Data Scientist

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 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.

At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. It's about finding new ways to not only better people's lives, but to better the communities and environments we live in. As the largest listed company on the Hong Kong Stock Exchange, we’ve been proudly making a difference for people and communities across Asia for over a century. And we build on this every day with our ambition to engage one billion people to live Healthier, Longer, Better Lives by 2030. If you work at AIA, you play an important part in this movement. Which is why we give you every opportunity to learn, grow and shape your career - your way. Inspiring and supporting you to thrive - not just at work, but in life. Believe in better with AIA.