What Jobs are available for Data Scientist in Hong Kong?

About LRQA

We are the leading global assurance partner, bringing together decades of unrivalled expertise in assessment, advisory, inspection and cybersecurity services. Our solutions-based partnerships are supported by data-driven insights that help our clients solve their biggest business challenges. Our award-winning compliance, supply chain, cybersecurity and ESG specialists help more than 61,000 clients across almost every sector to anticipate, mitigate and manage risk wherever they operate.

Purpose of role

Lead the technical development and optimization of our adverse media screening services by leveraging advanced data science, AI, and machine learning techniques. Stay updated on technological advancements to continuously enhance product design, risk detection accuracy, and delivery performance in a dynamic regulatory environment.

Key Responsibilities:

• Spearhead the technical roadmap for our adverse media screening solution, driving innovation and implementing cutting-edge algorithms that keep us ahead of the competition.
• Develop and fine-tune ML models and NLP systems that effectively detect and analyze adverse media across global sources, with particular focus on multi-language content and regional nuances.
• Keep a finger on the pulse of emerging technologies in AI, NLP and data science fields that could enhance our risk screening capabilities and user experience.
• Streamline data processing pipelines to handle the increasing volume and complexity of media sources without compromising on performance or accuracy.
• Work hand-in-hand with our compliance, legal and risk management teams to ensure our technical solutions address regulatory requirements and evolving risk frameworks.
• Tackle the persistent challenge of false positives by enhancing contextual understanding through advanced entity resolution and sentiment analysis techniques.
• Architect and build resilient ML infrastructure that supports real-time monitoring with minimal latency and maximum reliability.
• Champion rigorous testing methodologies and model validation processes that deliver transparency and meet regulatory standards.
• Coach and develop talent within our technical teams, fostering a culture of continuous learning and technical excellence.

Required Skills and Experience:

• Solid track record in applied data science, ML and NLP, ideally within compliance technology, or risk screening sectors.
• Hands-on experience addressing the unique challenges of adverse media analysis, including disambiguation of entities and processing text across multiple languages and sources.
• Technical proficiency in sentiment analysis, named entity recognition, classification algorithms, and anomaly detection systems.
• Strong Python development skills and practical experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Working knowledge of big data technologies and experience building systems that process information in near real-time.
• Demonstrated ability to implement transparent, explainable AI solutions that meet regulatory requirements in highly regulated industries.
• Sharp problem-solving abilities, strategic mindset, and excellent stakeholder management skills.
• Previous experience leading technical initiatives or managing technical teams in a product environment is highly desirable.

Our client, a leading investment bank, is seeking a talented and experienced Data Scientist / Data Analyst. The ideal candidate will have a strong background in data science, statistics, and business analysis, with the ability to convert complex datasets into actionable insights.

Key Responsibilities:

• Develop and implement data-driven strategies to optimize business processes and foster growth in wealth management and banking services.
• Utilize advanced statistical and machine learning techniques to analyze large datasets, uncovering meaningful trends and insights.
• Collaborate with cross-functional teams to identify critical business questions and analysis opportunities.
• Design and build predictive models to support investment decision-making, risk management, and client engagement initiatives.
• Clearly communicate findings and recommendations to senior leadership, utilizing data visualization tools and presentations.
• Lead initiatives to enhance data quality, governance, and integration across various systems and platforms.
• Stay abreast of industry trends and best practices in data science and business analytics, applying innovative solutions to gain a competitive edge.

Qualifications:

• Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or related disciplines
• Minimum of 5 years of experience in data science, business analytics, or a related field within the financial services industry.
• Proficiency in programming languages such as Python, R, or SQL, along with experience in data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
• Excellent communication and presentation skills, with a proven track record of delivering impactful recommendations to senior stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure) and big data technologies is a plus; familiarity with Snowflake is advantageous.

We're looking for a Data Scientist to support a range of AI and analytics initiatives within a fast-paced financial environment. You'll work on projects that involve data modeling, insight generation, and collaboration with cross-functional teams to support evolving business needs. This role offers the opportunity to contribute to both internal systems and future-facing solutions.

