Jobs at AlFuttaim

Position OverviewData Analytics Manager in Dubai UAE with Al-Futtaim supports insurance analytics and business intelligence initiatives by transforming complex data into actionable insights. The role focuses on predictive modeling, pricing optimization, risk analysis, and data governance to improve underwriting performance, claims management, and customer lifecycle outcomes.Country: UAE City: Dubai Industry: Insurance Function: Analyst Salary: monthly (Market estimated) Gender: Any Candidate Nationality: Any Job Type: Full-timeKey ResponsibilitiesBuild and lead a high-performing team of data analysts and data scientists focused on insurance analytics and advanced modelingDevelop and implement an enterprise analytics roadmap supporting property and casualty insurance business goalsDesign predictive models for customer churn analysis, fraud detection, and risk segmentationCollaborate closely with underwriting, actuarial, and product teams to ensure analytics models align with regulatory requirements and business strategyMaintain strong data governance practices ensuring accuracy and reliability of policyholder and claims dataDevelop executive dashboards and reporting tools to track business KPIs such as combined ratio, retention rates, and new policy growthLead development of advanced analytics models including machine learning algorithms and generalized linear models for pricing and risk assessmentManage insurance data lakes and large-scale datasets used for actuarial analysis and business intelligenceTranslate complex analytical insights into practical recommendations for business leadersIdentify opportunities to enhance customer lifecycle management through data-driven strategiesIdeal ProfileEight or more years of experience in data analytics, business intelligence, or data science roles within the insurance sectorStrong knowledge of predictive modeling, machine learning, and advanced statistical analysis techniquesExperience working with insurance datasets such as claims history, policyholder data, and catastrophe modeling dataAbility to collaborate with underwriting, actuarial, and product teams on data-driven decision makingStrong analytical thinking and ability to communicate insights to business stakeholdersSkills SetPredictive analytics and statistical modelingMachine learning and risk analytics for insuranceData lake architecture and big data processingBusiness intelligence dashboards and KPI reportingCloud data platforms such as AWS, Azure, or Google CloudData governance and data quality managementAdvanced analytics tools and programming for large datasetsWhy Join UsOpportunity to lead advanced analytics initiatives within a leading regional insurance organizationWork on high-impact projects including pricing optimization, fraud detection, and risk analyticsCollaborative environment integrating data science with insurance operationsExposure to enterprise data platforms and cloud analytics infrastructureCompetitive compensation and strong career development opportunitiesAbout the CompanyOrient Insurance Company is a leading insurance provider in the UAE and part of the Al-Futtaim Group. Established in 1982, the company has built a strong reputation for financial stability and customer-focused insurance services across the Middle East. With its headquarters in Dubai and an extensive network of branches across the UAE and the Gulf region, Orient Insurance continues to deliver innovative insurance products and risk solutions for individuals and businesses.

