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MÔ TẢ CÔNG VIỆC
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- Synthesize large, complex datasets to uncover trends, assess business impact, and recommend data-driven improvements.
- Design and build statistical and machine learning models to support Life Insurance use cases such as:
○ Pricing and product profitability
○ Underwriting risk assessment
○ Lapse & persistency prediction
○ Customer lifetime value (CLV)
○ Cross-sell and upsell optimization
- Build GLM-based and other statistical models aligned with Life Insurance actuarial and pricing methodologies.
- Develop explanatory, predictive, and forecasting models using descriptive and inferential statistics, regression, and machine learning techniques.
- Research, evaluate, and implement appropriate statistical and mathematical methodologies for business problems.
QUYỀN LỢI
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- Salary: Negotiable based on experience.
- Bonus: 1~10 million anyone for referring acquaintances and friends to the company.
- Working in a large and modern system, having the opportunity to enhance comprehensive technical skills.
- Become a Key Person of Project Influence, a Leader as well as a Project Manager.
- Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building.
- Having many opportunities to promote based on personal ability and range of salary.
- Accessing to various projects and the latest technology.
- Taking part in many courses such as AWS, Microservice, English, Japanese...
YÊU CẦU
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- 5+ years of industry experience in data science, analytics, or applied machine learning.
- Strong hands-on experience in the Life Insurance domain (pricing, underwriting, claims, or customer analytics).
- Solid understanding of actuarial concepts and insurance risk modeling principles.
• Extensive experience with supervised and unsupervised machine learning algorithms, including Generalized Linear Models (GLMs).
- Strong understanding of predictive and prescriptive analytics.
- Advanced experience in:
○ Data manipulation and feature engineering
○ Exploratory data analysis
○ Model development and solution design
- Strong programming experience in Python.
- Strong programming experience in SQL.
- Working knowledge of Git version control.
- Ability to communicate effectively with both technical and non-technical audiences in written, oral, and presentation formats.
- Strong problem-solving skills with the ability to multi-task and learn quickly.
- Good English Communication.
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