Jobs at Uae Job Alert

Job Overview Orient Insurance PJSC is looking for an experienced AI Product Owner – Insurance to lead the development and implementation of AI-powered products and intelligent automation solutions across the insurance value chain. The role covers areas including underwriting, claims, customer service, operations, finance, and distribution . The successful candidate will work closely with business teams, technology specialists, data scientists, engineers, and external AI vendors to identify opportunities, develop product roadmaps, and deliver AI solutions that create measurable business value. This position requires a strong combination of insurance industry knowledge, product management experience, AI expertise, technology understanding, and stakeholder management skills . Key Responsibilities 1. AI Product Strategy & Roadmap • Develop and manage the AI product vision, roadmap, and backlog. • Identify and evaluate AI use cases across insurance operations. • Prioritise initiatives based on business value, ROI, complexity, and risk. • Align AI product initiatives with overall business strategy. • Develop business cases and frameworks to measure value and outcomes. 2. AI Solution Design Work with engineering, architecture, and data science teams to define and deliver: • AI-powered workflows and automation solutions. • Agentic AI and multi-agent workflows for insurance processes. • Prompt engineering requirements. • Retrieval-Augmented Generation (RAG) solutions. • Human-in-the-loop review and control mechanisms. • Explainability and decision-making requirements. • AI-enabled business processes and customer experiences. 3. Technical & AI Leadership Provide product and technical direction across key AI technologies, including: • Large Language Models (LLMs) and Generative AI. • Agentic AI frameworks and orchestration. • LangGraph, Transformers, and Model Context Protocol (MCP). • RAG architectures and enterprise knowledge systems. • Prompt engineering and AI evaluation. • Vector databases and AI application components. • APIs, cloud technologies, and AI-enabled enterprise architecture. 4. Data, AI Governance & Risk Management Ensure AI products follow appropriate governance, security, privacy, and compliance standards. Responsibilities include: • Supporting responsible AI practices. • Establishing model governance and explainability requirements. • Managing AI-related risks and regulatory considerations. • Defining model monitoring and performance processes. • Supporting drift detection and prompt governance. • Maintaining auditability of AI systems. • Establishing appropriate human review and approval processes. 5. AI Adoption & Change Management • Drive adoption of AI solutions across business functions. • Define product KPIs and success metrics. • Monitor business performance and realised benefits. • Support training and user enablement. • Work with business leaders to integrate AI into existing operating processes. • Gather feedback and continuously improve AI products. Required Qualifications Education • Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems , or a related discipline. • A Master’s degree is preferred. Professional Experience • 8–12 years of experience in Product Management, Digital Transformation, Technology Delivery, AI Solutions, or a related field. • At least 5 years of experience in the insurance industry . • Proven experience delivering or implementing enterprise AI solutions. • Strong understanding of insurance processes and business requirements. Required Technical Skills AI & Generative AI Candidates should have practical knowledge of: • Large Language Models (LLMs). • Prompt Engineering. • Retrieval-Augmented Generation (RAG). • Agentic AI concepts. • AI orchestration frameworks. • AI evaluation methodologies. • Conversational AI. • AI governance and responsible AI practices. Key Skills • AI Product Management • Insurance Technology • Generative AI • Product Strategy • Digital Transformation • LLMs • RAG • Agentic AI • AI Governance • Stakeholder Management • Business Process Automation • Data-Driven Decision Making • Technology Delivery Why This Opportunity? This role offers an opportunity to contribute to the development of AI-driven insurance solutions and help transform traditional insurance processes through automation, intelligent decision-making, and emerging AI technologies. The AI Product Owner will play an important role in connecting business needs, insurance expertise, data, and AI technology to deliver practical solutions with measurable impact. #J-18808-Ljbffr

Uae Job Alert in Dubai is seeking an experienced Senior Data Scientist (AI & ML) to create advanced AI/ML solutions that enhance products, customer experiences, and business performance. You will work on predictive analytics, Generative AI, and data platform projects. You will collaborate with product, engineering, and business teams to translate complex data into actionable insights and design intelligent solutions that support strategic decisions. #J-18808-Ljbffr