Responsibilities

• Clean, transform, and analyze large structured and unstructured datasets from internal systems
• Build and validate machine learning models for classification, regression, and clustering tasks
• Develop NLP pipelines to extract insights from internal and external knowledge bases
• Create dashboards and reporting tools to visualize model outputs and business metrics
• Collaborate with AI engineers to integrate models into production environments
• Conduct A/B testing and performance monitoring of deployed models
• Participate in workshops to support AI literacy and promote use case adoption

Qualifications

• Bachelor's degree in Data Science, Mathematics or related field
• 2–5 years of experience in data science, preferably in financial services
• Strong knowledge of Natural Language Processing, Machine Learning or Generative AI technologies
• Proficiency in Python, SQL, and machine learning libraries
• Experience with data visualization tools, e.g. Power BI, Tableau
• Strong communication and multitasking skills
• Fluency in English and Chinese

Our client, a global investment management firm, are now actively seeking a Data Scientist with expertise in utilizing cloud technologies and advanced analytics to extract events from unstructured text data. This role requires developing data-driven insights and investment strategies through the application of cutting-edge Natural Language Processing (NLP) and cloud-native technologies.

The role:

• Create, implement, and sustain NLP pipelines to identify investment-relevant events and signals from extensive unstructured text sources, including news articles, regulatory filings, and reports.
• Design and execute robust data models and analytical frameworks that support both quantitative and qualitative investment research.
• Leverage AWS (Amazon Web Services) for scalable data storage, processing, and workflow orchestration.
• Collaborate with investment analysts and other data experts to establish event taxonomies and ensure extraction aligns with business requirements.
• Perform exploratory data analysis and feature engineering to improve predictive modeling and alpha generation.
• Maintain high standards for code quality, reproducibility, and data integrity throughout the development process.
• Clearly communicate findings, methodologies, and recommendations to both technical and non-technical audiences.

What you offer:

• 3+ years of relevant experience in data science.
• Proficient in extracting events from text data using NLP techniques (both rule-based and machine learning).
• Strong skills in modeling and analysis, with expertise in supervised and unsupervised learning methods.
• Advanced programming skills in Python and a solid command of SQL for data extraction, manipulation, and pipeline integration.
• Proven experience with AWS or other leading cloud platforms in data engineering or advanced analytics settings.
• Excellent communication skills for delivering technical insights to diverse teams.
• A history of working with large datasets and deploying data products in scalable production settings.

The sell:

• Competitive salary package (base + bonus)
• Global visibility and the opportunity to work at a buy side institution

About the Role

We are seeking a visionary Data Science Manager to lead our client's advanced analytics and AI initiatives within the insurance domain. This role is ideal for a hands-on leader with deep expertise in Artificial Intelligence, Large Language Models (LLMs), Generative AI, a strong track record of deploying scalable solutions and transforming traditional insurance processes with cutting-edge AI.

Responsibilities:

• Utilize advanced statistical methods to explore large datasets, uncover trends, and create predictive models that tackle business challenges, delivering actionable insights.
• Design and implement high-impact AI use cases across the insurance value chain
• Architect and deploy LLM and Generative AI models for use cases such as document processing, chatbots, and predictive analytics
• Collaborate with business stakeholders to identify opportunities for AI integration across insurance workflows
• Oversee end-to-end model lifecycle: data ingestion, training, evaluation, deployment, and monitoring
• Ensure solutions are scalable, secure, and compliant with industry regulations
• Drive experimentation with emerging AI technologies and frameworks
• Optimize performance and cost-efficiency of models on Azure cloud infrastructure

Requirements:

• Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics). PhD candidates are encouraged to apply.
• 6+ years in data science or machine learning, with 2+ years in a leadership role
• Proven experience with LLMs (e.g., GPT, Claude, PaLM) and Generative AI applications
• Strong proficiency in Python, TensorFlow/PyTorch, and ML Ops practices
• Hands-on experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and OpenAI integration
• Deep understanding of NLP, deep learning, and model fine-tuning techniques
• Familiarity with big data technologies (Hadoop, Spark, Databricks).
• Familiarity with insurance data (claims, policies, risk models) is a strong plus
• Excellent communication and stakeholder management skills.
• Fluent in Chinese (Cantonese) and English.

We apologies that only shortlisted candidates will be contacted.

For more details, please feel free to ping me for a chat or send me an email at Please let me know if you have any referrals or if you are interested in the role.

Our client is a well-established financial institution is a highly skilled Data Scientist with expertise in Generative AI (GenAI) and Natural Language Processing (NLP) to drive innovation and deliver business value through advanced AI solutions. This role will focus on building and enhancing applications using cutting-edge frameworks and applying AI to real-world use cases. This role will start with an initial 12-month contract with potential renewal.

Responsibilities of the Role:

• Develop and implement POE RAG speech OCR solutions and connect them to in-house knowledge bases using Agentic frameworks.
• Apply NLP techniques to process and analyze text and speech data.
• Explore and integrate GenAI frameworks for application enhancement.
• Support application development and maintenance for AI-driven solutions.
• Collaborate with DevOps teams to apply DevOps practices for new features and products
• Refine and optimize dashboard data ETL processes.

