Data Scientist - Retention & Churn Analytics 50-60K

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 446,400 - 669,600; Full time

Benefits offered by this job

Competitive monthly salary and benefits package

Opportunity for skill development

Career progression in technology department

Job summary

Michael Page International (Hong Kong) Limited is seeking a data scientist to enhance churn and retention prediction models in Hong Kong. The role involves building models, deploying them in a cloud environment, and collaborating with various stakeholders to align priorities.

Ideal candidates will have strong Python, SQL, and Databricks skills, along with a background in customer analytics and model monitoring. The position offers competitive salary and growth opportunities in a collaborative tech-driven environment.

Qualifications

• Proven experience developing classification or risk-scoring models in production.
• Strong Python and SQL skills with hands-on Databricks experience.
• Solid background in feature engineering across customer and financial data.
• Experience deploying models using cloud platforms and automated pipelines.
• Familiar with model monitoring, drift detection and performance evaluation.
• Able to explain model drivers clearly to non-technical stakeholders.
• Background in churn, retention or customer lifecycle analytics.
• Insurance, life & savings or financial services exposure is an advantage.
• Comfortable working independently across build, stabilization and BAU phases.

Responsibilities

• Build, refresh and enhance churn and retention prediction models across the full lifecycle.
• Engineer and expand features using behavioural, transactional and intermediary datasets.
• Deploy and automate models in a cloud environment with scalable data pipelines.
• Produce customer-level risk scores and interpretable indicators for campaign usage.
• Develop dashboards to monitor model accuracy, drift and ongoing performance.
• Translate analytical outputs into actionable insights for retention initiatives.
• Embed model outputs into operational and campaign management workflows.
• Continuously improve models to reflect changing customer behaviour and data structures.
• Collaborate with business, marketing and technology stakeholders to align priorities.

Skills

Classification or risk-scoring models

Python

SQL

Databricks

Feature engineering

Cloud platforms

Model monitoring

Drift detection

Customer lifecycle analytics

Job description

About Our Client

Our client is a well‑established, large organization within the insurance industry, known for its focus on innovation and customer‑centric solutions. It provides a collaborative working environment with a strong emphasis on leveraging technology to optimize business operations.

Job Description

• Build, refresh and enhance churn and retention prediction models across the full lifecycle
• Engineer and expand features using behavioural, transactional and intermediary datasets
• Deploy and automate models in a cloud environment with scalable data pipelines
• Produce customer‑level risk scores and interpretable indicators for campaign usage
• Develop dashboards to monitor model accuracy, drift and ongoing performance
• Translate analytical outputs into actionable insights for retention initiatives
• Embed model outputs into operational and campaign management workflows
• Continuously improve models to reflect changing customer behaviour and data structures
• Collaborate with business, marketing and technology stakeholders to align priorities

The Successful Applicant

• Proven experience developing classification or risk‑scoring models in production
• Strong Python and SQL skills with hands‑on Databricks experience
• Solid background in feature engineering across customer and financial data
• Experience deploying models using cloud platforms and automated pipelines
• Familiar with model monitoring, drift detection and performance evaluation
• Able to explain model drivers clearly to non‑technical stakeholders
• Background in churn, retention or customer lifecycle analytics
• Insurance, life & savings or financial services exposure is an advantage
• Comfortable working independently across build, stabilisation and BAU phases

What's on Offer

• Competitive monthly salary and benefits package.
• Opportunity to work in a large organization within the insurance industry.
• Collaborative and technology‑driven work environment in Hong Kong.
• Potential for skill development and career progression in the technology department.

If you are passionate about data science and eager to make an impact in the insurance industry, we encourage you to apply for this exciting opportunity in Hong Kong.