Healthcare Data Scientist - Machine Learning & Clinical Analytics, Dubai Festival City (AE)

Al Futtaim Group
United Arab Emirates
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Cross-functional collaboration"]

Design, develop, and evaluate machine learning models and advanced analytics to transform healthcare data into predictive insights and decision support. Build predictive models for clinical risk, patient outcomes, utilisation, readmissions, claims analytics, and care pathway improvements using EHR, claims, pharmacy, lab, and operational datasets. Work with clinical, operations, finance, IT, informatics, and compliance stakeholders while ensuring responsible AI, data privacy, and healthcare coding/interoperability standards.

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FursaFursa
Al Futtaim Group
Al Futtaim Group
2 days ago

Healthcare Data Scientist - Machine Learning & Clinical Analytics, Dubai Festival City (AE)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, develop, and evaluate machine learning models and advanced analytics to transform healthcare data into predictive insights and decision support. Build predictive models for clinical risk, patient outcomes, utilisation, readmissions, claims analytics, and care pathway improvements using EHR, claims, pharmacy, lab, and operational datasets. Work with clinical, operations, finance, IT, informatics, and compliance stakeholders while ensuring responsible AI, data privacy, and healthcare coding/interoperability standards.
Location: United Arab Emirates
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build, train, test, and evaluate predictive machine learning models for healthcare use cases.
  • •Develop models supporting clinical risk prediction, patient outcomes, utilisation, readmission risk, claims analytics, revenue cycle optimisation, and care pathway improvement.
  • •Analyse and model healthcare datasets including EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.
  • •Prepare analytical datasets using advanced SQL (cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks).
  • •Collaborate with clinicians and operational stakeholders to translate outputs into practical healthcare workflows while ensuring privacy, ethical AI use, and compliance.

Key Requirements

  • •Reside in the UAE and hold a Bachelor’s degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline.
  • •Have a minimum of 2–5 years’ experience in data science and at least 2 years working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data.
  • •Demonstrate hands-on experience building predictive models or machine learning solutions for healthcare use cases.
  • •Have advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation, plus advanced SQL for cohort building and analytical dataset creation.
  • •Understand healthcare coding/interoperability standards (ICD-10/11, CPT, SNOMED CT, LOINC, HL7, or FHIR) and communicate technical outputs to clinical and operational stakeholders.
Experience:2-5 yearsHealthcareHealth informaticsHealth-tech
Education:Bachelor's
Skills:CommunicationStakeholder managementCross-functional collaboration
Tech Stack:PythonRSQLPower BITableauPlotlyDashICD-10ICD-11CPTSNOMED CTLOINCHL7FHIR

Company Brief

Al Futtaim Group
Al-Futtaim Group is a diversified UAE conglomerate operating across automotive, retail, real estate, finance and services, representing 200+ global brands and serving customers across 20+ countries with over 40,000 employees.
Industry: Conglomerates & Holding Companies
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Bootstrapped
Headquarters: Dubai, United Arab Emirates
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