Al-Futtaim in Dubai seeks a Manager Data Science - Finance to lead analytics initiatives across finance, risk, and performance. You will drive predictive modeling, financial analytics, KPI dashboards, and data science leadership to deliver actionable insights for strategic decisions.The role requires 5 years in data science with a finance focus; you will mentor a team of data scientists, implement ARIMA/LSTM models, and translate complex results for business stakeholders while ensuring #J-18808-Ljbffr

Al-Futtaim in Dubai seeks a Manager Data Science - Finance to lead analytics initiatives across finance, risk, and performance. You will drive predictive modeling, financial analytics, KPI dashboards, and data science leadership to deliver actionable insights for strategic decisions.The role requires 5 years in data science with a finance focus; you will mentor a team of data scientists, implement ARIMA/LSTM models, and translate complex results for business stakeholders while ensuring #J-18808-Ljbffr

Al-Futtaim Healthcare is hiring a Healthcare Data Scientist - Machine Learning to build and validate predictive models using real-world healthcare data. The role focuses on transforming outputs into improvements in patient care, operational performance and financial decision-making within HealthHub Clinics in Dubai.The ideal candidate will work with clinicians, operations, finance, IT and compliance teams, owning model development end-to-end while ensuring explainability and integration into #J-18808-Ljbffr

Al-Futtaim Healthcare is hiring a Healthcare Data Scientist - Machine Learning to build and validate predictive models using real-world healthcare data. The role focuses on transforming outputs into improvements in patient care, operational performance and financial decision-making within HealthHub Clinics in Dubai.The ideal candidate will work with clinicians, operations, finance, IT and compliance teams, owning model development end-to-end while ensuring explainability and integration into #J-18808-Ljbffr

Healthcare Data Scientist - Machine Learning Job Snapshot Role: Healthcare Healthcare Data Scientist - Machine Learning Location: Dubai, United Arab Emirates Industry: Hospital & Health Care Function: Science / R&D Experience: 2-5 years Job Type: Full-time Position Overview The Healthcare Data Scientist - Machine Learning role in Dubai, United Arab Emirates is a specialist Hospital & Health Care opportunity focused on predictive modeling, clinical analytics and responsible artificial intelligence. Al-Futtaim Healthcare is hiring a hands-on data scientist to build models from real healthcare datasets and convert their outputs into practical improvements in patient care, operational performance and financial decision-making. Job Details Country: United Arab Emirates City: Dubai Industry: Hospital & Health Care Function: Science / R&D Salary: 18000-30000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time Role Context Based at the HealthHub Corporate Office in Dubai Festival City, this position advances the organization from retrospective reporting toward predictive and prescriptive healthcare analytics. The Data Scientist will work with clinicians, medical directors, operations, finance, information technology, health informatics and compliance teams. The role requires personal ownership of model development, validation, explainability and translation into healthcare workflows rather than dashboard-only reporting.Key ResponsibilitiesBuild, train, test and evaluate machine-learning models for clinical and operational healthcare use cases.Develop prediction solutions for patient risk, clinical outcomes, utilization and hospital readmission.Apply advanced analytics to claims, revenue-cycle performance and care-pathway with electronic health records, pharmacy, laboratory, claims and patient-activity data from clinical, financial and operational systems into analysis-ready advanced SQL to create patient cohorts, longitudinal records and complex data extracts.Perform joins, window functions, feature engineering and systematic data-quality checks.Select appropriate statistical or machine-learning techniques for each healthcare problem.Apply methods such as logistic regression, survival analysis, classification and clustering.Develop ensemble models using random forest, XGBoost and other suitable algorithms.Define training, validation and testing approaches that reduce bias and data leakage.Measure model performance through AUC, precision, recall, F1 score, sensitivity and specificity.Evaluate calibration and confirm whether predictions remain reliable across relevant patient groups.Apply SHAP, LIME or comparable methods to explain model behavior and individual predictions.Collaborate with clinicians to assess the practical and clinical relevance of model outputs.Translate validated insights into decision-support processes and operational workflows.Work with ICD-10, ICD-11, CPT, SNOMED CT, LOINC, HL7 and FHIR data concepts.Support healthcare artificial intelligence, data-governance and clinical decision-support patient privacy and comply with ethical artificial-intelligence and data-residency requirements.Document assumptions, features, limitations, evaluation findings and model versions.Present complex analytical results clearly to clinical, operational, finance and executive audiences.Use suitable visualization tools to communicate patterns, predictions and recommended actions.Monitor implemented models and recommend recalibration or redevelopment when performance changes.Ideal Profile Candidates must currently reside in