Your AI career in the UAE starts here

Job Purpose: Support the Artificial Intelligence and Data Science Center by contributing to AI use case development, dashboard design, and model validation. Assist in requirements analysis, technical evaluations, testing, and project documentation to ensure effective delivery of AI solutions. Participate in monitoring industry trends, collaborating with suppliers, and attending events and training workshops. Strengthen project outcomes by applying AGILE practices and supporting ongoing improvements to departmental processes.Job Qualifications & Requirements:Education: Bachelor/master’s degree in computer scienceExperience: 0+ years in case of master’s degree (2+ years in case of bachelor’s degree)

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**

Company DescriptionInsilico Medicine is a clinical-stage biotechnology company harnessing the power of generative AI to revolutionize drug discovery and development. Leveraging innovative AI platforms built on deep generative models, reinforcement learning, and other advanced machine learning techniques, the company specializes in discovering novel drug targets and designing molecular structures with desired properties. Insilico Medicine focuses on creating groundbreaking solutions for a range of diseases, including cancer, fibrosis, autoimmune diseases, and aging-related conditions. Their mission is to accelerate the development of innovative therapies, bridging the gap between biology, chemistry, and clinical trials.Role DescriptionWe are seeking a full-time Machine Learning Engineer to join our team on-site at our Abu Dhabi office. The successful candidate will design, develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will be writing production-level Python code, run ML-related experiments, integrate new functionalities, work with foundation models. The candidate will also provide technical support to the DevOps team in running the ML infrastructure and perform intrateam MLOps. Place of workLevel 6, Unit 08, Block A, IRENA HQ Building Masdar City, Abu Dhabi United Arab Emirates Reports toTeam Lead in CheminformaticsResponsibilitiesDevelop and maintain the internal machine learning (ML) pipeline at the production level to support cutting-edge drug discovery initiatives.Optimize, refactor, and debug existing code in Python to enhance performance, scalability, and efficiency. Deploy ML models into the platform for real-world applications in chemistry and biology. Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness.Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement. General Requirements:  I.             EducationBachelor’s degree/Master’s degree/PhD degree in a Machine Learning related field.II.          Experience and SkillsStrong background in machine learning (ML) with practical application experience. 4+ years of experience in Python production-level development. Proficiency with coding standards such as PEP8, Google style guide, or similar best practices. Experience with NoSQL databases, such as MongoDB. Experience working with Linux or other Unix-based operating systems.Proficiency in version control systems like Git. Hands-on experience with Python numerical and machine learning libraries such as Numpy, Pandas, PyTorch, and Scikit-learn.Solid understanding of object-oriented programming (OOP), design patterns, and software architecture best practices. A proactive attitude, strong problem-solving skills, and a commitment to continuous learning.III.       Preferred Skills Experience with deep learning (DL) frameworks and techniques. Familiarity with RDKit for cheminformatics and Plotly for data visualization.  Hands-on experience with a range of ML/DL methods such as Transformers, RNNs, CNNs, GNNs, and Gradient Boosting. Expertise in feature engineering and optimization techniques. Knowledge of cheminformatics and the drug discovery process. Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies. Experience in programming with C++ is an advantage

Fitch Learning is a leader in financial services training. With unrivaled breadth and depth, the company delivers learning solutions for apprentices, graduates, and those with 10+ years’ experience in Financial Services. Our offerings include expert faculty, e-learning, coaching, and blended assessments, improving individual and collective business performance.Working at Fitch Learning provides the opportunity to be part of a global leader in financial education, committed to delivering cutting-edge training solutions. You'll collaborate with a team of experts dedicated to empowering professionals with the skills and knowledge needed to excel in the finance industry. By joining us, you'll be at the forefront of innovation in professional education, contributing to impactful learning experiences that drive career advancement and industry success.Fitch Learning is currently seeking an Associate Director, Data Science Trainer based out of our Dubai, UAE office.About The TeamYou will join our Data Science Training faculty, a globally collaborative team that designs and delivers technical learning programs focused on data science, analytics, and applied quantitative skills for banks, financial institutions, corporates, regulators, and multilaterals. The team operates across in-house, virtual, and public courses, with high visibility across client engagements and a strong focus on practical, market-relevant learning solutions.Trainers are expected to attend the office on a regular basis when not fulfilling training commitments.How You’ll Make An Impact Design and deliver high-quality training programs in data science, analytics, and related technical subject areas for corporate and professional learners. Create engaging learning materials, including presentations, practical exercises, case studies, assessments, and supporting resources. Deliver training across multiple formats, including virtual, in-person, and blended