Data Scientist

AIA Hong Kong and Macau; Manila; On-site; PHP 800,000 - 1,000,000; Full time

Job summary

MediCard Phils., Inc. in Makati, Philippines seeks a Data Scientist to apply advanced analytics and data science methodologies to healthcare data, using SAS, SQL, Python, R, Power BI and Databricks to uncover actionable insights for strategic decisions, risk assessment and cost optimization.

You will design data collection strategies, build predictive models for claims forecasting, fraud detection, member segmentation and utilization analysis, and collaborate with cross‑functional teams to

Qualifications

• Experience applying analytics and data science methods to healthcare data.
• Proficiency with SAS, SQL, Python or R for data analysis.
• Experience with visualization tools (Power BI) and analytics platforms is a plus.

Responsibilities

• Gather data from internal systems and external sources for analysis.
• Develop and validate predictive models for claims, fraud, and utilization.
• Apply statistics and ML techniques to inform decisions and cost optimization.
• Leverage SAS, SQL, Python, R, Power BI, and Databricks to process data.
• Collaborate with business units and present findings with clear visuals.
• Ensure data quality, integrity, and regulatory compliance.

Skills

SAS

SQL

Python

R

Power BI

Databricks

Job description

## Data Scientist申请locations: Makati, PH-MPItime type: Full timeposted on: 发布于 30 天前time left to apply: 结束日期:2026年6月30日 (申请时间还剩 9 天)job requisition id: JR-65065**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 1. Design and implement data collection strategies from internal systems and external sources. 2. Conduct exploratory research to identify relevant datasets and emerging trends in healthcare analytics. 3. 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.*You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.*