Data Science Specialist

Key Responsibilities: Collaborate with various business segments within the Personal Banking Group (PBG) to harness analytics capabilities, translating insights into actionable strategies for customer acquisition, cross-selling, up-selling, retention, and customer recovery.Employ advanced statistical and predictive modeling techniques to develop, maintain, a…

Join our quest to solve the most complex challenges in systematic investing. The Quantitative Research & Development team at ADIA operates in a diverse environment, where specialists drive innovative investment strategies and bring these concepts to life.Our team utilizes data to facilitate the research, development, and execution of quantitative investment strategies by offering comprehensive, clean, and actionable datasets, while also building resilient, efficient, and scalable technological solutions.Key Responsibilities:· Data Ingestion & Cleansing: Create pipelines for the cleaning, tagging, and integration of new data sources.· Data Analysis: Produce descriptive statistics, identify valuable trends, and articulate potential applications of datasets.· Data Infrastructure: Oversee automated systems for data collection, cleansing, and retrieval.

Join Sia, a leading management consulting firm, as a passionate and analytical UAE National with expertise in Data Science, Artificial Intelligence, or related disciplines. This exciting opportunity is tailored for recent graduates or individuals with up to one year of experience who are enthusiastic about harnessing data and AI to tackle intricate business challenges.In this role, you will collaborate closely with seasoned consultants and clients to aid in strategy formulation, data evaluation, AI use-case identification, and initiatives for digital transformation.Key ResponsibilitiesAssist in consulting projects spanning strategy, digital transformation, and AI ventures.Examine structured and unstructured data to provide actionable insights.Help identify AI and automation prospects for client engagements.Create dashboards, reports, and presentations for client stakeholders.Conduct market research, benchmarking, and industry evaluations.Support the development of business cases for AI-driven solutions.Engage in client meetings and workshops.Prepare high-quality presentations and documentation.

Postdoctoral Researcher – AI for Climate ScienceLocation: ADIA Lab, Abu DhabiEligibility: PhD completed within the last three years in Climate Science, Atmospheric Science, Agrometeorology, Physical Oceanography, Applied and Computational Mathematics, Physics, Engineering, or a related field.About the RoleJoin the innovative team at ADIA Lab as a Postdoctoral Researcher in AI for Climate Science, where you will spearhead research initiatives that leverage artificial intelligence, data science, and high-performance computing to enhance our understanding of Earth's systems. You will collaborate on impactful projects that intersect AI, climate modeling, and sustainability, contributing to our mission of tackling global challenges through advanced computational sciences.Research Focus AreasThe Postdoctoral Researcher will focus on one or more of the following key areas: 1. Earth System Data Curation and PlatformsInnovate new datasets and fusion methodologies that integrate satellite, in-situ, IoT, and citizen-science Earth system data.Utilize AI-driven interpolation, transfer learning, and synthetic data generation to address spatiotemporal data gaps in crucial environmental parameters.Construct quality-controlled, scalable climate data platforms enriched with metadata, ML annotations, and standardized classification schemes.Enhance data pipelines for Earth System Digital Twin (ESDT) case studies. 2. AI and Hybrid AI-Physics-based Earth System ModelsDevelop and refine foundational models that integrate satellite, reanalysis, and sensor data.Incorporate physics-aware machine learning into climate and weather models to improve process representation at sub-kilometer scales.Advance AI-driven data assimilation, emulation, and post-processing techniques for predicting weather-to-climate transitions.Establish large language model (LLM) frameworks to enhance synthesis and scientific reasoning in Earth system analysis. 3. AI for Climate Adaptation and ResilienceAssess uncertainty in downscaled projections of future extreme weather and climate hazards.Conduct case studies that link climate impacts to water security, energy systems, infrastructure performance, and financial risk.Foster partnerships with sectoral experts and policymakers to co-design AI tools that inform scenario planning, adaptive investment strategies, and early-warning systems. 4. Ethical Climate AI and GovernanceCreate operational science infrastructures for benchmarking AI methodologies in climate science.Contribute to the establishment of shared experimental standards and reproducibility protocols.