learning environments. Translate complex technical concepts into clear, practical, and accessible learning experiences for varied audiences. Contribute to the development and enhancement of Fitch Learning’s data science curriculum and broader technical training portfolio. Partner with internal stakeholders, including product, sales, and client-facing teams, to support tailored learning solutions for clients. Stay current on trends and developments in data science, analytics, machine learning, and learning design to ensure content remains relevant and market aligned. Use learner and client feedback to continuously improve training quality, learner engagement, and program outcomes. Support business development efforts, where appropriate, by contributing subject matter expertise to proposals, pitches, and client discussions. You May Be a Good Fit If You have strong subject matter expertise in data science, analytics, statistics, machine learning, or a related field. You have experience designing and delivering training, teaching, facilitation, or professional learning programs in technical subject areas. You are confident presenting to a range of audiences and can explain complex concepts in a clear, engaging, and practical way. You have hands-on experience with relevant tools, programming languages, or data visualization platforms. You are skilled at developing high-quality learning content that is both technically robust and learner-focused. You are commercially aware and able to align learning solutions with client and market needs. You are collaborative, adaptable, and comfortable working across teams in a fast-paced environment. You have excellent written and verbal communication skills, with strong attention to detail and quality. What Would Make You Stand Out Experience delivering training within financial services, banking, capital markets, or other highly regulated industries. Familiarity with applying data science concepts to commercial, credit, risk, or financial use cases. Experience developing customized training solutions for corporate clients. Knowledge of learning design best practices across digital, blended, and instructor-led formats. A desire to innovate by bringing fresh ideas to course design, delivery, and assessment. An advanced degree in Data Science, Statistics, Mathematics, Computer Science, Finance, Economics, or a related discipline. Why Choose Fitch A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity. Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals. Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing. Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively. Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe. Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community. At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.For More Information, Please Visit Our Websiteswww.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.Role OverviewThe Head of AI, Data & Governance will lead MultiBank Group's enterprise-wide Artificial Intelligence, Data Management, Data Governance, and Analytics strategy. This strategic leadership role is responsible for establishing a modern data-driven organization, driving AI adoption across business functions, and ensuring the organization's data assets are governed, secure, reliable, and leveraged effectively to support business growth, operational excellence, risk management, and regulatory compliance.The successful candidate will oversee AI initiatives, enterprise data governance, data architecture, analytics, information management, and data quality programs while leading multidisciplinary teams across Data Engineering, Data Science, Analytics, and Governance. This role will serve as a key advisor to executive leadership, ensuring that data and AI capabilities become core enablers of innovation, decision-making, and competitive advantage.Key ResponsibilitiesAI Strategy & LeadershipDefine and execute the Group-wide AI strategy aligned with business objectives and long-term technology vision.Lead the development and deployment of AI, Machine Learning, Generative AI, predictive analytics, and intelligent automation solutions across business functions.Establish enterprise AI governance frameworks, model monitoring standards, explainability practices, and responsible AI policies.Identify opportunities where AI and advanced analytics can improve client experience, operational efficiency, risk management, compliance monitoring, and revenue growth.Evaluate emerging AI technologies, platforms, and tools to maintain competitive advantage within the financial services industry.Drive adoption of AI-powered solutions across business, operational, and technology teams.Data Strategy & ManagementDefine and execute the enterprise data strategy, ensuring alignment with business objectives and regulatory requirements.Establish data as a strategic organizational asset by promoting data-driven decision-making across all business functions.Oversee enterprise data architecture, data platforms, data integration, and data lifecycle management.Develop scalable frameworks for managing structured, semi-structured, and unstructured data across the organization.Drive enterprise-wide data accessibility, discoverability, and self-service analytics capabilities.Data Governance & ComplianceEstablish and maintain enterprise-wide data governance frameworks, policies, standards, and controls.Define data ownership, stewardship, quality management, classification, retention, lineage, and access management practices.Lead data quality initiatives to improve consistency, reliability, accuracy, and completeness of enterprise data.Ensure compliance with regulatory, privacy, security, and information governance requirements across all jurisdictions.Develop governance frameworks for AI models, training data, model risk management, and responsible AI deployment.Partner with Compliance, Risk, Security, and Legal teams to ensure