Healthcare Data Scientist: AI & Predictive Analytics

Al-Futtaim; Dubai; On-site; AED 250,000 - 350,000; Full time

Benefits offered by this job

Competitive salary

Dubai Festival City corporate office

Job summary

Al-Futtaim Health in Dubai seeks a Healthcare Data Scientist to join our corporate team. You will design, develop, and deploy advanced analytics to improve patient outcomes, operational performance, and strategic decision-making across UAE healthcare networks.

You will work with EHR, insurance, pharmacy, and operational data, building predictive models and AI-driven decision support while collaborating with clinicians and IT partners to embed insights into workflows.

Qualifications

• Bachelor's degree in data science, CS, statistics, or related field.
• 2–5 years of data science experience in healthcare data.
• Experience building predictive models and machine learning solutions.
• Experience working with large healthcare datasets.
• Familiarity with healthcare data standards like EHR, NABIDH, HL7/FHIR is desirable.

Responsibilities

• Develop predictive models to support clinical decision-making and healthcare operations.
• Build ML models for disease prediction, readmission risk, patient outcomes, and length-of-stay analysis.
• Integrate and analyze healthcare datasets from multiple sources.
• Create dashboards and data visualisations for executives and operational teams.
• Collaborate with physicians and healthcare leaders to embed data-driven insights into clinical workflows.

Skills

Python

SQL

Machine Learning

Data Visualization

Education

Data Science

Computer Science

Statistics

Health Informatics

Biomedical Engineering

Tools

Power BI

Tableau

Plotly Dash

Job description

Al-Futtaim Health in Dubai seeks a Healthcare Data Scientist to join our corporate team. You will design, develop, and deploy advanced analytics to improve patient outcomes, operational performance, and strategic decision-making across UAE healthcare networks.

You will work with EHR, insurance, pharmacy, and operational data, building predictive models and AI-driven decision support while collaborating with clinicians and IT partners to embed insights into workflows.