Jobs at Emirates

Job Purpose Join the Emirates Group Analytics Centre of Excellence (ACoE) and help shape the future of data science, artificial intelligence and advanced analytics across one of the world's leading aviation and travel organisations. As a Senior Data Scientist/ Senior AI Engineer, you will lead the design and delivery of innovative machine learning, optimisation and AI solutions for business that influence strategic decisions, improve operational performance and create exceptional customer experiences. You will work on complex challenges at scale while mentoring others and driving the adoption of AI and advanced analytics across the organisation. In This Role, You Will • Lead end-to-end AI initiatives from problem definition through to deployment and value realisation. • Partner with business leaders to transform strategic challenges into scalable AI and analytics solutions. • Design and implement advanced machine learning, optimisation and simulation models. • Develop AI-powered capabilities leveraging GenAI, LLMs and Agentic AI technologies. • Drive experimentation, model validation and performance measurement to ensure business impact and automate business decisions. • Lead the development of reusable data science frameworks, libraries and production-ready solutions. • Collaborate closely with engineering teams to operationalise machine learning and AI products. • Mentor and coach junior data scientists while helping shape best practices across the wider analytics community. • Champion innovation and identify emerging technologies that can create competitive advantage. Qualification To be considered for this role, you must meet the below requirements: Qualifications • MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science or a related quantitative discipline. Experience • 4-7+ years of experience delivering advanced analytics, machine learning, optimisation or AI solutions in large, complex organisations. Knowledge & Skills • Expert knowledge of machine learning, statistical modelling and advanced analytics. • Strong experience with GenAI, LLMs, Agentic AI and emerging AI technologies. • Hands-on AI Engineering experience including model deployment, Agentic orchestration frameworks, evaluation frameworks, observability and monitoring, RAG architectures and scalable AI application development. • Experience with optimisation frameworks such as Gurobi, FICO or CPLEX. • Strong programming skills in Python and SQL. • Experience with Git, Docker, CI/CD pipelines and MLOps practices. • Proven experience deploying production-grade analytics and AI solutions. • Strong stakeholder management and communication skills with the ability to influence senior leaders. • Experience mentoring and developing technical talent. • A commercial mindset focused on delivering measurable business value through AI and analytics. Preferred Experience • Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent). • Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems. • Experience evaluating, monitoring and governing production AI systems. • Understanding of cloud-native AI platforms and modern AI engineering best practices. Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary alongside exceptional travel, healthcare and lifestyle benefits. You'll work on some of the most exciting AI, data science and optimisation challenges in the industry while helping shape the future of analytics at global scale.

Job Purpose Join the Emirates Group Analytics Centre of Excellence (ACoE) and help shape the future of data science, artificial intelligence and advanced analytics across one of the world's leading aviation and travel organisations. As a Senior Data Scientist/ Senior AI Engineer, you will lead the design and delivery of innovative machine learning, optimisation and AI solutions for business that influence strategic decisions, improve operational performance and create exceptional customer experiences. You will work on complex challenges at scale while mentoring others and driving the adoption of AI and advanced analytics across the organisation. In This Role, You Will • Lead end-to-end AI initiatives from problem definition through to deployment and value realisation. • Partner with business leaders to transform strategic challenges into scalable AI and analytics solutions. • Design and implement advanced machine learning, optimisation and simulation models. • Develop AI-powered capabilities leveraging GenAI, LLMs and Agentic AI technologies. • Drive experimentation, model validation and performance measurement to ensure business impact and automate business decisions. • Lead the development of reusable data science frameworks, libraries and production-ready solutions. • Collaborate closely with engineering teams to operationalise machine learning and AI products. • Mentor and coach junior data scientists while helping shape best practices across the wider analytics community. • Champion innovation and identify emerging technologies that can create competitive advantage. Qualification To be considered for this role, you must meet the below requirements: Qualifications • MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science or a related quantitative discipline. Experience • 4-7+ years of experience delivering advanced analytics, machine learning, optimisation or AI solutions in large, complex organisations. Knowledge & Skills • Expert knowledge of machine learning, statistical modelling and advanced analytics. • Strong experience with GenAI, LLMs, Agentic AI and emerging AI technologies. • Hands-on AI Engineering experience including model deployment, Agentic orchestration frameworks, evaluation frameworks, observability and monitoring, RAG architectures and scalable AI application development. • Experience with optimisation frameworks such as Gurobi, FICO or CPLEX. • Strong programming skills in Python and SQL. • Experience with Git, Docker, CI/CD pipelines and MLOps practices. • Proven experience deploying production-grade analytics and AI solutions. • Strong stakeholder management and communication skills with the ability to influence senior leaders. • Experience mentoring and developing technical talent. • A commercial mindset focused on delivering measurable business value through AI and analytics. Preferred Experience • Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent). • Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems. • Experience evaluating, monitoring and governing production AI systems. • Understanding of cloud-native AI platforms and modern AI engineering best practices. Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary alongside exceptional travel, healthcare and lifestyle benefits. You'll work on some of the most exciting AI, data science and optimisation challenges in the industry while helping shape the future of analytics at global scale.

