Healthcare Data Scientist - Clinical Analytics & Business Intelligence HealthHub Corporate Office |

Job Requisition ID: 180608 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day Use Data to Improve Healthcare Outcomes Across One of the UAE's Leading Healthcare Networks HealthHub, part of Al-Futtaim Health, is seeking an experienced Healthcare Data Scientist – Clinical Analytics & Business Intelligence to join our corporate team in Dubai Festival City. This role sits at the intersection of healthcare operations, advanced analytics, reporting, machine learning, and business intelligence. We are seeking a candidate who understands how hospitals, clinics, and healthcare providers operate and can transform complex healthcare data into practical insights that improve operational performance, patient outcomes, healthcare utilisation, and business decision-making. Important This position is suitable for candidates with experience working directly within: Hospitals Clinics Healthcare Groups Medical Centres Healthcare Providers Health Insurance Organisations Candidates whose experience is limited to academic research, laboratory-only analytics, or non-healthcare business intelligence environments are unlikely to be suitable for this role. About the Role The Healthcare Data Scientist will work closely with clinical leadership, finance, operations, revenue cycle management, quality teams, and executive stakeholders to deliver: Advanced healthcare reporting Predictive analytics Machine learning solutions Clinical and operational dashboards Data-driven business recommendations The successful candidate will combine strong healthcare domain knowledge with technical expertise in Power BI, Tableau, Python, SQL, and healthcare analytics. Key Responsibilities Healthcare Analytics Analyse operational, financial, clinical, claims, pharmacy, patient activity, and healthcare utilisation datasets. Develop actionable insights to improve operational performance and patient outcomes. Support performance improvement initiatives across HealthHub facilities. Business Intelligence & Reporting Design and maintain Power BI and Tableau dashboards. Develop management reports and executive-level performance summaries. Produce operational, clinical, and financial KPI reporting. Monitor trends and identify improvement opportunities. Data Science & Predictive Modelling Build and evaluate predictive models supporting healthcare operations and clinical decision-making. Support healthcare forecasting, utilisation modelling, revenue cycle analytics, and patient pathway optimisation. Apply statistical and machine learning techniques where appropriate. Data Governance Support healthcare data quality, integration, and governance initiatives. Work with healthcare standards including ICD-10, CPT, SNOMED CT, HL7, and FHIR. Ensure compliance with UAE healthcare data requirements. Essential Requirements Currently residing within the UAE. Bachelor's Degree in Data Science, Statistics, Computer Science, Health Informatics, Biomedical Engineering, or related discipline. Minimum 2 years' experience working with healthcare datasets. Experience working within: Hospitals Clinics Healthcare Groups Medical Centres Health Insurance Organisations Advanced Power BI experience. Advanced Tableau experience. Advanced SQL experience. Experience preparing executive and operational healthcare reports. Python and/or R experience. Experience working with: Clinical Data EHR Data Claims Data Revenue Cycle Data Pharmacy Data Patient Activity Data Strong stakeholder management and presentation skills. Highly Desirable Predictive modelling experience. Machine learning experience. NABIDH experience. DHA healthcare data ecosystem knowledge. Health insurance analytics experience. Revenue cycle analytics experience. Healthcare coding systems: ICD-10/11 CPT SNOMED CT HL7/FHIR About Al-Futtaim Healthcare We Hear Your Ambition. For over 90 years, the Al-Futtaim Group has been bringing the world’s leading brands of lifestyle watches, cars, home furnishings and fashion to the UAE. The Group has now introduced a whole new way of holistic healthcare through HealthHub Clinics by Al-Futtaim, its multi-speciality chain of more tha

Essential Requirements: Currently residing in the UAE. Bachelor’s Degree in Data Science, Computer Science, Statistics, Biostatistics, Biomedical Engineering, Health Informatics, or a related quantitative discipline. Minimum 2–5 years’ experience in data science. Minimum 2 years’ experience working with healthcare datasets, clinical analytics, health informatics, healthcare AI, health insurance data, or health-tech data. Proven hands-on experience building predictive models or machine learning solutions. Advanced Python or R experience for data science, machine learning, statistical modelling, feature engineering, and model evaluation. Advanced SQL experience for complex extraction, analytical dataset creation, cohort building, and healthcare data preparation. Experience working with healthcare datasets such as EHR, clinical, claims, pharmacy, laboratory, patient activity, and healthcare operational data.

Build, train, test, and evaluate predictive machine learning models for healthcare use cases. Develop models that support 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. Apply statistical and machine learning techniques such as logistic regression, survival analysis, classification, clustering, random forest, XGBoost, and other predictive modelling methods. Prepare analytical datasets using advanced SQL, including cohort building, joins, window functions, longitudinal patient data, feature engineering, and data quality checks. Work with healthcare data standards and coding systems such as ICD-10/11, CPT, SNOMED CT, LOINC, HL7, and FHIR. Support clinical decision support, predictive analytics, healthcare AI, and data governance initiatives. Collaborate with clinicians and operational stakeholders to translate data science outputs into practical healthcare workflows. Evaluate model performance using appropriate metrics such as AUC, precision, recall, F1 score, sensitivity, specificity, calibration, and explainability methods. Ensure healthcare data privacy, ethical AI use, and compliance with relevant healthcare data governance requirements.