Data Scientist

Reporting to our Senior Manager, Customer Value Management, you will support the implementation of Data Analytics strategy in retail banking business to provide value-adding insights for increasing customer value through enhancing customer experience.

Main Responsibilities:  
•    Deliver data analytic solutions for given use cases or business problem statements
•    Develop algorithms and statistical predictive models to identify business challenges and opportunities, and support development business strategies
•    Analyze structured and unstructured data, visualize findings, discover insights and propose new business models
•    Support the analytics data model maintenance and data asset management
•    Collaborate with business users and IT to perform data analysis / data mining / GenAI adoption to support business objectives

People Specifications:

Qualifications:     -   University graduate major in data science, statistics, quantitative analysis or related discipline
Experience:     -    With at least 3 years of relevant experience, banking and financial sector will be a plus
    -    Knowledge in predictive modelling, machine learning and skillful in analytically oriented programming languages such as Python
    -    Experience with A/B testing, testing & control framework to strive for product / customer experience
    -    Experienced in AI / GenAI adoption
    -    Strong analytical mindset and problem-solving skills
    -    Good communication in both English and Cantonese, time management and work organization skills
Special Skills:     - Proficient in SQL & Python for data management and analysis skills