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We're looking for an experienced Senior Data Scientist to design and deliver data-driven solutions that solve complex business problems and create measurable impact.Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.RequirementsWhat You'll Do❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities❏ Translate business requirements into scalable data science and machine learning solutions❏ Validate data availability and define analytical approaches for new use cases❏ Build predictive models, machine learning solutions, and GenAI applications❏ Design robust data pipelines and analytical workflows❏ Apply data processing, feature engineering, and statistical modelling techniques❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices❏ Present analytical findings and recommendations to technical and executive stakeholders❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way❏ Mentor junior team members and support technical delivery across multiple initiativesYou're Our Match If You Have❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field❏ 5+ years of hands-on experience delivering data science or machine learning solutions❏ Strong Python programming skills and experience with modern data science libraries❏ Experience building predictive models, machine learning solutions, and GenAI applications❏ Strong understanding of statistics, data modelling, and feature engineering❏ Experience designing scalable data pipelines and production-ready AI solutions❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management❏ Excellent stakeholder management and communication skills❏ Ability to translate complex technical concepts into business valueBonus Points If You Have Experience With❏ Telecommunications or other customer-centric industries❏ Large-scale customer analytics and segmentation❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)❏ Cloud platforms such as Azure, AWS, or Google Cloud❏ Databricks, Spark, or distributed data processing❏ Docker, Kubernetes, or CI/CD pipelines❏ Leading or mentoring technical teams

About the role Analytical rigor is the foundation of this position, which supports our engagement with a leading investment and technology group in their efforts to improve operational efficiency. As a Junior AI Implementation Specialist, you will help bridge the gap between technical potential and practical utility by testing and deploying tools that automate manual reporting tasks. Your work ensures that the group can maintain portfolio clarity while managing increasing volumes of data across their various holdings. About Arabian Private Holdings Arabian Private Holdings was founded on the principle that many critical business problems do not fit the traditional large firm consulting model. A board facing a succession question or a family group weighing a capital injection does not need a team of twelve associates and a hundred page methodology deck. They need experienced partners who can sit with a problem, form a rigorous view, and defend it. We take on a limited number of mandates to ensure that every client receives direct attention from the principals who are actually accountable for the outcome. Our work covers corporate strategy, governance, and operating model efficiency for some of the most significant family groups, listed corporations, and government entities. We operate as a remote firm, choosing to prioritize the quality of our analysis and the strength of our relationships over traditional office overhead. What you will do Assess specific AI tools and automated workflows to determine their suitability for the holding company operating model. Test the accuracy and performance of machine learning applications within a controlled environment before full deployment. Draft clear, sober technical documentation that explains how new tools integrate with existing client systems. Organize data sets to ensure that AI models have the necessary quality and structure to produce reliable business insights. Monitor the daily performance of implemented tools and log any deviations from the expected results. Assist in the preparation of internal reports that evaluate whether technical mandates are meeting their stated goals. Collaborate with client teams to gather requirements and identify areas where manual work can be simplified. Participate in internal reviews to form a view on which emerging technologies are worth the group's attention. What we are looking for A high degree of clarity in written communication and the ability to describe complex ideas without using jargon. Basic familiarity with AI concepts, automation platforms, or data processing tools from university projects or independent study. Strong logical reasoning skills and the ability to spot inconsistencies in data or processes. The capacity to work independently in a remote setting while maintaining high standards of output. Intellectual curiosity about how technology can improve corporate governance and strategy. Reliability in meeting deadlines and a precise approach to following technical instructions. How we work We work as a distributed team, using a remote operating model that treats professional autonomy as a core requirement. This structure allows us to focus entirely on the quality of our advice and the success of client mandates without the friction of a conventional office environment. We value honest, independent thought and expect everyone in the firm, regardless of seniority, to contribute to the rigor of our final view. Governance and mentoring are integrated into our daily interactions, ensuring that junior specialists have the chance to learn directly from principals while contributing to meaningful client outcomes. We are direct about what we can achieve, and we stay involved in every project until the results are delivered. What the role offers Direct involvement in mandates for a major investment and technology group and other significant regional entities. Mentorship from experienced principals who prioritize clarity of thought and professional growth over hierarchy. A permanent, full-time position that is paid a competitive salary for the current market. A fully remote work arrangement that offers professional flexibility and a focus on objective performance. Significant exposure to the intersection of corporate strategy, governance, and emerging technology.

Director of Artificial IntelligenceDubai - Open to local or international talentWe're partnering with a leading enterprise organisation investing heavily in Generative AI and building a new AI function to drive transformation across the business.This isn't an AI strategy or innovation role.We're looking for someone who has identified AI use cases, built the business case, and taken enterprise GenAI solutions from POC through to production, delivering measurable business value.What You'll Be DoingPartner with senior business leaders to identify high-impact AI opportunitiesOwn the AI lifecycle from Business Problem → POC → Production → ROIWork alongside AI Engineering teams to deliver enterprise AI solutionsDrive stakeholder engagement, adoption, and measurable business outcomesWhat We're Looking For✔ Enterprise GenAI delivery experience✔ Production LLM applications✔ RAG & Agentic AI✔ AI architecture and orchestration✔ Strong executive stakeholder management✔ Proven examples of AI solutions delivering real business impactExperience required:Proven experience delivering enterprise Generative AI solutions from concept through to production deployment.Strong understanding of LLMs, RAG, Agentic AI, AI orchestration frameworks, and modern AI architectures.Demonstrable experience partnering with senior business stakeholders to identify AI use cases and deliver measurable business value.Ability to articulate AI architecture, model selection, evaluation, governance, and production deployment of enterprise AI solutions.Experience within large enterprise environments, ideally across Logistics, Aviation, Retail, Real Estate, or Energy.This Role Is For You If...You can confidently explain why GenAI was the right solution, the architecture behind it, how it was deployed into production, and the commercial value it delivered.

