Job description

Data Scientist in insurance company

About our client:
Top tier international insurance company.

Job Objective

Looking for individual who is passionate about data and excellent at problem solving to join the Data Science team that develops and implements state-of-the-art classification and predictive models to solve problems identified by US Digital Acquisition and Engagement Analytics. For this role, the objective is to combine technical aptitude and a consultative approach to design, develop and deploy data analytics products which create values through implementations.

Job Responsibilities

Institutionalize end-to-end data analytics development and implementation cycle to ultimately create values to the businesses
Work with US Digital Acquisition and Engagement Analytics to understand business problems and formulate the most appropriate data analytics approach
Employ state-of-the-data machine learning algorithms to develop and validate predictive / prescriptive analytics
Implement predictive / prescriptive analytics in the manner that their effects are trackable
Work with Data Engineering to keep abreast of data ingestion and data enrichment including first and third party data
Work with Data Management and Governance to ensure full compliance of data protection and Artificial Intelligence ethics
Manage the entire predictive / prescriptive analytics life-cycle from model development to model power evaluation to model power monitoring
Lead a team of 2 or 3 data scientists and analysts


Tertiary education in Data Science, Statistics, Actuary, Applied Mathematics
Knowledge and experience in supervised and unsupervised machine learning algorithms including but not limiting to regression, decision trees, gradient boosting, k-nearest neighbor, Naive Bayes classifier, deep learning, and natural language processing/understanding
Knowledge in International Classification of Diseases (ICD)
Knowledge and experience in Python
Knowledge and experience in SQL and NoSQL
Experience in Cloud computing preferably Amazon Web Services, Sagemaker, Athena, etc.
Strong communication skill in English; additional languages an advantage

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To apply online (Word attachment only), please click the 'Apply' button. Please note that only short-listed candidates will be contacted. Reach out to Nora Li for details(

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