JOB PURPOSE:Support static data maintenance as part of a centralized team serving multiple regions, both locally and internationally.Contribute to a dynamic department tasked with maintaining and updating reference data within systems such as Murex, Bloomberg, and Intellect/T24, among others. This role is crucial in facilitating booking, settlement, and straight-through processing (STP) operations, while ensuring data accuracy, consistency, and integrity across all banking systems that require full or partial maintenance by the Reference Data Group (RDG).KEY ACCOUNTABILITIES:Policies, Systems, Processes & ProceduresAdhere to all relevant departmental policies and standard operating procedures to ensure work is executed in a controlled and consistent manner.Uphold the organization’s values and ethics consistently to foster a value-driven culture within the bank.Continuous ImprovementParticipate in identifying opportunities for continuous improvement and the sustainability of systems and processes, considering global standards and productivity enhancements.ReportingAssist in preparing timely and accurate reports to fulfill departmental requirements and maintain quality standards.

Join Aldar Properties as a Senior Data Scientist Associate and play a pivotal role in driving data-driven decision-making across our organization. You will be responsible for analyzing complex datasets, developing predictive models, and providing actionable insights to enhance business performance.Your expertise in data science will allow you to collaborate with cross-functional teams, leveraging advanced statistical methods and machine learning techniques to solve challenging business problems.

Role SummaryAs the Chief Specialist in Data Governance, you will spearhead the creation and implementation of comprehensive data governance frameworks, policies, and standards across the government sector. Your primary mission will be to ensure adherence to regulatory requirements, drive the establishment of performance management KPIs, and facilitate seamless data exchange among various entities.Key Responsibilities• Lead the design and ongoing refinement of government-wide data governance frameworks, encompassing policies and standards.• Set, assess, and ensure compliance with data governance policies and standards through systematic monitoring, audits, and performance evaluation methods.• Oversee the development, implementation, and management of data performance indices to improve data quality, sharing, and management skills across agencies.• Direct the entire KPI measurement cycle, covering data collection, validation, scoring, and quality assurance.• Govern the comprehensive data information model, ensuring the integrity of enterprise data architecture and essential data domains.• Manage the central data catalogue, metadata, and reference data, guaranteeing clarity in ownership and resolving inter-agency data conflicts.• Foster a culture of collaborative data sharing by engaging with government entities and promoting data sharing platforms.• Organize and operationalize governance bodies (e.g., Data Committees, Working Groups) to ensure effective oversight and alignment.• Provide strategic guidance on data-related risks and integrate these considerations into enterprise risk management practices.• Collaborate with senior stakeholders to align governance objectives with strategic and data transformation initiatives.• Drive continuous improvements in the governance team's practices and performance.

Etihad Airways is hiring UAE National fresh graduates for a Data Modelling & Analytics Specialist position based in Abu Dhabi. This entry-level role provides practical experience in data analytics within the aviation industry. Role overview This position centers on supporting data-driven business processes. The specialist will work alongside colleagues to design and build data models that help the company analyze and interpret information for better decision-making. What you will do Collaborate with team members to create and refine data models for business analysis. Support projects aimed at improving how Etihad Airways uses data to inform decisions. Apply analytical thinking to address real business challenges as part of a collaborative group. Who this role is for Recent UAE National graduates interested in data analytics and modelling. Individuals looking to build technical skills and learn about data-driven operations in a business setting. The role is located at Etihad Airways headquarters in Abu Dhabi.

We appreciate your interest in the Abu Dhabi Investment Authority (ADIA) Local Scholarship Program aimed at supporting students at local universities. We are excited to evaluate your qualifications as a potential candidate for this prestigious scholarship opportunity.About ADIA:ADIA is a leading global investment institution dedicated to fostering the long-term prosperity of the UAE by strategically managing capital through a disciplined investment approach and a talented workforce.Scholarship Details:This scholarship specifically targets individuals aspiring to pursue studies in Computer Science or Mathematics at UAE University, Khalifa University, Sorbonne Abu Dhabi, or New York University Abu Dhabi.Application Instructions:If you meet the criteria mentioned, please complete your application by clicking the link below. To be considered for the 2025 cohort, ensure your application is submitted by June 24, 2025.Note:Selected male students are required to fulfill National Service obligations prior to joining the scholarship.

