Data Science Manager

Add expected salary to your profile for insights AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 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 Diversity and Inclusion (D&I) 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 ( , Culture ( & Career Development ( Responsibilities Support the development of different data science initiatives, including deep learning models and statistically advanced model scripts, to support data science and analytics initiatives on AI. Work on Data Science projects with different stakeholders to expand the data science discipline into the business application spectrum. Support the development of LLM-related projects, eg, Knowledge Bot, Document Understanding, etc. Support C360 Datamart enhancement and pipelines maintenance. Monitor and enhance the performance and effectiveness of existing models in production. Manage BI solution development and implementation for various MI reporting using Power BI. Deliver insights from the data visualization process from a customer-centric approach. Qualifications Bachelor's or advanced degree in relevant fields such as Data Science, Statistics, Mathematics, or related disciplines. 7-8 years of professional experience in data analytics, including roles as a statistician, analyst, or data scientist, with at least 2 years of managerial experience. Strong stakeholder management and interpersonal skills. Proven ability to mentor and develop junior team members. Experience with Azure and Databricks is a plus. Hands-on experience in RAG and agentic workflow design and implementation. Solid understanding of the end-to-end model development process, including data cleansing, feature engineering, model training, and validation, along with familiarity with underlying algorithms. Strong programming skills in Python and SQL. Web programming experience is an advantage. Prior exposure to or knowledge of the insurance industry will be an asset. Proactive, with a positive, can-do attitude. Excellent command of English; proficiency in Cantonese and Mandarin is preferred. Candidates with less experience may be considered as Assistant Manager. #J-18808-Ljbffr