the UAE and hold a bachelor 's degree in data science, computer science, statistics, biostatistics, biomedical engineering, health informatics or another relevant quantitative discipline. A master 's degree or PhD in a closely related field will be advantageous. Applicants should have two to five years of data-science experience, including at least two years working with healthcare datasets, clinical analytics, healthcare artificial intelligence, health informatics, health insurance or health technology. Demonstrable experience developing predictive models with Python or R and advanced SQL is essential. The strongest candidates will have worked in a hospital, clinic network, healthcare group, insurer or clinical analytics environment. Familiarity with DHA requirements, NABIDH, Malaffi, UAE data-residency rules or clinical decision-support systems will be particularly valuable. Dashboard development or descriptive reporting alone does not satisfy the modeling requirements of this role.Skills SetPythonRAdvanced SQLPredictive modelingStatistical modelingMachine learningFeature engineeringPatient cohort developmentLongitudinal healthcare data analysisLogistic regressionSurvival analysisClassification and clusteringRandom forestXGBoostModel validation and calibrationAUC, precision, recall and F1 evaluationSHAP and LIME explainabilityElectronic health record analyticsClaims and revenue-cycle analyticsPharmacy and laboratory dataICD-10 and ICD-11CPT and SNOMED CTLOINC, HL7 and FHIRHealthcare data governanceEthical artificial intelligencePower BI, Tableau, Plotly or DashClinical stakeholder communicationWhy Join UsThis role provides access to real-world healthcare challenges and the opportunity to shape predictive analytics across a growing clinical network. The successful candidate will work directly with medical, operational and executive stakeholders while developing solutions that can influence patient pathways, resource use and clinical decisions. The package includes competitive compensation, medical insurance, professional development and long-term career opportunities within an established UAE healthcare the CompanyAl-Futtaim Healthcare operates HealthHub Clinics, a multidisciplinary network of more than 20 clinics offering over 25 specialties across Dubai. The organization combines clinical services, diagnostics and coordinated outpatient care with an expanding focus on healthcare technology and data-informed decision-making. As part of Al-Futtaim Group, HealthHub applies structured quality standards and evidence-based practices throughout its patient services. #J-18808-Ljbffr

Healthcare Data Scientist - Machine Learning Job Snapshot Role: Healthcare Healthcare Data Scientist - Machine Learning Location: Dubai, United Arab Emirates Industry: Hospital & Health Care Function: Science / R&D Experience: 2-5 years Job Type: Full-time Position Overview The Healthcare Data Scientist - Machine Learning role in Dubai, United Arab Emirates is a specialist Hospital & Health Care opportunity focused on predictive modeling, clinical analytics and responsible artificial intelligence. Al-Futtaim Healthcare is hiring a hands-on data scientist to build models from real healthcare datasets and convert their outputs into practical improvements in patient care, operational performance and financial decision-making. Job Details Country: United Arab Emirates City: Dubai Industry: Hospital & Health Care Function: Science / R&D Salary: 18000-30000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time Role Context Based at the HealthHub Corporate Office in Dubai Festival City, this position advances the organization from retrospective reporting toward predictive and prescriptive healthcare analytics. The Data Scientist will work with clinicians, medical directors, operations, finance, information technology, health informatics and compliance teams. The role requires personal ownership of model development, validation, explainability and translation into healthcare workflows rather than dashboard-only reporting.Key ResponsibilitiesBuild, train, test and evaluate machine-learning models for clinical and operational healthcare use cases.Develop prediction solutions for patient risk, clinical outcomes, utilization and hospital readmission.Apply advanced analytics to claims, revenue-cycle performance and care-pathway with electronic health records, pharmacy, laboratory, claims and patient-activity data from clinical, financial and operational systems into analysis-ready advanced SQL to create patient cohorts, longitudinal records and complex data extracts.Perform joins, window functions, feature engineering and systematic data-quality checks.Select appropriate statistical or machine-learning techniques for each healthcare problem.Apply methods such as logistic regression, survival analysis, classification and clustering.Develop ensemble models using random forest, XGBoost and other suitable algorithms.Define training, validation and testing approaches that reduce bias and data leakage.Measure model performance through AUC, precision, recall, F1 score, sensitivity and specificity.Evaluate calibration and confirm whether predictions remain reliable across relevant patient groups.Apply SHAP, LIME or comparable methods to explain model behavior and individual predictions.Collaborate with clinicians to assess the practical and clinical relevance of model outputs.Translate validated insights into decision-support processes and operational workflows.Work with ICD-10, ICD-11, CPT, SNOMED CT, LOINC, HL7 and FHIR data concepts.Support healthcare artificial