Al-Futtaim Automotive is looking for a Data Science Manager - Finance to lead data science and advanced analytics initiatives that support financial performance, risk management, and strategic decision-making. The role involves managing data science projects, guiding a team of data scientists, developing predictive models, creating financial dashboards, and transforming complex data into actionable business insights. The successful candidate will apply machine learning, statistical analysis, predictive analytics, and financial data science techniques to solve business challenges and deliver measurable outcomes. Key Responsibilities Predictive Analytics and Machine Learning Lead the development and implementation of predictive models for financial and risk-related use cases. Work on applications such as residual value prediction, credit scoring, delinquency prediction, and collections optimization. Apply machine learning techniques to improve financial performance, forecasting, and risk management. Deliver successful data science use cases that demonstrate measurable business value. Financial Dashboards and KPI Development Develop financial KPIs, performance metrics, and risk dashboards to support business monitoring and decision-making. Use statistical analysis and data visualization techniques to present financial trends and insights clearly. Build and maintain comprehensive finance dashboards for key stakeholders. Translate complex datasets into easy-to-understand visual reports and actionable information. Financial Data Analysis and Insights Analyze financial data using advanced analytical techniques, including time series analysis, anomaly detection, and stress testing. Identify trends, risks, opportunities, and performance gaps through data-driven analysis. Generate regular actionable financial insights to support strategic planning and business decisions. Present analytical findings and recommendations to technical and non-technical stakeholders. Team and Project Leadership Lead and support a team of data scientists working on finance and analytics projects. Manage the execution of data science initiatives from problem definition through model development and implementation. Ensure analytics solutions are aligned with business objectives and financial priorities. Collaborate with finance, technology, risk, and other business teams to deliver data-driven solutions. Required Skills and Expertise Candidates should have strong knowledge of data science, machine learning, financial analytics, and predictive modeling, along with the ability to communicate technical concepts effectively. Key technical skills include: Predictive modeling using ARIMA, SARIMA, LSTM, and Prophet. Machine learning techniques such as gradient boosting, ensemble learning, and neural networks. Strong statistical analysis and financial modelling capabilities. Experience with data visualization and financial reporting. Ability to explain complex data science concepts to non-technical business stakeholders. Strong analytical, problem-solving, communication, and leadership skills. Qualifications and Experience Bachelor's degree or MSc in Financial Analytics, Computer Science, Data Science, or a related field. Minimum 5 years of experience in data science and analytics, preferably within finance or a financial services environment. Strong programming skills in Python and SQL. Experience working with Databricks and modern data science platforms. Hands‑on experience with machine learning libraries and frameworks such as scikit‑learn, TensorFlow, and PyTorch. Practical knowledge of ARIMA, SARIMA, and Prophet forecasting techniques. Experience with MLOps and Git. Proficiency in data visualization tools and libraries including Matplotlib, Seaborn, and Plotly. Career Opportunity in Dubai This Data Science Manager - Finance job in Dubai, UAE offers an opportunity to work on advanced analytics and machine learning projects within the automotive and finance environment. The role is suitable for an experienced data science professional who can combine technical expertise with financial understanding to deliver data-driven business solutions. •

