137 AI Technologies jobs in the United Arab Emirates

We are seeking a skilled data scientist to join our organization.

• Analyse and interpret complex data sets to derive actionable insights.
• Develop and implement machine learning models and algorithms.
• Design, test, and optimize data science workflows in Azure Databricks using PySpark and Jupyter Notebooks.
• Collaborate with data engineers to ensure data quality and accessibility.
• Communicate findings and recommendations to business and technology stakeholders.

Job Requirements:

• 5+ years of experience in a data science or machine learning role.
• Strong proficiency with Azure Databricks, Jupyter Notebooks, and PySpark.
• Experience with Python ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
• Strong SQL skills and understanding of distributed data processing.
• Exposure to Azure Machine Learning and Data Factory.
• Familiarity with MLOps and model deployment in CI/CD pipelines.
• Excellent verbal and written communication skills with the ability to communicate technical concepts to non-technical audiences.

Benefits:

This is an exciting opportunity for data scientists to work on challenging projects and grow their careers.

Job Title

We are seeking a seasoned Data Science Professional to lead our analytics initiatives. This role requires 8-10 years of experience in data science, with a focus on managing loyalty programs.

The ideal candidate will:

• Develop innovative analytics use cases and projects for clients.
• Contribute to the growth and development of our analytics practice.
• Provide expertise on flagship loyalty management projects with select customers.

Key Responsibilities:

• Client Engagement: Collaborate with clients to understand their business needs and propose suitable analytics solutions.
• Solution Development: Build solutions to meet client requirements.

• Growth of Analytics Practice: Contribute to the strategic growth and development of the analytics practice.
• Industry Trends: Stay updated with industry trends and advancements in data science and analytics.

• Loyalty Management Projects: Provide leadership and expertise on flagship loyalty management projects with select customers.
• Loyalty Program Design: Ensure the successful design, execution, and management of loyalty programs.

• Expertise: Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Data Modeling: Strong understanding of data modeling, statistical analysis, and machine learning techniques.

• Skills and Qualifications: Bachelor's degree in computer science, statistics, mathematics, computer engineering, data science, or AI. Postgraduate degree in computer science is an added advantage.

Data Science Lead

The Data Science Lead will be responsible for developing and implementing the organization's institutional data strategies, ensuring alignment with FAIR principles and enabling AI-readiness across disciplines and functions.

Key Responsibilities:

• Lead the development and implementation of the organization's institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of the organization's federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across Centers, platforms, and programs.
• Advance data, interoperability, and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across the organization's data lifecycle.

Engagement:

• Work closely with the Digital Transformation Accelerator leadership to ensure alignment of data-related investments, strategies, and governance models across the organization's science and enabling functions.
• Advise and support research programs and accelerators to co-develop and scale data-intensive solutions and decision-support tools, aligned with the organization's 2030 Research and Innovation Strategy.
• Collaborate with partners to contribute to public-good data infrastructure, standards development, and frontier data innovation.

Delivery:

• Establish and lead a CGIAR-wide Data Science Function and Community of Practice, fostering best practices, capability building, and standardization in data science, analytics, and infrastructure management.
• Ensure the timely implementation of the organization's institutional data strategy including the development of workplans and budgets

Required Skills and Qualifications:

Education and Experience:

• Advanced degree (Master's or PhD) in Data Science, Information Systems, Statistics, Computer Science, or a related discipline with a focus on data architecture, governance, or applied analytics.
• Minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research, public-good, or international development organizations.
• Proven track record in building and managing complex data ecosystems and driving data-enabled innovation across disciplines and functions.

Benefits:

The successful candidate will be employed by the CGIAR System Organization. The CGIAR System Organization is an equal opportunity employer and offers competitive compensation with favorable taxation arrangements and comprehensive employee benefits comprising extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

System Organization appointments are typically for a fixed term of three years, with a possibility of renewal subject to effective performance, operational needs, and funding.

CGIAR is committed to fair, safe, and inclusive workplaces. We believe that diversity powers our innovation contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational, and multi-disciplinary, collegial working environment, with a competitive salary, excellent benefits, and flexible working arrangements. We consciously create an inclusive organization that reflects our global character and commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities. If you require accommodation due to a disability, please contact us.

