Onsite Data Scientist: Predictive Retention & Scoring

Seven Seven Global Services, Inc.; Makati; On-site; PHP 800,000 - 1,500,000; Full time

Job summary

Seven Seven Global Services, Inc. is seeking a Data Scientist (Mid - Senior) to develop and implement predictive models that identify customers at risk of lapsing within the next 90 days. You will analyze customer data and provide actionable insights to support retention and marketing campaigns.

The role requires hands-on ML experience, strong SQL/Python/R skills, and the ability to translate analyses into business recommendations. This is an onsite position in Makati with a morning shift.

Qualifications

• Bachelor’s degree in data science, statistics or related field.
• Experience in predictive modeling and analytics.
• Hands-on ML experience.
• Proficiency in SQL and Python or R.
• Ability to translate analyses into business insights.

Responsibilities

• Develop, validate, and deploy predictive models to identify customers at risk of lapsing.
• Analyze customer behavior, payment history, policy information, and engagement patterns.
• Apply statistical methods and machine learning techniques to improve model accuracy.
• Develop customer scoring frameworks and segment customers based on lapse risk.
• Generate customer risk scores and actionable lists for targeted retention campaigns.
• Collaborate with Marketing, Data Engineering, and IT teams to operationalize model outputs.
• Monitor model performance and continuously improve predictive accuracy.
• Analyze campaign effectiveness, customer responses, and retention outcomes.
• Prepare dashboards, reports, and presentations to communicate analytical findings.
• Ensure compliance with data privacy, security, and governance requirements.

Skills

SQL

Python

Analytics

Statistical analysis

Machine learning

Education

Bachelor's degree (Data Science/Statistics)

Tools

Python

R

SQL

Pandas

Job description

Seven Seven Global Services, Inc. is seeking a Data Scientist (Mid - Senior) to develop and implement predictive models that identify customers at risk of lapsing within the next 90 days. You will analyze customer data and provide actionable insights to support retention and marketing campaigns.

The role requires hands-on ML experience, strong SQL/Python/R skills, and the ability to translate analyses into business recommendations. This is an onsite position in Makati with a morning shift.