intelligence, data-governance and clinical decision-support patient privacy and comply with ethical artificial-intelligence and data-residency requirements.Document assumptions, features, limitations, evaluation findings and model versions.Present complex analytical results clearly to clinical, operational, finance and executive audiences.Use suitable visualization tools to communicate patterns, predictions and recommended actions.Monitor implemented models and recommend recalibration or redevelopment when performance changes.Ideal Profile Candidates must currently reside in the UAE and hold a bachelor 's degree in data science, computer science, statistics, biostatistics, biomedical engineering, health informatics or another relevant quantitative discipline. A master 's degree or PhD in a closely related field will be advantageous. Applicants should have two to five years of data-science experience, including at least two years working with healthcare datasets, clinical analytics, healthcare artificial intelligence, health informatics, health insurance or health technology. Demonstrable experience developing predictive models with Python or R and advanced SQL is essential. The strongest candidates will have worked in a hospital, clinic network, healthcare group, insurer or clinical analytics environment. Familiarity with DHA requirements, NABIDH, Malaffi, UAE data-residency rules or clinical decision-support systems will be particularly valuable. Dashboard development or descriptive reporting alone does not satisfy the modeling requirements of this role.Skills SetPythonRAdvanced SQLPredictive modelingStatistical modelingMachine learningFeature engineeringPatient cohort developmentLongitudinal healthcare data analysisLogistic regressionSurvival analysisClassification and clusteringRandom forestXGBoostModel validation and calibrationAUC, precision, recall and F1 evaluationSHAP and LIME explainabilityElectronic health record analyticsClaims and revenue-cycle analyticsPharmacy and laboratory dataICD-10 and ICD-11CPT and SNOMED CTLOINC, HL7 and FHIRHealthcare data governanceEthical artificial intelligencePower BI, Tableau, Plotly or DashClinical stakeholder communicationWhy Join UsThis role provides access to real-world healthcare challenges and the opportunity to shape predictive analytics across a growing clinical network. The successful candidate will work directly with medical, operational and executive stakeholders while developing solutions that can influence patient pathways, resource use and clinical decisions. The package includes competitive compensation, medical insurance, professional development and long-term career opportunities within an established UAE healthcare the CompanyAl-Futtaim Healthcare operates HealthHub Clinics, a multidisciplinary network of more than 20 clinics offering over 25 specialties across Dubai. The organization combines clinical services, diagnostics and coordinated outpatient care with an expanding focus on healthcare technology and data-informed decision-making. As part of Al-Futtaim Group, HealthHub applies structured quality standards and evidence-based practices throughout its patient services. #J-18808-Ljbffr

Healthcare Data Scientist - Clinical AI Analytics in Dubai, United Arab Emirates is a Hospital and Health Care opportunity focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support.Al-Futtaim is hiring an experienced data professional to transform complex clinical, insurance, pharmacy, financial, and operational datasets into actionable insights that improve patient outcomes, healthcare efficiency, and strategic decision-making.Job DetailsCountry: United Arab EmiratesCity: DubaiIndustry: Hospital and Health CareFunction: Mathematical-Statistical ResearchExperience: 2 to 5 yearsSalary: 18000-28000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.Gender: AnyCandidate Nationality: AnyJob Type: Full-timeRole ContextThe Healthcare Data Scientist will work across Al-Futtaim Health 's growing data ecosystem to develop analytical solutions that support physicians, operational teams, finance stakeholders, and healthcare leadership. The role combines healthcare domain knowledge with data science, machine learning, statistical modelling, and business intelligence. Using Electronic Health Records, insurance claims, pharmacy information, clinical records, and operational datasets, the successful candidate will develop models and decision-support tools that help identify risks earlier, improve care delivery, optimize resources, and strengthen healthcare performance. The position also supports responsible adoption of artificial intelligence within clinical workflows, requiring strong attention to data quality, patient privacy, governance, interoperability, and UAE healthcare regulations.Key ResponsibilitiesDevelop predictive models that support clinical decision-making and healthcare operations.Build machine learning solutions for disease prediction, patient risk identification, and outcome forecasting.Create models that assess hospital or clinic readmission risk.Develop length-of-stay prediction and patient risk-stratification methodologies.Evaluate model accuracy, reliability, bias, and performance using appropriate statistical and evidence-based techniques.Refine existing analytical models as new healthcare data becomes available.Integrate and analyze datasets from Electronic Health Records, insurance claims, pharmacy systems, clinical platforms, and operational sources.Work with large and complex healthcare datasets while maintaining accuracy, traceability, and data integrity.Support