Al-Futtaim Automotive is looking for a Data Science Manager - Finance to lead data science and advanced analytics initiatives that support financial performance, risk management, and strategic decision-making. The role involves managing data science projects, guiding a team of data scientists, developing predictive models, creating financial dashboards, and transforming complex data into actionable business insights. The successful candidate will apply machine learning, statistical analysis, predictive analytics, and financial data science techniques to solve business challenges and deliver measurable outcomes. Key Responsibilities Predictive Analytics and Machine Learning Lead the development and implementation of predictive models for financial and risk-related use cases. Work on applications such as residual value prediction, credit scoring, delinquency prediction, and collections optimization. Apply machine learning techniques to improve financial performance, forecasting, and risk management. Deliver successful data science use cases that demonstrate measurable business value. Financial Dashboards and KPI Development Develop financial KPIs, performance metrics, and risk dashboards to support business monitoring and decision-making. Use statistical analysis and data visualization techniques to present financial trends and insights clearly. Build and maintain comprehensive finance dashboards for key stakeholders. Translate complex datasets into easy-to-understand visual reports and actionable information. Financial Data Analysis and Insights Analyze financial data using advanced analytical techniques, including time series analysis, anomaly detection, and stress testing. Identify trends, risks, opportunities, and performance gaps through data-driven analysis. Generate regular actionable financial insights to support strategic planning and business decisions. Present analytical findings and recommendations to technical and non-technical stakeholders. Team and Project Leadership Lead and support a team of data scientists working on finance and analytics projects. Manage the execution of data science initiatives from problem definition through model development and implementation. Ensure analytics solutions are aligned with business objectives and financial priorities. Collaborate with finance, technology, risk, and other business teams to deliver data-driven solutions. Required Skills and Expertise Candidates should have strong knowledge of data science, machine learning, financial analytics, and predictive modeling, along with the ability to communicate technical concepts effectively. Key technical skills include: Predictive modeling using ARIMA, SARIMA, LSTM, and Prophet. Machine learning techniques such as gradient boosting, ensemble learning, and neural networks. Strong statistical analysis and financial modelling capabilities. Experience with data visualization and financial reporting. Ability to explain complex data science concepts to non-technical business stakeholders. Strong analytical, problem-solving, communication, and leadership skills. Qualifications and Experience Bachelor's degree or MSc in Financial Analytics, Computer Science, Data Science, or a related field. Minimum 5 years of experience in data science and analytics, preferably within finance or a financial services environment. Strong programming skills in Python and SQL. Experience working with Databricks and modern data science platforms. Hands‑on experience with machine learning libraries and frameworks such as scikit‑learn, TensorFlow, and PyTorch. Practical knowledge of ARIMA, SARIMA, and Prophet forecasting techniques. Experience with MLOps and Git. Proficiency in data visualization tools and libraries including Matplotlib, Seaborn, and Plotly. Career Opportunity in Dubai This Data Science Manager - Finance job in Dubai, UAE offers an opportunity to work on advanced analytics and machine learning projects within the automotive and finance environment. The role is suitable for an experienced data science professional who can combine technical expertise with financial understanding to deliver data-driven business solutions. •

Orient Insurance PJSC seeks an experienced AI Product Owner to lead development and implementation of AI-powered insurance products and automation across underwriting, claims, customer service, operations, finance, and distribution. You will work with business teams, data scientists, engineers, and external AI vendors to identify opportunities, build roadmaps, and deliver AI solutions with measurable business value. #J-18808-Ljbffr

Orient Insurance PJSC seeks an experienced AI Product Owner to lead development and implementation of AI-powered insurance products and automation across underwriting, claims, customer service, operations, finance, and distribution. You will work with business teams, data scientists, engineers, and external AI vendors to identify opportunities, build roadmaps, and deliver AI solutions with measurable business value. #J-18808-Ljbffr

Job description Majid Al Futtaim is seeking a Manager of BI & Insights to lead analytics across Holding/XSIGHT. You will collaborate with business units to create tailored insights, build dashboards, and drive data-driven decision making. The role reports to the Director of BI and Innovation in Dubai and requires strong leadership and a 5–7 year track record in analytics. You will work with data engineers, data scientists, and business leaders to define metrics, oversee the adoption of analytics initiatives,

