Data Scientist

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 one of the country's leading HMO and the only HMO founded and run by Doctors. Since its inception, the concept of service-oriented total health care has been the molding ideal of MediCard. The competition is vast, and the benefits being offered by the competitors are tempting. However, MEDICard has taken the lead in providing innovative and productive ideas that cut down the cost of health maintenance without compromising its quality. MediCard now boasts of more than half a million members and over 54,000 accredited doctors in over 1,000 hospitals and clinics nationwide. It also operates 16 MediCard free-standing clinics that provide services at par with those offered by hospitals minus the confinement.

MediCard is currently looking for assertive, dynamic and energetic individuals to fill up the following vacancy: To apply advanced analytics and data science methodologies in the analysis of healthcare data, utilizing tools such as SAS, SQL, Python, R, Power BI, and modern platforms like Databricks. The goal is to uncover actionable insights that inform strategic decision-making, enhance risk assessment, and optimize costs. This role emphasizes the development of predictive models for claims forecasting, fraud detection, member segmentation, and utilization analysis. The Data Scientist will work collaboratively across business units to deliver value-driven insights and support value-based care initiatives aimed at improving utilization rates and overall healthcare outcomes.

Data Gathering & Research

• Design and implement data collection strategies from internal systems and external sources.
• Conduct exploratory research to identify relevant datasets and emerging trends in healthcare analytics.
• Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity.

Data Analysis & Modeling

• Analyze complex healthcare datasets to identify trends, patterns, and anomalies.
• Develop and validate predictive models for claims forecasting, fraud detection, member segmentation, and utilization analysis.
• Apply statistical and machine learning techniques to support data-driven decision-making.

Tool & Platform Utilization

• Leverage tools such as SAS, SQL, Python, R, Power BI, and Databricks to process, visualize, and interpret data.
• Automate data workflows and reporting processes to improve efficiency and scalability.

Business Collaboration

• Partner with various business units (BAUs) teams to understand analytical needs and translate them into actionable insights.
• Present findings and recommendations to stakeholders through clear visualizations and reports.

Strategic Support

• Contribute to value-based care initiatives by providing insights that improve utilization rates and healthcare outcomes.
• Support risk assessment and cost optimization strategies through data-driven analysis.

Quality & Compliance

• Ensure data integrity, accuracy, and compliance with healthcare regulations and standards.
• Maintain documentation of methodologies, models, and processes for transparency and reproducibility.