Job Purpose Join the Emirates Group Analytics Centre of Excellence (ACoE) and help shape the future of data science, artificial intelligence and advanced analytics across one of the world's leading aviation and travel organisations. As a Senior Data Scientist/ Senior AI Engineer, you will lead the design and delivery of innovative machine learning, optimisation and AI solutions for business that influence strategic decisions, improve operational performance and create exceptional customer experiences. You will work on complex challenges at scale while mentoring others and driving the adoption of AI and advanced analytics across the organisation. In This Role, You Will • Lead end-to-end AI initiatives from problem definition through to deployment and value realisation. • Partner with business leaders to transform strategic challenges into scalable AI and analytics solutions. • Design and implement advanced machine learning, optimisation and simulation models. • Develop AI-powered capabilities leveraging GenAI, LLMs and Agentic AI technologies. • Drive experimentation, model validation and performance measurement to ensure business impact and automate business decisions. • Lead the development of reusable data science frameworks, libraries and production-ready solutions. • Collaborate closely with engineering teams to operationalise machine learning and AI products. • Mentor and coach junior data scientists while helping shape best practices across the wider analytics community. • Champion innovation and identify emerging technologies that can create competitive advantage. Qualification To be considered for this role, you must meet the below requirements: Qualifications • MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Operations Research, Computer Science or a related quantitative discipline. Experience • 4-7+ years of experience delivering advanced analytics, machine learning, optimisation or AI solutions in large, complex organisations. Knowledge & Skills • Expert knowledge of machine learning, statistical modelling and advanced analytics. • Strong experience with GenAI, LLMs, Agentic AI and emerging AI technologies. • Hands-on AI Engineering experience including model deployment, Agentic orchestration frameworks, evaluation frameworks, observability and monitoring, RAG architectures and scalable AI application development. • Experience with optimisation frameworks such as Gurobi, FICO or CPLEX. • Strong programming skills in Python and SQL. • Experience with Git, Docker, CI/CD pipelines and MLOps practices. • Proven experience deploying production-grade analytics and AI solutions. • Strong stakeholder management and communication skills with the ability to influence senior leaders. • Experience mentoring and developing technical talent. • A commercial mindset focused on delivering measurable business value through AI and analytics. Preferred Experience • Experience building and deploying AI applications using LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel or equivalent). • Experience with Retrieval Augmented Generation (RAG), vector databases, AI agents and multi-agent systems. • Experience evaluating, monitoring and governing production AI systems. • Understanding of cloud-native AI platforms and modern AI engineering best practices. Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary alongside exceptional travel, healthcare and lifestyle benefits. You'll work on some of the most exciting AI, data science and optimisation challenges in the industry while helping shape the future of analytics at global scale.