Unlock your full potential as a Data Science leader and drive innovation in the digital transformation of our clients.

We are seeking an exceptional professional with expertise in AI/ML to join our team. As a Senior Manager, you will be responsible for providing technical leadership and strategic direction in Data Science/AI/ML.

Key Responsibilities:

• Provide expert guidance on ML algorithms and data pre-processing techniques.
• Collaborate with cross-functional teams to define project scope and apply ML algorithms.
• Lead the identification of new AI/ML opportunities by leveraging your technical expertise.
• Shape data solutions and properly scope engagements.
• Foster strong relationships with clients through effective project delivery.
• Engage client executives up to C-level to maximize growth.
• Provide mentorship and guidance to junior team members.
• Stay updated with the latest advancements in AI/ML.
• Support pre-sales activities by assessing Data opportunities.

Requirements:

• Bachelor's or Master's or PhD in Computer Science or a related field.
• Fluent English speaker with Arabic being a strong advantage.
• Experience and knowledge of the Oil & Gas/Energy sector.
• Strong experience in a senior or leadership role within Data Science/Data Analytics Technology Consulting.
• Proven track record in designing and implementing AI/ML solutions.
• Technical proficiency in programming languages such as Python, R, or Java.
• Solid understanding of ML algorithms and data pre-processing techniques.
• Demonstrated experience in engaging and influencing senior stakeholders.
• Strong communication skills and ability to explain complex concepts.
• Ideally experience in pre-sales or supporting sales teams.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

Location: Dubai, United Arab Emirates

Shape the future of data-driven business decisions, bridging strategy and analytics to unlock real impact.

A globally renowned consulting firm is seeking a Data Strategist (Manager level) to translate complex analytics into actionable business insights. Acting as the vital bridge between business and IT, you will design advanced data tools, craft predictive models, and lead the delivery of solutions that transform customer experiences, drive growth, and sharpen competitive advantage.

As a Data Strategist, you will guide stakeholders in defining data opportunities, develop and implement cutting-edge models, and ensure every initiative leads to measurable business outcomes, from boosting revenue and optimising marketing to reimagining customer engagement in a digital-first world.

Delivery Leadership

• Partner with stakeholders across business and IT to identify opportunities for leveraging data to deliver tangible business outcomes.

• Data mining, analysis and interpretation of complex datasets to optimise product development, marketing strategies, and operational efficiency.

• Assess and validate the effectiveness of new data sources, ensuring the accuracy and reliability of insights.

• Design, build, and deploy custom data models and algorithms tailored to unique business challenges.

• Apply predictive modelling to enhance customer experiences, improve ad targeting, and maximise revenue potential.

• Establish and manage A/B testing frameworks to evaluate model quality and business impact.

• Collaborate with cross-functional teams to integrate data models into products and monitor their performance post-launch.

• Develop scalable processes and tools to continuously monitor, analyse, and refine model performance.

Team & Talent Leadership

• Act as an analytics translator, ensuring business teams understand technical insights and IT teams are aligned with business priorities.

• Mentor junior analysts and data professionals, fostering growth and building organisational data fluency.

• Champion a culture of data-driven decision-making, experimentation, and continuous improvement.

• Build strong relationships with senior stakeholders to influence strategy and maximise adoption of data solutions.

• 3–5 years of hands-on experience in advanced analytics, data modelling, and predictive techniques within a business environment.

• Strong expertise in statistical and data mining methods (regression, decision trees, clustering, neural networks, etc.).

• Proficiency with relational databases (SQL) and hands-on experience handling large datasets.

• Familiarity with programming languages such as Python, C++, or Java is a strong plus.

• Proven ability to distil technical and analytical content into clear, business-ready recommendations.

• Intellectual curiosity and strong problem-solving skills, with the ability to break down complex issues and identify actionable solutions.

• Track record of leadership:inspiring, building relationships, and driving results.

• Skilled in collaborating across multidisciplinary teams and presenting confidently to senior stakeholders.

