Data Science Analyst

Responsibilities: Design, develop, test, and deploy AI-powered applications leveraging Generative AI, Large Language Models (LLMs), and intelligent agent technologies. Build and maintain enterprise AI solutions such as knowledge assistants, document intelligence platforms, conversational AI systems, and workflow automation tools. Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories, vector databases, and modern AI frameworks. Design, evaluate, and optimize prompts, agent workflows, and orchestration logic to improve AI performance, reliability, and user experience. Integrate AI services, APIs, and enterprise platforms to enable seamless adoption of AI capabilities across business functions. Collaborate with business stakeholders, technology teams, and data teams to understand requirements and translate them into scalable AI solutions. Support the end-to-end AI solution lifecycle, including evaluation, testing, monitoring, performance optimization, and governance. Apply modern software engineering practices, including source control, testing, CI/CD, and DevOps principles, to develop production-ready AI applications. Maintain and enhance existing data pipelines, data assets, and analytics solutions to support business operations, reporting requirements, advanced analytics, and AI applications, ensuring reliability, scalability, and data quality. Work closely with stakeholders to support AI and data-related BAU activities while driving continuous improvement and automation opportunities. Utilize AI-assisted development tools such as GitHub Copilot and similar technologies to improve development efficiency and innovation. Document technical designs, implementation approaches, and operational procedures to support maintainability and knowledge sharing. Stay current on emerging AI technologies, industry trends, and best practices, continuously contributing ideas and improvements to the team. Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Technology, Statistics, or a related discipline. 2-3 years of professional experience in AI engineering, software engineering, machine learning, data science, data engineering, or related technical disciplines. Proven hands-on experience developing, implementing, and deploying AI-powered applications or solutions. Experience working with Large Language Models (LLMs), Generative AI technologies, intelligent agents, or related AI solution development. Strong proficiency in Python and modern software development practices. Hands-on experience with Generative AI frameworks and AI orchestration platforms (e.g., LangChain, Microsoft Agent Framework or similar technologies). Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI evaluation techniques. Experience integrating AI services and APIs into enterprise applications. Familiarity with Azure AI Services, Azure OpenAI, Databricks, or similar cloud-based AI platforms. Understanding of AI solution architecture, deployment, monitoring, and lifecycle management. Practical experience in data engineering concepts, including ETL/ELT processes, data modelling, SQL, and data pipeline development. Experience with Git, CI/CD pipelines, and software deployment practices. Practical experience using AI-assisted development tools such as GitHub Copilot or equivalent technologies. Strong analytical and problem-solving skills. Excellent communication and stakeholder management skills. Self-motivated, curious, and passionate about emerging AI technologies. Ability to work effectively in a fast-paced and collaborative environment. Strong learning agility and willingness to experiment with new technologies. Experience in data science, machine learning, predictive analytics, advanced analytics, or statistical modelling projects would be an advantage. Knowledge of AI governance, Responsible AI practices, model risk management, or AI compliance considerations would be an advantage. Experience in insurance, financial services, or other regulated industries would be an advantage. Familiarity with deep learning frameworks such as TensorFlow or PyTorch would be an advantage. Proficiency in Cantonese and Mandarin would be an advantage. About AXA Hong Kong and Macau AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 52 markets and serving 92 million customers worldwide. Our purpose is to act for human progress by protecting what matters. As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers’ needs and leveraging and investing in technology and digital transformation. We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company. AXA is an equal opportunity employer. We are committed to promoting Inclusion and Diversity (I&D) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential. Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company. Click here to learn more about our Benefits (https://www.axa.com.hk/en/benefits), Culture (https://www.axa.com.hk/en/culture-and-values), & Career Development (https://www.axa.com.hk/en/career-development).