ADIA Lab, a leading independent research institution in Abu Dhabi, is on the lookout for a Senior Computational Scientist specializing in Material Sciences. This pivotal role involves establishing a cutting-edge research group, cultivating a globally recognized team of researchers, and spearheading lab-wide initiatives. Our mission is to harness the power of computational science and data-driven innovation to expedite breakthroughs in materials that support energy, sustainability, and advanced technologies.As a global research center, ADIA Lab is committed to advancing computational science, data science, and artificial intelligence to tackle pressing challenges in climate change, health, the digital economy, and materials science. Our Abu Dhabi base attracts top researchers worldwide, creating a collaborative environment for foundational research, innovative computational methods, and impactful breakthroughs.

Join our dynamic team at Etihad Airways as a Senior Analytics Specialist. In this pivotal role, you will leverage your analytical expertise to drive data-informed decision-making across the organization. You will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights, enhance operational efficiency, and support strategic initiatives.

Role OverviewAs the Director of the Government-Wide Data Cleansing Program, you will spearhead initiatives aimed at enhancing data quality across various government entities. Your leadership will ensure the implementation of effective data cleansing strategies, enterprise data modeling, and dataset publication, thereby promoting the availability of high-quality, trustworthy data. You will also facilitate ongoing monitoring and governance, fostering continuous improvements in data quality.Primary Responsibilities• Develop and direct the overarching data cleansing strategy for the government, ensuring adherence to data quality standards and alignment with governmental priorities.• Create a structured framework for prioritizing essential datasets and orchestrating a phased execution across various entities.• Standardize, automate, and scale the data cleansing lifecycle utilizing cutting-edge tools and AI solutions, while governing reusable processes.• Implement and manage a multi-vendor model for data cleansing, ensuring synchronized execution and performance oversight across entities.• Oversee large-scale initiatives aimed at improving data quality, ensuring compliance with established quality metrics and thresholds.• Guide the development of enterprise data models for government entities, ensuring compliance with overarching data standards and interoperability requirements.• Supervise the creation, standardization, and dissemination of cleansed datasets within the Government Wide data catalog, promoting accessibility and reuse.• Lead the development of data quality dashboards to monitor key performance indicators and track cleansing progress.• Establish and chair governance bodies to ensure timely delivery, facilitate issue resolution, and ensure alignment with stakeholders.• Develop and maintain sustainable data quality and cleansing frameworks for long-term enhancement and upkeep.• Regularly report to senior leadership regarding program advancements, risks, and impact on data maturity.

Role OverviewAs the Data Platform Technology Architect, you will spearhead the architecture, design, and continuous enhancement of the core data platforms for government operations. Your role is pivotal in ensuring that these platforms are scalable, secure, and capable of seamless integration across various government entities. You will facilitate data exchange, support advanced use cases, and ensure compliance with government-wide strategies and policies.Primary Responsibilities• Define and manage the comprehensive architecture of core data platforms, emphasizing scalability, performance, and security.• Provide strategic advice on technology selection, solution architecture, and platform harmonization to ensure effective and sustainable deployments that align with government data strategies and policies.• Lead the architecture and management of a complex ecosystem of data platforms, ensuring interoperability and consistency across multiple vendors and technologies.• Design and oversee a data-sharing platform that enables secure and standardized data flows among entities.• Supervise the implementation and evolution of components for data sharing, provisioning, and performance metrics.• Guide the design and execution of entity-level data solutions, including data ingestion, storage (data lakes and warehouses), catalogues, master data management, integration layers, and analytics capabilities.• Ensure interoperability across government entities through standardized data exchange protocols, APIs, and integration practices.• Manage the lifecycle of platforms, including setup, operations, upgrades, migrations, and the retirement of legacy systems.• Engage stakeholders to align the platform roadmap with strategic objectives and evolving data use cases.• Collaborate with engineering teams and vendors to guarantee high-quality delivery and deployment of platforms.• Drive adoption and realization of platform value through enablement and activation of use cases.Essential Qualifications• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.• Over 20 years of experience in technology architecture, particularly in designing and deploying large-scale data platforms in multinational or multi-entity environments, preferably in Europe or North America.• Demonstrable experience in architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems.

