What Jobs are available for Data Scientists in Abu Dhabi?

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

• Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
• Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
• Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
• Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
• Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
• Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
• Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
• Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
• Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
• Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
• Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
• Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
• Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
• Strong understanding of data structures, data modeling, and software architecture.
• Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
• Good understanding of data management principles, data warehousing, and business intelligence concepts.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry
• Exceptional Benefits:
  - Comprehensive health & life insurance
  - Relocation support for international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

1. Cover letter
2. Curriculum Vitae
3. Statement of research vision and interests
4. Statement of teaching philosophy and experience
5. List of publications
6. Up to three representative publications
7. Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)

Job details

Title: Statistics and Data Science - Assistant Professor Tenure Track

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI research and education, MBZUAI invites applications for a faculty position.

Location : Abu Dhabi, United Arab Emirates

Open Date : Aug 31, 2025

Deadline : Jul 31, 2026 at 11:59 PM Eastern Time

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multicultural environment. The Department of Statistics and Data Science focuses on the rigorous statistical and probabilistic foundations of machine learning and data science, with emphasis on computational methods for large-scale data and scalable inference techniques. Research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, and fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: Resources and academic freedom to foster groundbreaking AI advancements
• Exceptional Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi: A safe, culturally rich city with modern amenities
• Industry & Government Collaborations: Opportunity to work with top AI researchers, leading tech firms, and policymakers

The Department invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members will have opportunities to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. The department focuses on rigorous statistical and probabilistic foundations of ML and data science, emphasizing computational methods for large-scale data and scalable inference. Current research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. Interdisciplinary research across decision sciences, healthcare, climate science, and computational biology is encouraged, including collaboration with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (reference letters from applicants will not be accepted; each referee will be contacted to upload their reference letter via Interfolio)

MBZUAI is an equal opportunity employer and is committed to fostering a diverse academic community. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, free of charge.

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected status and require affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, or national origin, as well as protected veteran status or disability.

Job details

Title: Statistics and Data Science - Associate/Full Professor Tenured

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI Re.

MBZUAI is on a mission to become a global leader in artificial intelligence.

Location: Abu Dhabi, United Arab Emirates

Open Date: Aug 01, 2025

Deadline: Jul 31, 2026 at 11:59 PM Eastern Time

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for Associate / Full Professors for a faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members at MBZUAI have the opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our institution emphasizes computational methods for large-scale data and scalable inference techniques, with current research including statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI, and interdisciplinary collaboration with healthcare, climate science, and computational biology.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: Resources and academic freedom to foster AI advancements
• Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• State-of-the-Art Research Facilities
• Live in Abu Dhabi: World’s safest city, year-round sunshine, culture, and modern amenities
• Industry & Government Collaborations

• Contribute to high-quality instruction at the undergraduate, graduate, and PhD levels
• Mentor graduate students and supervise research activities
• Shape curriculum development within the Department of Statistics and Data Science
• Engage in interdisciplinary research at the intersection of statistics, data science, and AI
• Collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges

This position requires a PhD in Statistics, Computer Science or a closely related field. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (referee letters uploaded via Interfolio; letters are collected at a later stage of the process)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected veterans status or disability, and prohibit discrimination based on race, color, religion, sex, or national origin. Covered prime contractors and subcontractors are to take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

• Top-tier compensation aligned with leading global academic institutions
• Research funding and academic freedom to foster groundbreaking AI advancements
• Exceptional benefits, including relocation support for international faculty
• State-of-the-art research facilities with advanced AI labs and high-performance computing
• Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
• Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

• Curriculum Vitae with key publications and teaching experience
• A statement of teaching philosophy, vision, and interests
• Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Company : Galaxeer Space Consultancy LLC

Date Posted :

Institution: Galaxeer Space Consultancy LLC (Abu Dhabi, UAE)
Deadline for Application: July 25, 2025; 5:00 PM
Project Title: Development of a Python-based AI/ML Library for Space Applications Project Leader: Dr. Florence Wong
Duration: August-September 2025 (subject to extension)
Salary: Php 28,000/month (+ performance-based incentives)
Tentative schedule of interviews: July 28, 2025 (afternoon)

We’re developing a Python library for various applications in space. Accepted applicants will work remotely and coordinate with our team in the UAE for an initial period subject to extension.

Qualifications,Duties and Responsibilities:

• Bachelor’s Degree or higher in Computer Science or relevant to the job
• Experience working with CNN/GNN convolution layers
• Lead the design, implementation, and optimization of architecture of CNN/GNN convolution layers.
• Drive architectural innovation and decision-making.
• Mentor RAs and coordinate integration of new components.
• Actively participate in model tuning, evaluation, and quality assurance.

Interested and qualified applicants should signify their interest in writing. Please attach the following documents to the application letter and send to :

• Resume/CV
• A 30-second video outlining relevant CNN/GNN coding experience Subject: Senior ML Engineer for Galaxeer Project

Selected candidates will be invited for a coding interview and test; candidates who successfully pass the coding interview will be invited to a general interview to determine the candidate’s fit for the role and company culture.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

EchoTwin AI is seeking a Data Scientist to drive data-driven decision-making and evaluate the real-world impact of deployed systems. As a key member of our small but impactful team, you will work at the intersection of data analytics, machine learning, and business strategy to provide actionable insights. This role offers a unique opportunity to collaborate with transit agencies, product teams, finance, engineering, and company leadership to solve complex problems and unlock new opportunities using data.

• Design and implement data-driven solutions to support strategic decision-making across the company.

• Develop rigorous methods to assess transit performance and broader impacts across all deployment stages, controlling for confounders and external factors.

• Analyze structured and unstructured data to identify trends, anomalies, and opportunities that can enhance product offerings and operational efficiencies.

• Collaborate with engineering teams to operationalize models and ensure seamless integration into our data pipelines.

• Build and maintain dashboards and reports that track key performance indicators (KPIs) to provide transparency and drive business goals.

• Conduct exploratory data analysis (EDA) to inform product development and business strategies.

• Act as a data advocate by effectively communicating findings and recommendations to technical and non-technical stakeholders.

• Contribute to developing scalable data science workflows and best practices within the organization.

• Master’s or PhD in Data Science, Statistics, Computer Science, Economics, or a related field.

• 5+ years of experience in data science, machine learning, or a related field, with a track record of delivering impactful data solutions.

• Proficiency in Python and experience with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

• Strong experience with SQL and working knowledge of data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

• Expertise in statistical analysis, machine learning algorithms, and model evaluation techniques.

• Familiarity with data pipeline tools and frameworks such as Airflow, DBT, or similar.

• Experience working with visualization tools like Tableau or Looker to translate insights into actionable recommendations.

• Excellent problem-solving skills with the ability to analyze complex data and provide clear, data-driven insights.

• Strong communication skills with the ability to present findings to both technical and business audiences.

• Experience working with cloud platforms, especially AWS, and deploying models using cloud-based services.

• Familiarity with geospatial analytics and processing spatial datasets.

• Experience working with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

• Prior experience in a startup environment and a desire to make a significant impact.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.