Opportunities:

• Act as the technical data expertise in the team on model advising, with great flexibility on implementing state-of-the-art data science solution on your own way, to various business problems
• Your data science applications will be used to revamp the current business model, which will have a significant impact to the company & the industry
• You will consistently engage with Head / C-level stakeholders directly on your innovative idea & data science solutions
• Pioneer in the technical aspect of insurance industry with the use of sophisticated machine learning technique, e.g. customer analytics, underwriting, pricing
• Flexible working pattern, e.g. work from home
• Knowledge share among group data science community with big support

Responsibilities:

• Develop advanced AI / machine learning solutions leveraging shallow & deep learning technique for advanced analytics
• Handle end-to-end AI project development
• Drive improved business decision by leveraging different data science applications, e.g. model prediction, price sensitive analysis, AI recommendation system
• Develop & maintain various performance dashboard
• Set-up the Data science capability (incl. tools, platform and team) within the department to steer innovative project and campaign to support New Business growth over the plan period
• Assess opportunity to improve underwriting and commercial pricing using advanced Data Science tools and methodology
• Leverage and interact on regular basis with Group and Regional Data Science community to get the best practices on boarded for AXA HK Life department
• Help lead initiatives & communicate with stakeholder in driving data science revolution in traditional insurance industry

Qualification:

• 4+ years' experience as data scientist / engineer or 5+ years' experience as data analyst
• Knowledge of programming language: Python (must-have), R
• Experience in leading data science projects
• Experience in building & deploy large scale machine learning models, e.g. randomforest, xgboost, lightgbm, LSTM, Bert, etc
• Experience in any big data & cloud solution is a plus, e.g. HIVE, spark, Hadoop, Azure or AWS, etc
• Experience in API is a plus
• Candidate with less data science background but process strong data engineer knowledge is welcomed
• Strong organizational, problem solving & fast learner
• Strong communication skills to interact with senior management at local / regional / group level
• Able to work independently as well as a good team player, efficient & minimal mistake tolerance
• Good command of business English, both in written and spoken form