ABOUT AXA HONG KONG AND MACAU AXA Hong Kong and Macau, a member of the AXA Group, prides itself on serving over 1.3 million customers[1] in the region. In addition to being the #1 global Property & Casualty commercial lines insurer[2], we are also one of the largest health protection providers in Hong...
ABOUT AXA HONG KONG AND MACAU

AXA Hong Kong and Macau, a member of the AXA Group, prides itself on serving over 1.3 million customers[1] in the region. In addition to being the #1 global Property & Casualty commercial lines insurer[2], we are also one of the largest health protection providers in Hong Kong and Macau.

'Empowering people to live a better life' is the goal of AXA Hong Kong and Macau, which is reflected in everything we do. We are one of the most diversified insurers, providing a full range of coverage for individual and commercial customers. We offer all-round, integrated solutions across Life, Health and Property & Casualty to address all their insurance needs.

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.

[1] Including customers of AXA China Region Insurance Company Limited, AXA China Region Insurance Company (Bermuda) Limited (incorporated in Bermuda with limited liability), and AXA General Insurance Hong Kong Limited

[2] AXA Corporate Solutions, AXA Matrix Risk Consultants, AXA Insurance Company, and AXA Art with AXA XL's insurance and reinsurance operations combined

Data Scientist

Job level Middle
Work exp Minimum 2 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)
Information Technology > Others
Published On 12/03/2020
ref. 2000028O_35509

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