14 Data Science jobs in the United Arab Emirates

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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A software development company is looking for a talented, long-term Lead DS Researcher.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team. You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

What we’re looking for :

• Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;
• Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);
• Solid experience with deep learning frameworks like PyTorch or TensorFlow;
• Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;
• Familiarity with medical or life science data is a strong plus;
• Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;
• Comfortable working in Google Cloud Platform (GCP) environments.

Bonus points for experience with :

• State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;
• Experience with pipeline orchestration tools like Airflow, Argo, etc.;
• Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;
• Intermediate+ English — ability to participate in written discussions with international teams and clients.

Benefits :

• Join a mission-driven team working at the intersection of data, medicine, and impact;
• Work on meaningful challenges with long-term value for public health and healthcare quality;
• Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;
• Fully remote-friendly setup with flexibility and trust at the core.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

Reports to : Chief Digital Transformation Officer

Location : Abu Dhabi, United Arab Emirates

Grade : SO7 / CG12

Date Published : 13 May 2025

Closing Date for Applications : 4 June 2025 at 16 : 00 CEST

About CGIAR

CGIAR is a global research partnership for a food-secure future. CGIAR science is dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources and ecosystem services. Its research is conducted closely with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations, and the private sector.

About the position

Data is the foundation of scientific innovation and institutional transformation. As CGIAR advances a bold agenda to transform food, land, and water systems, the Practice Lead for Data Science will be responsible for designing and delivering CGIAR’s institutional data strategy—ensuring data is findable, accessible, interoperable, and reusable (FAIR), while driving data-driven impact across both science and operations.

CGIAR’s Digital Transformation Accelerator (DTA), part of its P25 portfolio, is driving the digital transformation of CGIAR and it’s mission. With strong institutional and human capacity, the DTA aims to harness the power of ML, LLMs and other AI approaches, robotics, data science, and cybersecurity to create global public goods that enable smallholder farmers to benefit from the digital revolution, the DTA therefore aims to pave the way for a more equitable, sustainable, and inclusive transformation of small-holder production systems.

A key enabler of the DTA is strategic partnerships with leading technology companies and experts. The UAE Presidential Court has pledged support for the establishment of a CGIAR AI Hub in Abu Dhabi (Hub). The Hub will provide essential AI, data, cyber security capacities to CGIAR’s science programs, Centers, partners, and technology actors, offering direct access to key players in the global technology ecosystem. Through collaborations, the Hub will co-develop innovations such as, agriculture-specific LLMs and computer-vision-assisted phenotyping approaches.

Based in Abu Dhabi at the Hub and hosted by the UAE’s Advanced Technology Research Council (ATRC), the Practice Lead for Data Science will work at the forefront of CGIAR’s global data ecosystem transformation. The role will be instrumental in leading CGIAR’s shift toward federated, AI-ready, and user-centric data systems—bridging innovation and inclusion to support science, decision-making, and operational excellence.

Key Responsibilities

Purpose

• Lead the development and implementation of CGIAR’s institutional data strategies, spanning research, operations, governance, and knowledge systems.
• Oversee the design and governance of CGIAR’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 CGIAR’s data lifecycle.
• Mobilize partnerships and funding to support CGIAR’s data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.
• Identify, communicate, and mitigate potential risks associated with institutional data systems and data management, in line with the CGIAR System risk management framework.

Engagement

Delivery

Requirements

Education and Experience

Key Competencies

Language

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, subject to eligibility, 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.

Submitting Your Application

All applications must be submitted online by clicking the 'Apply' button below. If you require assistance or face challenges in submitting your application, please email with the position title in the subject line. Please note we will not accept applications through this email.

Please ensure that your resume and cover letter are in English and do not contain your marital status, age, or photograph. Documents provided in a language other than English will not be considered.

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 email your request to and include “Diversity and Inclusion Accommodation” in the subject line.

All received applications will be acknowledged; however, only shortlisted applicants will be contacted.

We look forward to hearing from you!

Mohamed bin Zayed University of Artificial Intelligence : Academic Affairs Division : Statistics and Data Science

Location

Abu Dhabi

Open Date

Mar 20, 2026

Description

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 open-rank, tenured / 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.

Qualifications

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2025. 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.

Application Instructions

To apply for this position, please submit the following :

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

Be a part of AI's future – apply today at MBZUAI

MBZUAI #careeropportunities #AI

Job Title: Data Science Specialist

Our organization is seeking an experienced data science specialist to deliver high-quality data insights and strategic recommendations.