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• Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Mathematics, or similar) required; advanced degree preferred.

• Prior consulting experience is highly desirable.

Technical Data Scientist

Job Description:

• Design and implement advanced data solutions, optimize AI-driven workflows, and integrate data pipelines for large-scale applications.
• Clean, transform, and preprocess structured and unstructured data for analysis and integration.
• Manage and optimize SQL and NoSQL databases for data storage and retrieval.
• Implement and fine-tune Large Language Models (LLMs) for business-specific applications.
• Design conversational AI flows, ensuring logical and user-friendly interactions.
• Craft and optimize AI model prompts (Prompt Engineering) to achieve desired outcomes.

Required Skills and Qualifications:

• Strong knowledge of data structures and algorithms.
• Experience with API integration and tools like FastAPI.
• Expertise in LLM implementation and fine-tuning.
• Advanced skills in SQL and NoSQL database management.
• Proficiency in JSON/XML processing.
• Hands-on experience with Docker for infrastructure deployment.
• Advanced n8n workflow development expertise.
• Knowledge of conversational flow design for AI applications.
• Prompt engineering for AI model optimization.

Benefits:

• Remote-first position
• Opportunity to work on innovative projects
• Collaborative and inclusive team environment

We are seeking a highly skilled and experienced professional to lead our institutional data strategy, ensuring that data is accessible, interoperable, and reusable.

The successful candidate will be instrumental in designing and delivering our data-driven innovation strategy, bridging innovation and inclusion to support science decision-making and operational excellence.

Main Responsibilities:

• Develop and implement an institutional data strategy, spanning research operations governance, and knowledge systems.
• Oversee the design and governance of our federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across centers platforms, and programs.
• Advance data interoperability and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across our data lifecycle.
• Mobilize partnerships and funding to support our data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.

Requirements include an advanced degree in data science, information systems, statistics, computer science, or a related discipline, with a focus on data architecture governance, or applied analytics, as well as minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research public-good or international development organizations.

We offer competitive compensation, favorable taxation arrangements, and comprehensive employee benefits, including extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

To apply, please submit your application, including your CV, cover letter, and portfolio of work, demonstrating your experience and skills in data science and leadership.

We are an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from qualified candidates worldwide.

We are seeking a highly skilled and motivated AI Engineer to join our team. As an AI Engineer, you will play a key role in designing, building, and deploying intelligent solutions that interact with unstructured and structured data for advanced query and visualization use cases.

• Design and develop AI-driven applications leveraging Large Language Models (LLMs)
• Build and optimize workflows using frameworks like LangChain, LlamaIndex, or Haystack
• Engineer effective prompts for various use cases, ensuring accuracy and consistency
• Integrate text-to-SQL models to convert natural language queries into database operations
• Work with vector databases for semantic search and retrieval tasks
• Implement document processing pipelines including PDF ingestion, text chunking, and embedding generation
• Generate interactive data visualizations using Plotly, Vega-lite, or JSON-based charting tools
• Collaborate with data engineers, analysts, and product teams to deliver robust AI solutions

• Strong experience with LLM frameworks (e.g., LangChain, LlamaIndex, Haystack)
• Familiarity with LLM APIs such as OpenAI, Cohere, or local models via Hugging Face
• Hands-on experience with prompt engineering and model fine-tuning (preferred)
• Proficiency in vector databases: FAISS, Pinecone, or Chroma
• Solid understanding of document processing: text chunking, embedding strategies, and retrieval pipelines
• Knowledge of text-to-SQL model integration and query optimization
• Experience with data visualization tools: Plotly, Vega-lite, or equivalent
• Strong command of SQL and Python
• Excellent problem-solving skills and ability to work in a fast-paced environment

The ideal candidate will have a strong focus on developing applications using Large Language Models (LLMs) and related technologies.

• Opportunity to work with cutting-edge technologies
• Chance to collaborate with experienced professionals
• Contribution to the development of innovative AI solutions

• Employment type: Contract
• Seniority level: Not Applicable
• Industries: IT Services and IT Consulting

This is a challenging yet rewarding opportunity for individuals who are passionate about AI and technology.