Job Summary As a key technologist in the Software Engineering group, help drive software engineering strategies, standards and guidelines at product and program level. Engineer business critical technology solutions through the application of software programming, quality management, and data management. Ensure robust engineering practices for solution planning, technology development, deployment, release, hyper-care and operation of technology solution. Leverage a wide ranging technical expertise to enable business to solve complex analytical problems in areas like planning, commerce, customer experience and operations. Job Outline • Lead the discovery phase of small to medium projects to come up with high level design. Partner with the Product Managers, Architects and others in the team. • Lead technical design and build for medium to large sized solutions in a team. Translate complex functional and non-functional requirements into fit for purpose technical design. For Data and Analytics solutions, conduct required source system analysis, data profiling and complex source-to-target mapping activities to ensure solutions deliver on business needs. Design and review data models (both logical and physical) for solution fit. • Debugging and solving issues and follow design documents and implement/test codes and make design decisions while coding and using strong coding principles. Own any feature of the solution end to end. Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles. • Enable test automation while ensuring the CI/CD pipeline is always in good health and is responsible for the technical design and high-quality coding for technology products that passes the QA requirements and is production deployment ready. Automate testing and carry out functional and performance testing in collaboration with test engineers and quality assurance. • Build, maintain and operate technical environments for software development, continuous integration and continuous deployment for data solutions. • Contribute to software and data engineering playbooks for use by relevant people in information technology and data scientists in the business. • Contribute to sprint/work design and planning by providing subject matter expertise on business domain and relevant technologies and contribute to software engineering organisation in relevant technology and ensures participation in cross skilling using expertise. • Support acceptance testing of the technology solutions by the business ensuring the technology solution meets the business requirements Drive corrective, adaptive, preventative and perfective maintenance of solutions with support from environment management, service management, infrastructure management and cyber security. • Network with senior internal and external colleagues in area of expertise. Work with others to identify trade-offs or potential conflicts between functional goals and objectives. • Solve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Qualifications & Experience Qualifications Bachelor degree in a relevant field such as Computer Science, Computational Mathematics, Computer Engineering or Software Engineering. Master Degree will be a plus. Experience • Minimum of 5 years of experiance as Software Engineer. • Experience of developing advanced technology solutions for large, complex organisations in a multi-functional environment. • Experience in providing production support for business solutions. • Deep experience in front end development, full stack development, data engineering or AI/ML development. • Technology evaluation, vendor selection and technology vendor management. • Implementation of contemporary engineering practices like lean software development, test driven development, continuous integration and continuous deployment. • Establishing and managing technology platforms for DevOps, Data Pipelines, Code Management, Testing, Continuous Integration and Continuous Deployment. • Good understanding of system integration architecture, and data architecture and models. Knowledge/skills • Understand the source systems data, gather & able to transfer the data into HDFS as RAW and Decomposed layer (including writing Oozie workflow, coordinators, Sqoop and Flume). • Exposure in handling to massive quantities of data by taking advantage of both batch and speed methods. • Strong knowledge of and experience with statistics; potentially other advanced math as well and good working knowledge of SQL ability. • Deep knowledge in data mining, data modelling, data processing, machine learning, natural language processing or information retrieval. • Experience in processing large amounts of structured/unstructured data. • Capability to design and document solutions independently. • Technology Domain. • Key Technologies/Tools. • Data Analysis, Modelling & Reporting. • SQL, Excel, JSON, XSD, XML, Hive, AVRO, PARQUET, API, Data Vault 2.0, Microstrategy, Power BI, Business Intelligence, Business. • Objects and Tabulo. • Cloud technologies. • ADLS, Data Factory, Logicapps, Azure functions & services, Databricks and Cloudera. • Big Data. • HDFS, Hadoop, Spark, Scala, Python, HBase, Oozie, Airflow and Apache NiFi. • Data Integrations. • Streaming (e.g. Kafka & Spark Streaming), Snaplogic, Azure Data Factory(ADF) & Sqoop. • Database & NoSQL Technologies. • Elasticsearch, Snowflake, Couchbase, Cassandra, Graph DB, Neo4j, Cosmos DB, Oracle, MySQL and SQL server. • Machine Learning (ML) engineering. • DataiKU, Python, R, Scala, Spark Mllib, Azure Databricks, Tensorflow, IBM Watson, NLP, Deep Learning, NumPy, Pandas and Scikit learn Continuous Integration and Deployment (CI/CD). • GIT Bitbucket, SonarQube, Shiftleft, Jenkins, Jasmin, Karma, Quick & Nimble, Selenium, Cucumber, Protractor, Jmeter, Gatling, Appium, XCUITest, Swift, Docker, Openshift, Kubernetes, Jira-Agile, Confluence, VRA-CodeStream, Appdynamics and ShiftLeft. • Automation. • Java, Selenium, Oracle with VB Script, RESTAssured, SOAP, JS, Scala ( Gatling), APPD, HP Load Runner, Jmeter, HP UFT, Python, Nose, numpy, scikit-learn, pandas, Sikuli, Chai-Mocha, Junit, Nosetest, OneAutomation and Automation anywhere. Salary & Benefits Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world.