Data Scientist: CLV & Predictive Analytics

Leadingnation; Hong Kong; On-site; HKD 400,000 - 600,000; Full time

Benefits offered by this job

15 days of annual leave

Opportunities for growth and learning

Supportive company culture

Job summary

Leadingnation in Hong Kong is seeking a Data Scientist specializing in Customer Lifetime Value & Predictive Analytics. This role involves leveraging advanced analytics to drive insights within the insurance sector, focusing on predictive modeling and customer analytics.

The successful candidate will enhance modeling capabilities, develop churn prediction models, and deploy them in a cloud-based environment. A strong academic background in data science and proficiency in Python or R are essential. Join a culture dedicated to innovation and impactful results.

Qualifications

• Strong background in data science or related field.
• Experience with machine learning algorithms.
• Proficiency in Python, R, or SQL.
• Knowledge of data visualization techniques.

Responsibilities

• Enhance predictive modeling capabilities with new data sources.
• Develop and optimize churn prediction models.
• Deploy models into a cloud-based production environment.
• Create monitoring frameworks for model performance.
• Design customer-level risk indicators for retention campaigns.

Skills

Predictive modeling

Customer analytics

Python

R

SQL

Machine learning

Data visualization

Analytical mindset

Communication skills

Education

Academic background in data science, statistics, mathematics, or related field

Job description

Leadingnation in Hong Kong is seeking a Data Scientist specializing in Customer Lifetime Value & Predictive Analytics. This role involves leveraging advanced analytics to drive insights within the insurance sector, focusing on predictive modeling and customer analytics.

The successful candidate will enhance modeling capabilities, develop churn prediction models, and deploy them in a cloud-based environment. A strong academic background in data science and proficiency in Python or R are essential. Join a culture dedicated to innovation and impactful results.