Role: Head of AIReporting line: CTOSector: Energy / UtilitiesLocation: Abu Dhabi, UAEWe are currnetly representing a major UAE based energy and utility organisation at the forefront of the region's energy transition in recruiting a Head of AI. With large-scale operations spanning power generation, water and renewable assets, the organisation is investing significantly in digital technologies with AI capabilities and digital twin at the core of its strategy to optimise asset performance, reliability and sustainability.The Head of AI will define and lead the organisation's AI agenda across its asset portfolio. This is a build-and-scale leadership role: establishing the strategy, platform and team to bring physics-based and data-driven modelling into daily operations from predictive maintenance and process optimisation to energy efficiency and grid intelligence. The role works closely with operations, engineering, and asset management leadership.Key ResponsibilitiesStrategy & Leadership:Define the AI roadmap across generation, transmission/distribution and water assetsBuild, lead and develop a multidisciplinary team of data scientists, simulation engineers and ML engineersServe as the organisation's senior authority on industrial AI, advising executive leadership on opportunities, investments and risksApplied AI & Digital Twin Delivery:Deliver high-value AI use cases: predictive maintenance, anomaly detection, energy optimisation, demand forecasting and asset lifecycle managementEstablish MLOps practices to move models from pilot to reliable production at scaleEnsure AI solutions meet standards for explainability, safety and operational trust in critical infrastructure environments.Lead the design and deployment of asset, process and system-level digital twins across critical infrastructure.Integrate physics-based simulation, real-time operational data (SCADA, historians, IoT sensors) and machine learning into unified twin environments.Partner with OEMs, engineering firmsband technology vendors to accelerate delivery while building internal capability.Data & Platform Foundations:Shape the industrial data architecture (data historians, time-series platforms, cloud/edge infrastructure) required to support AI workloads and Digital Twin Capability.Champion data quality, governance and interoperability across OT and IT environmentsCollaborate with cybersecurity teams to ensure secure OT/IT integrationStakeholder & Value Management:Build strong partnerships with plant operations, asset management and engineering to drive adoption on the groundDefine and track the business value of the portfolio: availability gains, cost reduction, efficiency and emissions impactRepresent the organisation in industry forums and with government stakeholders on digital energy innovation Experience & Qualification: 15+ years in industrial digital technology, with 7+ years leading industrial AI, digital twin or advanced analytics programmesTrack record in the energy, utilities, oil & gas, or heavy industrial sectors ideally spanning both operations-facing and technology leadership rolesProven experience taking industrial AI/twin initiatives from concept to production at scaleExperience with major industrial platforms (e.g., AVEVA, Bentley, Siemens Xcelerator, GE Vernova, AspenTech, Cognite) and cloud environments (Azure, AWS)Strong understanding of physics-based modelling, simulation and data-driven approaches and when to use each.Solid grasp of industrial data landscapes: SCADA, historians (PI/OSIsoft), IoT, edge computing and OT/IT integrationWorking knowledge of modern ML engineering and MLOps practicesUnderstanding of cybersecurity considerations in critical infrastructure environmentsDegree in Engineering, Computer Science, Physics or a related field; advanced degree preferred

Head of AISmart ManufacturingDubai, United Arab EmiratesPermanent position, on-siteWe are looking for a Head of AI to lead the global enterprise AI agenda, for a company specialising in smart solutions for the utilities industry.RoleDefine the global AI strategyIdentify AI-driven business opportunities across the businessBuild out a Global AI Hub (foundational team already in place)Scale AI solutions across the businessCollaborate with other regions (some travel will be required)Experience required6+ years in technology leadership positionsBeen part of large AI / digital / product transformationsManaged a large team of DS & Engineers both locally and across geographicsExecutive stakeholder engagementTrack record in building AI teams or digital unitsProven background in AI in same or similar industryExperience with modern AI & Data platforms and technologiesPlease apply with your CV and let's arrange a confidential discussion.**Due to high number of applicants, only relevant profiles will be contacted**

Damac Group is hiring Senior Directors – Artificial Intelligence to lead enterprise AI deployment across a multi-vertical business spanning real estate, capital projects, and corporate platforms. This is not an innovation role. This is end-to-end AI delivery at scale.About the Role:You will own the full lifecycle of AI deployment — from identifying high-value use cases through to building, deploying, and scaling production-grade systems across the business.You will lead AI initiatives that drive real operational impact — embedding Traditional AI, Generative AI, and Agentic AI systems into live workflows across the enterprise.Key Impact Areas:Own end-to-end AI delivery — concept → build → production → scaleLead deployment of AI across Sales, Marketing, Capital Projects, and Corporate PlatformsArchitect and implement AI/ML, GenAI, and Agentic AI systems integrated into enterprise workflowsBuild and lead cross-functional AI engineering teams (Product, Data, Engineering)Establish MLOps, deployment standards, and governance frameworksDrive adoption, performance, and measurable business ROI from AI systemsWhat We’re Looking For:10–15+ years in engineering, AI, or large-scale technology deliveryProven track record deploying AI/ML systems into production at enterprise scaleStrong experience with cloud platforms (AWS, Azure, or GCP), APIs, and data pipelinesHands-on understanding of LLMs, orchestration frameworks, and MLOpsExperience leading technical teams and senior stakeholdersAbility to operate 50/50 technical and business-facingPreferred Experience:Exposure to capital projects environments (project controls, procurement, operations) is preferred but not essential.Experience embedding AI into complex, multi-system enterprise environments