businesses with a wide range of services including local telephony, local data and broadband, international telecommunications, mobile, media entertainment, enterprise solutions and other telecommunications businesses such as customer premises equipment sales, outsourcing, consulting and contact centers.

All personal data provided by candidates will be used for recruitment purposes only by HKT Services Limited in accordance with HKT's Privacy Statement, which is available on our website. Unless otherwise instructed in writing, candidates may be considered for other suitable positions within the Group (being, HKT Limited, PCCW Limited and their respective subsidiaries, affiliates and associated companies). Personal data of unsuccessful candidates will normally be destroyed 24 months after rejection of the candidate's application. If you have any questions regarding your personal data held by HKT Services Limited HKT's Privacy Statement, please feel free to contact our Privacy Compliance Officer by writing to or GPO Box 9896, Hong Kong.

Come and join a Winning Team

Be remarkable. Be yourself.

Why Should You Join Us?

At AS Watson, we believe in our people, in teamwork and the importance of your personal growth. If you are looking for the opportunity to join our award-winning international family with over 17,000 O+O stores across 30 markets in Asia and Europe, the AS Watson family welcomes you…

You can enjoy :

• Conveniently located in Whampoa, less than 5 min. walk from MTR
• Cozy office with contemporary design
• Comprehensive Medical and Life insurance coverage, including your spouse and children

Role Purpose:

We are looking for talented and impact-driven (Senior) Data Scientist to join our AI Lab. You will work on high-impact projects, solving complex business challenges through machine learning, data-driven experimentation, and innovation. Whether you are an experienced practitioner or a proven technical professional, we want to hear from you.

A typical day in this Role:

• Design, develop, and refine machine learning models to solve real-world problems using both structured and unstructured data
• Collaborate with business stakeholders to identify, scope, and prioritize ML use cases aligned with strategic goal
• Translate data science outputs into actionable business insights and clearly communicate results
• Track and optimize AI products to ensure they deliver the intended business value
• Stay current with advancements in Gen AI/ML, creating values with latest technologies

This job is a good fit for You if:

• You are a COLLABORATOR.  You explore outside resources and develop contacts that may be helpful to the team. You are high energy and outgoing.
• You are a PROBLEM SOLVER. You make decisions based on evidence-based opinions.
• You are an INQUIRER. You often ask "Why?" and quickly look for patterns to move forward with solutions. You tend to be less traditional and more willing to try new things.

Success will depend on:

• Solid knowledge and experience in various machine learning, statistical techniques, data manipulation skills, Python, SQL, and other ML libraries
• Experience with cloud platforms like Azure, GCP, Databricks etc
• Familiarity with Large Language Models (LLMs) is a plus
• Excellent analytical and problem-solving skills
• Effective communication skills to translate complex technical concepts into clear business insights
• Strong attention to detail and commitment to delivering high-quality work
• Passion for staying current in the ever-evolving field of machine learning
• Less experience would be considered as Data Scientist

What is holding you back?

Grasp this opportunity and don't let this great chance to shape your life slip away

Apply now

Interested parties, please send your resume with current and expected salary package to our Company's email.  

We are an equal opportunity employer and welcome applications from all qualified candidates. The information provided will be treated in strict confidence and be used only for consideration of your application for relevant/ similar posts within the AS Watson Group.

The Data Scientist will leverage advanced analytics and machine learning techniques to drive data-driven insights and solutions within the insurance industry.

Client Details

A large organization in the insurance industry, the company is known for its large portfolio of business. They focus on leveraging technology to enhance customer experiences and streamline operations. It offers a collaborative environment that values innovation and professional growth.

Description

As a Data Scientist, your main responsibilities will include:

• Developing and implementing machine learning models (Python) to analyze large datasets.
• Conduct exploratory data analysis and feature engineering
• Develop data pipelines and integrations.
• Identifying trends and patterns to provide actionable business insights.
• Collaborating with cross-functional teams to integrate data-driven solutions.
• Enhancing predictive analytics capabilities to improve decision-making processes.
• Automating data pipelines and ensuring data integrity for analysis.
• Communicating findings and presenting data visualizations to stakeholders.
• Staying updated on the latest advancements in data science and applying them to the insurance industry.
• Contributing to the continuous improvement of data management strategies.

Profile

A successful Data Scientist should have:

• A strong academic background in data science, computer science, statistics, or a related field.
• 4+ years in data science and machine learning
• Strong experience in developing data/ ML models from scratch
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data engineering tools (e.g., SQL, Spark, Airflow) and cloud platforms.
• Experience with Git & DevOps
• Knowledge of data visualization tools like Tableau or Power BI.
• Excellent problem-solving skills and attention to detail.
• The ability to work collaboratively in a cross- regional team environment.
• Insurance background is a plus.
• Excellence communication skills in Chinese and English with strong capability in business partnering.

Job Offer

• A competitive annual with comprehensive benefits including a 12-month salary plus performance-based bonus.
• Opportunities for career growth and development in the technology department.
• A supportive and innovative work environment with multinational culture.
• Exposure to cutting-edge tools and methodologies in data science.

If you are eager to make a significant impact in the insurance industry, apply today to join as a Data Scientist.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Eliza Lai on

Our client is a regulator in Hong Kong, they are looking for a Data Scientist with GenAI and Python experiences.

Key responsibilities:

• Conduct data science research on granular and alternative data for risk monitoring and surveillance
• Oversee, maintain, and enhance the daily operations of an internal web portal and Generative AI-powered tools
• Lead a team of programmers to automate data dashboard, database management, and model deployment.

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

Please note that only short-listed candidates will be notified. All information gathered will be treated in strict confidence and solely used for recruitment purposes.

We are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.

The systematic data group is looking for Data Scientists & Analysts to join our growing team. The team consists of content specialists, data scientists, analysts and engineers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers.

This is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.

Principal Responsibilities

• Research potential alpha sources, and present to portfolio managers and quantitative analysts
• Utilize and maintain world-class data processing and transformation engines
• Build technology tools to acquire and tag datasets
• Engage with vendors, brokers to understand characteristics of datasets
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability
• Analyze datasets to generate key descriptive statistics

Qualifications/Skills Required

• Ph.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis
• 3 + years of financial industry experience preferred
• Programming expertise in Python, C++, Java or C#
• Programming skills in SQL, PL-SQL or T-SQL
• Strong problem-solving skills
• Strong communication skills