Aia

Data Scientist

Makati, PH-Mpi

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting

Apply at Aia

What you’ll work on

Full posting

Build and validate predictive models for claims forecasting and fraud detection
Analyze complex healthcare datasets to find trends, patterns and anomalies
Design and implement data collection from internal systems and external sources
Automate data workflows and reporting to improve efficiency
Present findings to stakeholders through visualizations and reports

From the employer’s posting

Develop and validate predictive models for claims forecasting, fraud detection, member segmentation, and utilization analysis.

Analyze complex healthcare datasets to identify trends, patterns, and anomalies.

Design and implement data collection strategies from internal systems and external sources.

Automate data workflows and reporting processes to improve efficiency and scalability.

Present findings and recommendations to stakeholders through clear visualizations and reports.

What you’ll bring

All qualifications

Core experience

Tools such as SAS, SQL, Python, R, Power BI and Databricks
Statistical and machine learning techniques
Ensure data integrity and compliance with healthcare regulations

Qualification wording

utilizing tools such as SAS, SQL, Python, R, Power BI, and modern platforms like Databricks

Apply statistical and machine learning techniques to support data-driven decision-making.

Ensure data integrity, accuracy, and compliance with healthcare regulations and standards.

Tools in this posting

Python
R
SAS
SQL
Databricks
Power BI

Source

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.

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.

Posting record

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Open 5 monthsWe first saw this listing 158 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: May 16, 2026 · 158 days ago
Recorded sightings: 153
Last seen by us: Oct 21, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

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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.

Source details

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Pay

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Location & working pattern

Makati, PH-Mpi

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Open source at aia.wd3.myworkdayjobs.com ↗Read the full description ↓

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