At GenBio AI, we are pioneers in developing multiscale foundation models aimed at decoding and simulating the complexities of human biology. Our mission is to empower scientists in overcoming significant challenges in drug discovery, healthcare, and fundamental research through our innovative framework, AIDO (AI-Driven Digital Organism). This integrated system facilitates the prediction, simulation, and programming of biological systems at all levels. We are laying the groundwork today by engineering virtual cells to accurately model and simulate the essence of life.Our ambitious vision has attracted a diverse team of highly skilled researchers and engineers, all dedicated to turning this vision into reality. We take pride in our robust engineering culture and our commitment to an interdisciplinary, collaborative approach. Our headquarters is located in Palo Alto, with additional offices in Paris and Abu Dhabi.As our data ingestion demands continue to expand, we are seeking a Bioinformatics Data Engineer to serve as a vital link between raw biological data and our scalable infrastructure. Reporting directly to the Data Engineering Lead, you will utilize your extensive biological domain knowledge to design the initial scripts and processing logic for intricate datasets, ensuring they are ready for large-scale foundation model training.

Job Title: Data Engineer – Automation & AILocation: Abu Dhabi or Dubai, UAEEngagement: Full-time (On-site)Contract Duration: 3 or 6 months + potential extensionsStart Date: February 2026Riverflex is collaborating with a premier financial institution in the UAE to spearhead a strategic Proof of Concept aimed at enhancing data engineering productivity through automation and AI technologies. We are on the lookout for a Data Engineer – Automation & AI who possesses robust experience in Generative AI and agent-based methodologies to lead this initiative from inception to completion. The role entails leveraging AI-driven techniques for the design, migration, and development of AWS-based data pipelines.This position is primarily focused on revolutionizing data engineering practices with AI integration, rather than just pipeline development. You will serve as the internal authority on AI applications in daily data engineering operations, collaborating closely with the partner’s Data Lead and becoming an integral part of the on-site engineering team. A crucial aspect of this role involves translating legacy SQL scripts and stored procedures into contemporary AWS Glue pipelines while defining scalable AI patterns, tools, and guardrails that extend beyond the scope of the Proof of Concept.

Join our dynamic team at Etihad Airways as a Senior Analytics Specialist, where you will leverage data-driven insights to enhance operational efficiency and customer experience. You will be responsible for analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to drive strategic initiatives.

As the Head of Enterprise Data Platforms, you will spearhead the strategic design, development, and governance of the bank's enterprise data ecosystems. Your leadership will be essential in establishing a robust, scalable, and secure data architecture that facilitates data-driven decision-making and supports advanced analytics, artificial intelligence, and innovative initiatives. This role is crucial in driving the bank's digital transformation, delivering real-time insights, and ensuring compliance with regulatory standards across all business units.Key Responsibilities:Formulate and implement the enterprise data platform strategy, aligning closely with the bank’s digital and AI objectives.Lead the creation of a modern, cloud-based data architecture, including data lakehouses and data fabrics.Drive the simplification of the data estate by phasing out outdated and non-scalable platforms and tools.Oversee the integration of diverse structured and unstructured data sources across the organization.Ensure optimal performance, availability, and scalability of data platforms.Establish and maintain data governance and management practices in collaboration with the Data Governance unit.Work alongside data science, analytics, and business operations teams to promote self-service data access and advanced analytical capabilities.Champion the adoption of DevOps and DataOps methodologies for enhanced automation and continuous delivery.Manage relationships with external vendors and assess emerging technologies for platform improvements.Maintain adherence to regulatory requirements and internal audit standards.Lead, mentor, and cultivate a high-performing team comprising data engineers, architects, and platform specialists.Oversee the data platform budget, ensuring cost-effectiveness.Report on platform performance, usage metrics, and value delivery to executive leadership.Foster a culture of innovation and continuous improvement within the data function.Represent the bank at industry forums and contribute to thought leadership in data platform strategy.