data and AI initiatives meet internal and external regulatory requirements.Analytics & Business IntelligenceEstablish enterprise-wide KPI frameworks, performance measurement standards, and executive reporting capabilities.Drive advanced analytics initiatives that support commercial, operational, risk, compliance, and customer-focused functions.Enable business stakeholders with actionable insights through dashboards, reporting platforms, and self-service analytics solutions.Promote data literacy and analytical capabilities across leadership and operational teams.Ensure analytics outputs are aligned with strategic business objectives and measurable outcomes.Data Platform & Architecture OversightOversee modern data platforms, warehouses, lakes, and cloud-based analytics environments.Ensure scalability, performance, security, and resilience of enterprise data infrastructure.Define standards for data modeling, metadata management, master data management, and enterprise architecture.Drive modernization initiatives across the data ecosystem to support future AI and analytics capabilities.Leadership & Stakeholder ManagementBuild, mentor, and scale high-performing teams across AI, Data Engineering, Analytics, Business Intelligence, and Governance functions.Partner with executive leadership to align AI and data initiatives with corporate strategy and business priorities.Establish governance councils, steering committees, and operating models to support enterprise data and AI initiatives.Present strategic roadmaps, governance metrics, AI adoption progress, and data maturity assessments to senior leadership.Foster a culture of innovation, accountability, data ownership, and evidence-based decision-making.Qualifications & RequirementsBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Systems, Engineering, Mathematics, Statistics, or a related field.12+ years of experience across Data, Analytics, AI, Information Management, or Governance disciplines, with at least 5 years in a senior leadership role.Proven experience developing and executing enterprise AI and data strategies within large-scale organizations.Strong experience establishing and managing enterprise data governance frameworks and operating models.Deep understanding of data quality, metadata management, data lineage, master data management, and information governance principles.Experience leading enterprise-wide data transformation and modernization initiatives.Strong expertise in AI, Machine Learning, Generative AI, and advanced analytics methodologies.Experience working with cloud-based data and analytics platforms such as AWS, Azure, Google Cloud, Snowflake, Databricks, or equivalent technologies.Strong understanding of data privacy, security, regulatory compliance, and governance requirements within highly regulated industries.Experience building and leading multidisciplinary teams across AI, Data Science, Data Engineering, Analytics, and Governance functions.Strong understanding of financial services, brokerage, capital markets, trading platforms, CFDs, Forex, Cryptocurrency, or related industries is highly desirable.Preferred ProfileExperience implementing enterprise-scale Generative AI, Large Language Models (LLMs), AI assistants, and intelligent automation solutions.Strong understanding of AI governance, model risk management, and responsible AI frameworks.Experience establishing Data Governance Councils, Data Stewardship Programs, and Data Quality Frameworks.Familiarity with MLOps, model lifecycle management, and production AI deployment practices.Proven track record of driving enterprise data culture transformation and increasing organizational data maturity.Experience operating within global and highly regulated financial environments.Exceptional leadership, stakeholder management, communication, and strategic planning skills.Passion for leveraging AI, data, and governance to drive innovation, operational excellence, and business performance.Why Join Us?Work with an industry-leading global financial institution.Competitive salary and comprehensive employee benefits.Opportunities for professional growth and career advancement.Collaborative, inclusive, and dynamic work environment.Commitment to innovation and professional excellence.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.

Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.Role OverviewThe Head of AI & BI Reporting will lead MultiBank Group’s enterprise-wide AI, Business Intelligence, Data Analytics, and Reporting functions. This strategic leadership role is responsible for building a data-driven culture, driving AI adoption across the organization, and delivering advanced analytics capabilities that support business growth, operational excellence, customer engagement, and executive decision-making.The successful candidate will oversee AI initiatives, predictive analytics, BI reporting, customer intelligence, experimentation frameworks, and enterprise analytics platforms while leading a multidisciplinary team of Data Scientists, BI Analysts, Data Engineers, and AI Specialists. This role will serve as a key advisor to executive leadership, transforming complex data into actionable business strategies.Key ResponsibilitiesAI Strategy & LeadershipDefine and execute the Group-wide AI, Analytics, and Business Intelligence strategy aligned with corporate objectives.Lead the development and deployment of AI, Machine Learning, Generative AI, predictive analytics, and intelligent automation solutions across business functions.Establish AI governance frameworks, model monitoring standards, explainability practices, and responsible AI policies.Identify opportunities where AI, machine learning, and advanced analytics can improve revenue growth, customer engagement, retention, operational efficiency, and risk management.Evaluate emerging AI technologies, platforms, and tools to maintain competitive advantage within the financial services sector.Business