- Hong Kong Hong Kong
Michael Page Hiring! Full Time Data Scientist - Retention - Churn Analytics 50-60K in Hong Kong - Ricebowl
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Job Description
Responsibilities
We are seeking a skilled Data Scientist specializing in Retention Modelling and Churn Analytics to join a leading insurance company in Hong Kong. This role focuses on leveraging data analytics to drive customer retention strategies and enhance business outcomes.
Client Details
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.
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
Profile
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
Job 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.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Name Lastname on +*************7.
Full-time,Temporary
Client Details
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.
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
Profile
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
Job 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.
To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Name Lastname on +*************7.
Full-time,Temporary
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