Assistant Data Science Manager

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, Azure, PowerBI, Machine learning techniques, Data science techniques, Data Visualization, Data Modeling, Natural Language Processing (NLP), Tableau, R Programming, Statistics, Algorithms, Mathematics

Job Description

• Join the Data Science team in one of the largest insurance companies in the world
• You will collaborate with different business units to leverage the data we have in AXA and create high quality Data Science solutions which will have significant impacts to the company
• Your technical data expertise will help on model advising and you will have great flexibility on implementing Data Science solution to various business problems
• You will consistently engage with Head / C-level stakeholders directly on your innovative idea & Data Science solutions
• Flexible working pattern, e.g. 2-day work from home per week

Responsibilities:

• Collaborate closely with different business units and communicate with them & other stakeholders about data concepts and projects with clarity
• Develop advanced Data Science solutions by leveraging machine learning & deep learning techniques
• Take charge of end-to-end AI project development
• Drive improved business decision by leveraging different Data Science applications, e.g. predictive up/cross-sell modeling, predictive underwriting, customer and agent insights, document recognition, etc.
• Develop & maintain various performance dashboards
• Leverage and interact on regular basis with Group and Regional Data Science community to get the best practices on boarded for AXA HK

Your Profile

Qualification:

• Master’s degree in Computer Science, Statistics, Actuarial, Mathematics, Physics, or similar subject
• Strong communication skill, willing to collaborate with different parties
• Deep understanding of Machine Learning concepts and algorithms (e.g. predictive modeling, clustering, Computer Vision, NLP, etc)
• Strong programming skills: Python (must), SQL (must), R
• 3+ years’ experience as data scientist/engineer or 5+ years’ experience as data analyst
• Experience in leading Data Science projects and building machine learning models
• Experience in insurance or financial services industry is a plus.
• Familiar with the visualization tools, e.g. Power BI, Tableau
• Experience in any cloud platform is a plus, e.g. Azure
• Well-organized, problem solver & fast learner
• Good team player
• Good command of business English, both in written and spoken form