As the Director of Customer Data and Insights at Etihad Airways, you will play a pivotal role in shaping our customer engagement strategies. You will be responsible for leveraging data analytics to gain valuable insights into customer behavior, preferences, and trends. Your expertise will drive initiatives that enhance customer experiences, improve retention rates, and increase overall satisfaction.We are seeking a visionary leader who can effectively manage a team of data analysts and collaborate with cross-functional departments to implement data-driven solutions. You will be key in developing strategies that align with our business goals and promote a culture of data literacy across the organization.

Overall ObjectivesThe Principal Lead for Data Platforms Operations is pivotal in ensuring the consistent availability, reliability, and optimal performance of enterprise data platforms. This role encompasses managing daily production operations, facilitating regular service reviews with various business lines, and overseeing incident and problem management initiatives. The ideal candidate will serve as a vital link between technical teams and business stakeholders, driving operational excellence and fostering continuous improvement.Role-Specific Responsibilities- Guarantee high availability and performance of data platforms across both on-premise and cloud environments.- Conduct regular service review meetings with business lines to address incidents, challenges, and service performance metrics.- Lead incident and problem management processes, including root cause analysis and tracking of resolutions.- Collaborate with infrastructure, Data Platforms, and Data Engineering teams to troubleshoot operational issues.- Implement and uphold operational best practices, focusing on change management and release governance.- Assist with audit and compliance requirements related to production operations.- Champion continuous improvement initiatives to enhance platform stability and service quality.- Provide leadership and mentorship to members of the production support team.General Functional Responsibilities- Promote ongoing enhancements in production process frameworks.- Foster strong engagement with the wider bank’s service management teams to achieve operational and process improvement objectives.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, recognized for our robust implementation of intelligent enterprise systems across diverse sectors, particularly in financial services and banking. Our team expertly merges advanced data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a profound understanding of intricate business operations.We are on the lookout for a talented AWS Glue Data Engineer to enhance our Data Factory Squad. In this role, you will take charge of migrating source systems into our Lakehouse ingestion zone, focusing on the development of scalable ingestion pipelines, optimizing performance, and ensuring adherence to architectural and data assurance standards.The ideal candidate will possess substantial experience in financial services, with a strong command of AWS Glue, PySpark, and ETL pipeline development.Your key responsibilities as the AWS Glue Data Engineer will encompass:Data Ingestion DevelopmentCreating and implementing AWS Glue jobs for Bronze layer ingestion using established standards and templates.Employing appropriate loading techniques based on source requirements (CDC, full load, delta, snapshot).Designing and executing historical loading processes to integrate legacy data into the Lakehouse.Performance OptimizationEnhancing Glue job performance (DPU allocation, parallelization, partitioning) in line with industry best practices.Collaborating with platform teams to ensure alignment in tooling and optimization efforts.Migration & AutomationProactively migrating source tables to the Bronze layer, initially utilizing manual methods with standards/templates, and subsequently leveraging AI-driven acceleration.Ensuring jobs are version-controlled and that production deployment is automated using Git and Terraform.Governance & MonitoringEstablishing connectivity with source systems within the CDP in partnership with source system owners.Guaranteeing compliance with data contracts and effective monitoring of jobs.Preparing documentation and facilitating handover to operational support teams.CollaborationWorking closely with the Data Architect to establish ingestion patterns and standards.Coordinating with the Data Assurance Lead to ensure quality checks across all jobs.Partnering with platform engineers for tooling and optimization enhancements.RequirementsWe expect you to have:Expertise in AWS Glue, PySpark, and ETL pipeline development;In-depth knowledge of Lakehouse architecture and Medallion design principles;Familiarity with CDC, delta loads, and historical data ingestion strategies;5+ years of experience in data engineering roles, with a focus on...