data quality improvement initiatives and identify incomplete, inconsistent, or unreliable data.Contribute to healthcare data governance standards and documentation.Work with EHR platforms and healthcare information systems to support analytical use cases.Support healthcare interoperability initiatives involving NABIDH and other data exchange environments.Develop dashboards and visualizations for clinical leaders, executives, operational teams, and finance stakeholders.Analyze patient activity, insurance, financial, operational, and healthcare performance data.Produce clear insights that support service planning, clinical quality, operational efficiency, and management decision-making.Support revenue cycle optimization through healthcare data analysis.Identify patterns in claims, utilization, patient behavior, and operational workflows that may improve financial or clinical performance.Develop AI-powered healthcare applications and decision-support solutions.Collaborate with physicians and clinical leaders to translate analytical findings into practical healthcare workflows.Support innovation initiatives involving predictive analytics, clinical AI, machine learning, and healthcare automation.Apply healthcare coding and terminology standards when developing analytical models and data structures.Ensure analytical work complies with DHA requirements and applicable UAE healthcare data regulations.Follow privacy, confidentiality, ethical data-use, and responsible AI practices.Document model assumptions, methodologies, data sources, validation results, and analytical outputs.Communicate complex analytical findings in clear language for healthcare and business stakeholders.Ideal ProfileBachelor 's Degree in Data Science, Computer Science, Statistics, Biomedical Engineering, Health Informatics, or another quantitative discipline.Minimum 2 to 5 years of professional Data Science experience.At least 2 years of experience working with healthcare, clinical, insurance, or health informatics datasets.Practical experience developing predictive models and machine learning solutions.Demonstrated ability to analyze large and complex datasets.Advanced Python or R programming capability.Advanced SQL and database querying skills.Experience with statistical modelling, machine learning algorithms, and model validation.Strong data visualization and reporting capability.Experience using Power BI, Tableau, Plotly, Dash, or comparable visualization platforms.Knowledge of healthcare coding systems such as ICD-10, ICD-11, CPT, SNOMED CT, and LOINC.Familiarity with healthcare interoperability standards including HL7 and FHIR.Master 's Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field is advantageous.Experience within hospitals, clinics, healthcare groups, health insurance, or health technology organizations is highly desirable.Exposure to clinical AI, healthcare economics analytics, claims analytics, revenue cycle analytics, or predictive healthcare modelling is beneficial.Familiarity with NABIDH, Malaffi, DHA healthcare ecosystems, and UAE health data requirements is preferred.Strong analytical reasoning with the ability to explain technical findings to non-technical stakeholders.Comfortable collaborating with physicians, healthcare executives, technology teams, and business functions.Skills SetHealthcare data scienceClinical analyticsPredictive modellingMachine learningArtificial intelligenceClinical AIPythonR programmingSQLStatistical analysisRisk stratificationDisease predictionReadmission risk modellingPatient outcome forecastingLength-of-stay modellingElectronic Health RecordsEHR dataHealthcare claims analyticsInsurance data analyticsPharmacy dataClinical datasetsHealthcare data integrationHealthcare data governanceData quality managementPower BITableauPlotlyDashData visualizationExecutive dashboardsRevenue cycle analyticsHealth economics analyticsICD-10ICD-11CPTSNOMED CTLOINCHL7FHIRNABIDHMalaffiDHA healthcare regulationsHealthcare interoperabilityResponsible AIHealthcare data privacyModel validationDecision support systemsHealthcare automationWhy Join UsThis role provides the opportunity to work at the intersection of healthcare, artificial intelligence, analytics, and clinical decision support within a growing Hospital and Health Care environment. The successful candidate will gain exposure to real-world healthcare datasets spanning clinical records, insurance claims, pharmacy activity, patient journeys, financial performance, and operational workflows. This breadth creates opportunities to develop analytical solutions that can directly influence care quality, resource utilization, revenue performance, and patient outcomes. Al-Futtaim 's continued investment in healthcare technology and digital innovation also gives the role strong long-term development potential. The position offers meaningful collaboration with physicians, healthcare leaders, finance teams, and technology specialists while contributing to AI-enabled healthcare initiatives across the UAE.About the CompanyAl-Futtaim is a diversified, privately held regional business headquartered in Dubai, United Arab Emirates, with operations across automotive, financial services, real estate, retail, and healthcare. Established in the 1930s, the group employs more than 35000 people across over 20 countries in the Middle East, Asia, and Africa. Through Al-Futtaim Health and its HealthHub Clinics network, the organization continues to invest in modern healthcare delivery, advanced diagnostics, digital platforms, data-driven decision-making, clinical innovation, and patient-centered services.