HealthHub is looking for a Healthcare Data Scientist - Clinical Analytics & Business Intelligence for its corporate operations in Dubai, United Arab Emirates. This opportunity is designed for data professionals who already have practical experience working with healthcare information and understand how hospitals, clinics, medical centres, insurance organizations, or healthcare groups operate. The position combines healthcare analytics, data science, machine learning, business intelligence, reporting, and operational performance analysis. Candidates should be capable of turning complex healthcare datasets into meaningful insights that support better clinical, operational, and business decisions. Job Overview The Healthcare Data Scientist will analyze healthcare information and develop reports, dashboards, predictive models, and recommendations for different areas of the organization. The role requires collaboration with clinical leaders and teams working across operations, finance, quality, revenue cycle management, and other corporate functions. A strong combination of healthcare-domain knowledge and technical expertise is important. Candidates should be comfortable working with technologies such as Power BI, Tableau, SQL, Python, and/or R. Who Is This Position Suitable For? This vacancy is particularly relevant to candidates who have previously worked with data within healthcare environments such as: HospitalsClinicsMedical centresHealthcare groupsHealthcare providersHealth insurance organizations Candidates whose professional background is primarily in general business intelligence, academic research, or laboratory-based analytics without practical healthcare data experience may not meet the requirements of this position. Key Responsibilities Healthcare Data Analysis Analyze a variety of healthcare datasets to identify trends, performance gaps, risks, and opportunities for improvement. The datasets may include information related to: Clinical activitiesPatient visits and activityHealthcare utilizationInsurance claimsPharmacy operationsRevenue cycle performanceFinancial performanceOperational activities Translate analytical findings into practical recommendations that can help improve healthcare operations, resource utilization, service quality, and patient outcomes. Business Intelligence and Dashboard Development Develop and maintain interactive dashboards using Power BI and Tableau. Create meaningful reports for clinical, operational, financial, and management teams. Prepare executive-level performance summaries that clearly communicate important findings, trends, KPIs, and areas requiring management attention. Regularly monitor healthcare performance indicators and identify opportunities for operational improvement. Predictive Analytics and Data Science Use statistical analysis and data science methodologies to investigate complex healthcare problems. Develop, test, and evaluate predictive models that can support healthcare planning and decision-making. Analytics may support areas such as patient utilization forecasting, revenue cycle performance, healthcare demand planning, operational forecasting, and patient pathway optimization. Where appropriate, apply machine learning techniques to improve predictions and generate deeper insights from healthcare data. Clinical and Operational Performance Work with healthcare teams to understand operational challenges and determine how data can support better decisions. Provide analytical support for initiatives designed to improve patient services, healthcare utilization, operational efficiency, financial performance, and quality outcomes. Convert complex analytical findings into information that can be easily understood by both technical and non-technical stakeholders. Healthcare Data Governance Support initiatives focused on healthcare data accuracy, consistency, integration, security, and governance. Candidates should understand or have exposure to important healthcare terminology and interoperability standards, including: ICD-10, ICD-11, CPT, SNOMED CT, HL7 and FHIR. The role also requires awareness of healthcare data privacy, governance, and regulatory requirements applicable within the UAE. Essential Qualifications Applicants should hold a Bachelor’s Degree in one of the following or a closely related discipline: Data ScienceStatisticsComputer ScienceHealth InformaticsBiomedical Engineering Other relevant technical or analytical qualifications may also be considered depending on professional experience. Experience Requirements Candidates should have at least 2 years of experience working with healthcare datasets. Practical experience within a hospital, clinic, healthcare group, medical centre, healthcare provider, or health insurance organization is particularly important for this position. Applicants are also expected to be currently residing in the UAE. Technical Skills Candidates should demonstrate strong practical knowledge of: Power BITableauSQLPython and/or RHealthcare analyticsData visualizationStatistical analysisDashboard developmentExecutive reportingOperational KPI reportingData quality and governance Experience working directly with clinical data, electronic health records (EHR), insurance claims, revenue cycle information, pharmacy data, and patient activity datasets would be highly relevant. Preferred Skills and Experience Additional experience in the following areas could strengthen a candidate’s suitability: Predictive modellingMachine learningHealthcare forecastingRevenue cycle analyticsHealth insurance analyticsClinical analyticsHealthcare utilization analysisNABIDHDHA healthcare data ecosystemICD-10/ICD-11CPTSNOMED CTHL7FHIR Communication and Stakeholder Management Technical expertise alone is not enough for this position. The Healthcare Data Scientist will need to communicate analytical findings to stakeholders with different levels of technical knowledge. Strong presentation, communication, and stakeholder-management skills are therefore important. Candidates should be comfortable explaining complex data findings to clinical leaders, operations teams, finance professionals, quality teams, and senior management. Ideal Candidate Profile A strong candidate for this opportunity would combine practical healthcare experience with advanced analytical capabilities. The position may be particularly suitable for healthcare data analysts, BI professionals, health informatics specialists, or data scientists who have already worked with real-world hospital, clinic, insurance, or healthcare-provider datasets. Experience using data to solve practical healthcare problems rather than purely academic or theoretical analysis is especially relevant. Job Details Job Title: Healthcare Data Scientist - Clinical Analytics & Business IntelligenceCompany: HealthHubLocation: Dubai, United Arab EmiratesWork Location: HealthHub Corporate OfficeIndustry: HealthcareMinimum Experience: 2+ years with healthcare datasetsLocation Requirement: Candidate should currently reside in the UAEQualification: Bachelor’s Degree in a relevant discipline Important Information for Applicants Before applying, candidates should carefully review the employer’s official eligibility requirements. Pay particular attention to the requirement for previous healthcare data experience and current UAE residency. Recruitment requirements, responsibilities, and vacancy availability can change, so applicants should verify the latest information through the official employer recruitment platform before submitting an application. #J-18808-Ljbffr

