(Junior) Data Scientist - Insurance, Customer AI Analytic (50k)

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

The role of Data Scientist - Customer Lifetime Value & Predictive Analytics focuses on leveraging advanced analytics to drive data‑driven insights and solutions within the insurance industry. This position requires expertise in predictive modeling and customer analytics to support business decisions.

Client Details

The employer is a medium‑sized organization within the insurance industry, recognized for its focus on innovation and customer‑centric solutions. They are committed to fostering a culture of analytical excellence and empowering their teams to deliver impactful results.

Description

• Enhance and expand predictive modelling capabilities by incorporating new data sources and refining existing features to improve model accuracy, robustness, and coverage
• Develop, refresh, and optimise churn prediction models to ensure continued alignment with evolving business needs and customer behaviours
• Deploy models into a cloud‑based production environment, establishing automated pipelines to deliver scalable, reliable, and timely scoring outputs
• Design, build, and maintain monitoring frameworks and dashboards to track model performance, detect degradation, and inform continuous model improvement
• Create interpretable, customer‑level risk indicators across behavioural and financial dimensions to support targeted retention campaigns

Profile

• A strong academic background in data science, statistics, mathematics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience working with machine learning algorithms and predictive analytics tools.
• Knowledge of data visualization techniques and tools.
• An analytical mindset with the ability to interpret complex data and provide actionable recommendations.
• Excellent communication and collaboration skills to work with diverse teams.
• A passion for leveraging data to drive business decisions in the insurance industry.

Job Offer

• New developed team
• 15 days of annual leave for a healthy work‑life balance.
• Potential opportunities for growth and learning.
• A supportive and professional company culture in the insurance industry.