Healthcare Data Scientist - Clinical AI Analytics in Dubai, United Arab Emirates is a Hospital and Health Care opportunity focused on predictive modelling, machine learning, clinical analytics, healthcare data integration, and AI-driven decision support. Al-Futtaim is hiring an experienced data professional to transform complex clinical, insurance, pharmacy, financial, and operational datasets into actionable insights that improve patient outcomes, healthcare efficiency, and strategic decision-making. Job Details - Country: United Arab Emirates • City: Dubai • Industry: Hospital and Health Care • Function: Mathematical-Statistical Research • Experience: 2 to 5 years • Salary: 18000-28000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. • Gender: Any • Candidate Nationality: Any • Job Type: Full-time Role Context The Healthcare Data Scientist will work across Al-Futtaim Health 's growing data ecosystem to develop analytical solutions that support physicians, operational teams, finance stakeholders, and healthcare leadership. The role combines healthcare domain knowledge with data science, machine learning, statistical modelling, and business intelligence. Using Electronic Health Records, insurance claims, pharmacy information, clinical records, and operational datasets, the successful candidate will develop models and decision-support tools that help identify risks earlier, improve care delivery, optimize resources, and strengthen healthcare performance. The position also supports responsible adoption of artificial intelligence within clinical workflows, requiring strong attention to data quality, patient privacy, governance, interoperability, and UAE healthcare regulations. Key Responsibilities - Develop predictive models that support clinical decision-making and healthcare operations. • Build machine learning solutions for disease prediction, patient risk identification, and outcome forecasting. • Create models that assess hospital or clinic readmission risk. • Develop length-of-stay prediction and patient risk-stratification methodologies. • Evaluate model accuracy, reliability, bias, and performance using appropriate statistical and evidence-based techniques. • Refine existing analytical models as new healthcare data becomes available. • Integrate and analyze datasets from Electronic Health Records, insurance claims, pharmacy systems, clinical platforms, and operational sources. • Work with large and complex healthcare datasets while maintaining accuracy, traceability, and data integrity. • Support data quality improvement initiatives and identify incomplete, inconsistent, or unreliable data. • Contribute to healthcare data governance standards and documentation. • Work with EHR platforms and healthcare information systems to support analytical use cases. • Support healthcare interoperability initiatives involving NABIDH and other data exchange environments. • Develop dashboards and visualizations for clinical leaders, executives, operational teams, and finance stakeholders. • Analyze patient activity, insurance, financial, operational, and healthcare performance data. • Produce clear insights that support service planning, clinical quality, operational efficiency, and management decision-making. • Support revenue cycle optimization through healthcare data analysis. • Identify patterns in claims, utilization, patient behavior, and operational workflows that may improve financial or clinical performance. • Develop AI-powered healthcare applications and decision-support solutions. • Collaborate with physicians and clinical leaders to translate analytical findings into practical healthcare workflows. • Support innovation initiatives involving predictive analytics, clinical AI, machine learning, and healthcare automation. • Apply healthcare coding and terminology standards when developing analytical models and data structures. • Ensure analytical work complies with DHA requirements and applicable UAE healthcare data regulations. • Follow privacy, confidentiality, ethical data-use, and responsible AI practices. • Document model assumptions, methodologies, data sources, validation results, and analytical outputs. • Communicate complex analytical findings in clear