Requirements of the Role

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• Proven experience in NLP, GenAI frameworks, and Agentic architectures.
• Strong understanding of OCR, speech recognition, and retrieval-augmented generation (RAG).
• Familiarity with DevOps principles and ability to apply them in AI product development.
• Proficiency in Python, TensorFlow/PyTorch, and relevant NLP libraries (e.g., Hugging Face).
• Experience in ETL pipeline optimization and dashboard refinement.
• Background in Financial Services Industry.

Interested candidates should send their CVs in Word format to

Our client is a well-established financial institution is a highly skilled Data Scientist with expertise in Generative AI (GenAI) and Natural Language Processing (NLP) to drive innovation and deliver business value through advanced AI solutions. This role will focus on building and enhancing applications using cutting-edge frameworks and applying AI to real-world use cases. This role will start with an initial 12-month contract with potential renewal.

Responsibilities of the Role:

• Develop and implement POE RAG speech OCR solutions and connect them to in-house knowledge bases using Agentic frameworks.
• Apply NLP techniques to process and analyze text and speech data.
• Explore and integrate GenAI frameworks for application enhancement.
• Support application development and maintenance for AI-driven solutions.
• Collaborate with DevOps teams to apply DevOps practices for new features and products
• Refine and optimize dashboard data ETL processes.

Requirements of the Role

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• Proven experience in NLP, GenAI frameworks, and Agentic architectures.
• Strong understanding of OCR, speech recognition, and retrieval-augmented generation (RAG).
• Familiarity with DevOps principles and ability to apply them in AI product development.
• Proficiency in Python, TensorFlow/PyTorch, and relevant NLP libraries (e.g., Hugging Face).
• Experience in ETL pipeline optimization and dashboard refinement.
• Background in Financial Services Industry.

Interested candidates should send their CVs in Word format to

We're Hiring: Data Scientist

Location:
Hong Kong or Remote |
Full-Time | Multiple Openings

Are you passionate about transforming complex data into meaningful insights that drive strategic decisions? We're looking for Data Scientists
to join our analytics and innovation team — helping us turn data into action across multiple business areas.

What You'll Do

• Build, test, and deploy data models to solve business challenges
• Analyze large datasets to uncover trends, patterns, and opportunities
• Design experiments and develop predictive or classification models
• Collaborate with cross-functional teams on data-driven projects
• Present actionable insights through dashboards, reports, and visualizations

What We're Looking For

• 2–5+ years of experience in data science, analytics, or related fields
• Proficiency in
  Python, R, SQL
  , and visualization tools (e.g., Power BI, Tableau)
• Strong understanding of statistics, machine learning, and data pipelines
• Experience with cloud environments (AWS, GCP, or Azure) is a plus
• Analytical thinker with excellent problem-solving and communication skills
• Bachelor's or Master's degree in Data Science, Computer Science, or similar

Why Join Us

• Flexible work model (remote or hybrid)
• Exposure to diverse business and industry data
• Continuous learning opportunities and mentorship
• Competitive salary with clear career progression
• Collaborative and innovative team environment

Interested in this role?

Send your resume directly to me
, and we'll be in touch if your profile fits our team's needs.

• Turn your data curiosity into impact — and shape what's next with us.

Job Description:

• The role of Data Scientist is to collect, link and analyse information modelling, geospatial data and IoT data management.
• He/she will be responsible for the development of new forms of data linking and analysis with our company Building Information Modelling (BIM) platform.
• Academic qualifications in Master level in Computer Science and applications, statistics, analytics and mathematics. For Chief Data Scientist, in addition to the above, a Doctoral Degree in BIM, data capture, platform development and A.I. is required.
• Knowledge (essential) and experience (desirable): design and development of databases, data warehouses and multidimensional databases, statistical analysis and data mining, data integration, data mapping, APIs, mobile and web applications.
• High proficiency in mainstream programming language: C/C++, C#.
• High proficiency in mainstream scripting language: JAVAScript, VBScript, Python, etc.
• Good problem-solving skills, good written and verbal communication, good organisational skills, a good team player

We welcome any passionate candidate for internship enquiries. Fields of Study Required:

• Civil and Structural Engineering
• Computer Engineering
• Computer Science
• Information Systems / Management
• Land Surveying & Geo-informatics
• Mathematics
• Building Surveying / Quantity Surveying
• Real Estate and Construction Management
• Statistics