Healthcare Data Scientist: Predictive Analytics & Insights

AIA Shared Services; Makati; On-site; PHP 800,000 - 1,400,000; Full time

Job summary

MediCard Phils., Inc. is seeking a data scientist to apply advanced analytics and data science methodologies to healthcare data, using SAS, SQL, Python, R, Power BI, and Databricks.

You will develop predictive models for claims forecasting, fraud detection, member segmentation, and utilization analysis to support value-based care and cost optimization. You will design data collection strategies, ensure data quality, collaborate with business units, present insights with clear visualizations, and

Qualifications

• Experience with healthcare analytics and data-driven decision-making.
• Strong statistical background and ability to translate data into insights.
• Experience working with cross-functional teams on analytical projects.

Responsibilities

• Data gathering & research: design data collection strategies and ensure data quality.
• Data analysis & modeling: develop predictive models for claims forecasting, fraud detection, and utilization analysis.
• Tool & platform utilization: leverage SAS, SQL, Python, R, Power BI, and Databricks for processing and visualization.
• Business collaboration: partner with BAUs teams to translate analytical needs into actionable insights.
• Strategic support: provide insights to improve utilization rates and cost optimization.
• Quality & compliance: ensure data integrity and maintain documentation for reproducibility.

Skills

Healthcare analytics

Cross-functional collaboration

Problem solving

Education

Bachelor's degree in Statistics/CS/DS

Tools

SAS

SQL

Python

R

Power BI

Databricks

Job description

MediCard Phils., Inc. is seeking a data scientist to apply advanced analytics and data science methodologies to healthcare data, using SAS, SQL, Python, R, Power BI, and Databricks.

You will develop predictive models for claims forecasting, fraud detection, member segmentation, and utilization analysis to support value-based care and cost optimization. You will design data collection strategies, ensure data quality, collaborate with business units, present insights with clear visualizations, and