language for healthcare and business stakeholders. Ideal Profile - Bachelor 's Degree in Data Science, Computer Science, Statistics, Biomedical Engineering, Health Informatics, or another quantitative discipline. • Minimum 2 to 5 years of professional Data Science experience. • At least 2 years of experience working with healthcare, clinical, insurance, or health informatics datasets. • Practical experience developing predictive models and machine learning solutions. • Demonstrated ability to analyze large and complex datasets. • Advanced Python or R programming capability. • Advanced SQL and database querying skills. • Experience with statistical modelling, machine learning algorithms, and model validation. • Strong data visualization and reporting capability. • Experience using Power BI, Tableau, Plotly, Dash, or comparable visualization platforms. • Knowledge of healthcare coding systems such as ICD-10, ICD-11, CPT, SNOMED CT, and LOINC. • Familiarity with healthcare interoperability standards including HL7 and FHIR. • Master 's Degree or PhD in Health Data Science, Biostatistics, Computational Biology, Data Science, or a related field is advantageous. • Experience within hospitals, clinics, healthcare groups, health insurance, or health technology organizations is highly desirable. • Exposure to clinical AI, healthcare economics analytics, claims analytics, revenue cycle analytics, or predictive healthcare modelling is beneficial. • Familiarity with NABIDH, Malaffi, DHA healthcare ecosystems, and UAE health data requirements is preferred. • Strong analytical reasoning with the ability to explain technical findings to non-technical stakeholders. • Comfortable collaborating with physicians, healthcare executives, technology teams, and business functions. Skills Set - Healthcare data science • Clinical analytics • Predictive modelling • Machine learning • Artificial intelligence • Clinical AI • Python • R programming • SQL • Statistical analysis • Risk stratification • Disease prediction • Readmission risk modelling • Patient outcome forecasting • Length-of-stay modelling • Electronic Health Records • EHR data • Healthcare claims analytics • Insurance data analytics • Pharmacy data • Clinical datasets • Healthcare data integration • Healthcare data governance • Data quality management • Power BI • Tableau • Plotly • Dash • Data visualization • Executive dashboards • Revenue cycle analytics • Health economics analytics • ICD-10 • ICD-11 • CPT • SNOMED CT • LOINC • HL7 • FHIR • NABIDH • Malaffi • DHA healthcare regulations • Healthcare interoperability • Responsible AI • Healthcare data privacy • Model validation • Decision support systems • Healthcare automation Why Join Us This role provides the opportunity to work at the intersection of healthcare, artificial intelligence, analytics, and clinical decision support within a growing Hospital and Health Care environment. The successful candidate will gain exposure to real-world healthcare datasets spanning clinical records, insurance claims, pharmacy activity, patient journeys, financial performance, and operational workflows. This breadth creates opportunities to develop analytical solutions that can directly influence care quality, resource utilization, revenue performance, and patient outcomes. Al-Futtaim 's continued investment in healthcare technology and digital innovation also gives the role strong long-term development potential. The position offers meaningful collaboration with physicians, healthcare leaders, finance teams, and technology specialists while contributing to AI-enabled healthcare initiatives across the UAE. About the Company Al-Futtaim is a diversified, privately held regional business headquartered in Dubai, United Arab Emirates, with operations across automotive, financial services, real estate, retail, and healthcare. Established in the 1930s, the group employs more than 35000 people across over 20 countries in the Middle East, Asia, and Africa. Through Al-Futtaim Health and its HealthHub Clinics network, the organization continues to invest in modern healthcare delivery, advanced diagnostics, digital platforms, data-driven decision-making, clinical innovation, and patient-centered services.