AXA Hong Kong, a member of the AXA Group, prides itself of serving over 1 million customers in Hong Kong and Macau. Besides being one of the largest health protection providers in Hong Kong, it is also the number 1 General Insurance provider1 and a market leader in motor insurance. AXA Hong Kong is committed...
AXA Hong Kong, a member of the AXA Group, prides itself of serving over 1 million customers in Hong Kong and Macau. Besides being one of the largest health protection providers in Hong Kong, it is also the number 1 General Insurance provider1 and a market leader in motor insurance.

AXA Hong Kong is committed to helping its customers achieve stability and prosperity through providing a comprehensive range of life, health, property and casualty protection, as well as wealth management and retirement solutions.
We believe it is our inherent responsibility to support the communities we operate in, hence creating a sustainable business via constant and considerable contribution in the dimensions of health, environment and the community.

AXA is an equal opportunity employer. We are committed to promote 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 maximize their personal potential.


1Based on 2013 Office of the Commissioner of Insurance market share statistics

Data Scientist

Job level Middle
Work exp Minimum 3 Years
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Industry Insurance / Pension Funding (MPF)
Job function Insurance > Others
Science / Lab / Research > Research & Development (R&D)
Banking / Finance > Research / Analysis
Published On 18/10/2019
ref. 19000ATM_68234

Job 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 refresh the business process, which will have a significant impact to the company & the industry
  • Gain deep knowledge in the technical aspect of insurance industry, e.g. customer analytics, underwriting, pricing
  • Flexible working pattern, e.g. work from home
  • Knowledge share among group data science community with big support

Job Responsibilities:

  • Develop advanced AI / machine learning solutions leveraging shallow & deep learning technique in cloud environment for advanced analytics
  • 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 Life BU to steer innovative project and campaign to support New Business growth over the plan period
  • Assess opportunity to improve underwriting and commercial pricing using 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 BU
  • Scope is Life BU, with a primary focus on Life product, but rapidly expanded to Medical Reimbursement product
  • Help lead initiatives & communicate with stakeholder in driving data science revolution in traditional insurance industry

Job Requirements:

  • 3+ years' experience in data science / engineer / analyst
  • Experience in leading data science projects
  • Experience in building & deploy large scale machine learning models, e.g. randomforest, xgboost, lightgbm, LSTM, 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
  • Good command of business English, both in written and spoken form