Uae Job Alert in Dubai is seeking an experienced Senior Data Scientist (AI & ML) to create advanced AI/ML solutions that enhance products, customer experiences, and business performance. You will work on predictive analytics, Generative AI, and data platform projects. You will collaborate with product, engineering, and business teams to translate complex data into actionable insights and design intelligent solutions that support strategic decisions. #J-18808-Ljbffr

Job Overview Orient Insurance PJSC is looking for an experienced AI Product Owner – Insurance to lead the development and implementation of AI-powered products and intelligent automation solutions across the insurance value chain. The role covers areas including underwriting, claims, customer service, operations, finance, and distribution. The successful candidate will work closely with business teams, technology specialists, data scientists, engineers, and external AI vendors to identify opportunities, develop product roadmaps, and deliver AI solutions that create measurable business value. This position requires a strong combination of insurance industry knowledge, product management experience, AI expertise, technology understanding, and stakeholder management skills. Key Responsibilities 1. AI Product Strategy & Roadmap Develop and manage the AI product vision, roadmap, and backlog. Identify and evaluate AI use cases across insurance operations. Prioritise initiatives based on business value, ROI, complexity, and risk. Align AI product initiatives with overall business strategy. Develop business cases and frameworks to measure value and outcomes. 2. AI Solution Design Work with engineering, architecture, and data science teams to define and deliver: AI-powered workflows and automation solutions. Agentic AI and multi-agent workflows for insurance processes. Prompt engineering requirements. Retrieval-Augmented Generation (RAG) solutions. Human-in-the-loop review and control mechanisms. Explainability and decision-making requirements. AI-enabled business processes and customer experiences. 3. Technical & AI Leadership Provide product and technical direction across key AI technologies, including: Large Language Models (LLMs) and Generative AI. Agentic AI frameworks and orchestration. LangGraph, Transformers, and Model Context Protocol (MCP). RAG architectures and enterprise knowledge systems. Prompt engineering and AI evaluation. Vector databases and AI application components. APIs, cloud technologies, and AI-enabled enterprise architecture. 4. Data, AI Governance & Risk Management Ensure AI products follow appropriate governance, security, privacy, and compliance standards. Responsibilities include: Supporting responsible AI practices. Establishing model governance and explainability requirements. Managing AI-related risks and regulatory considerations. Defining model monitoring and performance processes. Supporting drift detection and prompt governance. Maintaining auditability of AI systems. Establishing appropriate human review and approval processes. 5. AI Adoption & Change Management Drive adoption of AI solutions across business functions. Define product KPIs and success metrics. Monitor business performance and realised benefits. Support training and user enablement. Work with business leaders to integrate AI into existing operating processes. Gather feedback and continuously improve AI products. Required Qualifications Education Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related discipline. A Master’s degree is preferred. Professional Experience 8–12 years of experience in Product Management, Digital Transformation, Technology Delivery, AI Solutions, or a related field. At least 5 years of experience in the insurance industry. Proven experience delivering or implementing enterprise AI solutions. Strong understanding of insurance processes and business requirements. Required Technical Skills AI & Generative AI Candidates should have practical knowledge of: Large Language Models (LLMs). Prompt Engineering. Retrieval-Augmented Generation (RAG). Agentic AI concepts. AI orchestration frameworks. AI evaluation methodologies. Conversational AI. AI governance and responsible AI practices. Key Skills AI Product Management Insurance Technology Generative AI Product Strategy Digital Transformation LLMs RAG Agentic AI AI Governance Stakeholder Management Business Process Automation Data-Driven Decision Making Technology Delivery Why This Opportunity? This role offers an opportunity to contribute to the development of AI-driven insurance solutions and help transform traditional insurance processes through automation, intelligent decision-making, and emerging AI technologies. The AI Product Owner will play an important role in connecting business needs, insurance expertise, data, and AI technology to deliver practical solutions with measurable impact.