Healthcare Data Scientist: Predictive Analytics & Insights

AIA Hong Kong and Macau; Philippines; On-site; PHP 1,000,000 - 1,300,000; Full time

Job summary

MediCard Phils., Inc. is seeking an assertive Data Scientist to apply advanced analytics and data science methods to healthcare data, using SAS, SQL, Python, R, Power BI and Databricks to uncover actionable insights that drive strategic decisions and cost optimization.

You will design data collection, build predictive models for claims forecasting, fraud detection, member segmentation and utilization analysis, collaborate with business units, ensure data quality and regulatory compliance, and

Qualifications

• Experience applying advanced analytics and data science in healthcare.
• Design data collection strategies from internal/external sources.
• Develop predictive models for claims forecasting, fraud detection, and utilization analysis.
• Collaborate with cross-functional teams and ensure data quality and regulatory compliance.

Responsibilities

• Gather and analyze healthcare datasets to identify trends and anomalies.
• Build and validate predictive models using statistical and ML techniques.
• Leverage SAS, SQL, Python, R, Power BI, and Databricks to process data and visualize results.
• Present findings to stakeholders with clear visualizations.
• Support value-based care initiatives and cost optimization through data-driven analysis.
• Maintain documentation of methodologies and processes.

Skills

Data analysis

Statistical modeling

Machine learning

Data visualization

Tools

SAS

SQL

Python

R

Power BI

Databricks

Job description

MediCard Phils., Inc. is seeking an assertive Data Scientist to apply advanced analytics and data science methods to healthcare data, using SAS, SQL, Python, R, Power BI and Databricks to uncover actionable insights that drive strategic decisions and cost optimization.

You will design data collection, build predictive models for claims forecasting, fraud detection, member segmentation and utilization analysis, collaborate with business units, ensure data quality and regulatory compliance, and