Intelligence & Advanced AnalyticsBuild end-to-end analytical frameworks to evaluate the customer lifecycle, including acquisition, activation, retention, monetization, and customer lifetime value.Develop enterprise-wide KPI frameworks and executive dashboards to monitor business performance across trading, operations, marketing, finance, and customer experience.Leverage outputs from machine learning models, including churn prediction, customer lifetime value (LTV), propensity scoring, and recommendation engines, to drive predictive decision-making.Design advanced customer segmentation models using clustering techniques such as K-Means, Hierarchical Clustering, and DBSCAN combined with behavioral feature engineering.Perform deep funnel analysis using event-level data, clickstream analytics, customer journeys, and platform interaction data to identify optimization opportunities.Apply attribution modeling methodologies, including rule-based attribution, probabilistic attribution, and Marketing Mix Modeling (MMM), to evaluate marketing effectiveness and ROI.Translate complex datasets, predictive model outputs, and AI-generated insights into commercially actionable recommendations for executive stakeholders.Experimentation & OptimizationDesign, implement, and evaluate experimentation frameworks, including A/B testing, multivariate testing, and uplift modeling with statistical rigor.Establish best practices for hypothesis testing, experimentation governance, and measurement methodologies across business functions.Monitor and optimize key metrics such as customer acquisition cost, activation rates, retention, engagement, churn, conversion, and lifetime value.Data Engineering & ReportingOversee the development of scalable analytics pipelines using SQL, Python, and cloud-based data platforms.Build automated reporting, forecasting, monitoring, and anomaly detection solutions using AI-powered analytics tools.Ensure data quality, consistency, governance, and regulatory compliance across all reporting and analytics environments.Manage large-scale structured, semi-structured, and event-driven datasets from trading platforms, CRM systems, marketing technologies, web applications, and third-party data sources.Drive self-service analytics capabilities across the organization through modern BI tools and data democratization initiatives.Leadership & Stakeholder ManagementLead, mentor, and scale high-performing teams across AI, Data Science, Business Intelligence, Analytics, and Reporting functions.Partner with Product, Marketing, Technology, Trading, Finance, Risk, Compliance, and Operations teams to align analytics initiatives with business objectives.Present strategic insights, AI roadmaps, and performance updates to senior management and executive leadership.Foster a culture of experimentation, innovation, and data-driven decision-making across the organization.Qualifications and RequirementsBachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.10+ years of experience in Analytics, Business Intelligence, Data Science, AI, or related disciplines, with at least 5 years in a leadership position.Proven experience building and leading enterprise AI, BI, and analytics functions within financial services, fintech, banking, capital markets, or technology-driven organizations.Strong expertise in SQL and large-scale data transformation, modeling, and analytics.Advanced Python skills, including experience with Pandas, NumPy, SciPy, Statsmodels, Scikit-Learn, and related analytical libraries.Strong understanding of statistical modeling, hypothesis testing, predictive analytics, and machine learning methodologies.Experience evaluating model performance using metrics such as Precision, Recall, F1 Score, ROC-AUC, Lift, Incrementality, and business impact measures.Hands-on experience with data visualization and BI platforms such as Power BI, Tableau, Looker, or Qlik.Experience with product analytics platforms including Amplitude, Mixpanel, Google Analytics 4 (GA4), or similar tools.Strong knowledge of cohort analysis, retention modeling, funnel optimization, customer segmentation, and LTV analysis.Experience with A/B testing frameworks, experimental design, and causal inference methodologies.Familiarity with cloud analytics environments and modern data platforms such as AWS, Azure, Google Cloud, Snowflake, Databricks, or equivalent.Experience leveraging AI-powered analytics solutions, copilots, and automation tools for reporting, forecasting, anomaly detection, and business intelligence.Strong understanding of financial products, trading platforms, CFDs, Forex, Cryptocurrency, or capital markets is highly desirable.Preferred ProfileExperience implementing Generative AI, Large Language Models (LLMs), AI assistants, and intelligent automation solutions at enterprise scale.Strong knowledge of MLOps, model lifecycle management, and production AI deployment frameworks.Proven track record of building analytics centers of excellence and scaling high-performing AI and BI teams.Experience working within highly regulated financial environments.Exceptional leadership, communication, stakeholder management, and strategic planning skills.Passion for leveraging AI and advanced analytics to transform business performance and customer experiences.Why Join Us?Lead the AI and Business Intelligence transformation of one of the world's leading financial derivatives institutions.Shape the future of AI-powered decision-making, predictive intelligence, and customer analytics across a global organization.Competitive salary plus performance-based incentives.Access to a dynamic, international, and fast-growing environment.Strong opportunities for career progression within a global financial group.Work alongside world-class technology, data, and business professionals.Be part of a business committed to innovation, excellence, and long-term growth.Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of AI-driven finance.