senior data scientist (6 months contract)

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senior data scientist

senior data scientist (6 months contract) Jobs in Abu Dhabi

analytical data scientist

Insight

<div>
 
 About The Role
 
 
 
 As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive business value for our clients. Working within a global delivery model, you will collaborate closely with engineering teams and stakeholders to design, build, and deploy advanced analytics and machine learning solutions.
 
 
 This is an exciting opportunity to work with cutting-edge technologies in a collaborative, fast-paced environment, contributing to high-impact projects across multiple industries.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyse and interpret large, complex datasets from multiple sources
 </li>
 <li>
 Apply data mining, machine learning, and statistical techniques to solve business problems
 </li>
 <li>
 Design and build predictive models and algorithms
 </li>
 <li>
 Identify valuable data sources and automate data collection processes
 </li>
 <li>
 Pre-process structured and unstructured data for analysis
 </li>
 <li>
 Discover patterns, trends, and insights to support decision-making
 </li>
 <li>
 Develop and present insights using data visualisation tools
 </li>
 <li>
 Collaborate with client and internal engineering teams to integrate models into applications
 </li>
 <li>
 Recommend data-driven solutions and strategies to business challenges
 
 
 
 </li>
 </ul>
 
 Essential Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist or similar role
 </li>
 <li>
 Strong knowledge of machine learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python or R
 </li>
 <li>
 Experience with data science libraries/tools (e.g. NumPy, Weka, MatLab)
 </li>
 <li>
 Experience with data visualisation tools and query languages
 </li>
 <li>
 Experience working with NoSQL databases (MongoDB, Cassandra, HBase)
 </li>
 <li>
 Strong experience handling structured and unstructured data.
 
 
 
 </li>
 </ul>
 
 Core Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and statistical problem-solving skills
 </li>
 <li>
 Solid foundation in mathematics and statistics
 </li>
 <li>
 Ability to translate complex data into business insights
 </li>
 <li>
 Excellent communication skills, with the ability to engage stakeholders at all levels
 </li>
 <li>
 Critical thinking and a proactive, solution-oriented mindset
 </li>
 <li>
 Collaborative team player with strong interpersonal skills
 </li>
 </ul>
</div>

Data Scientist

Saal.ai

<div>
 
 
 Job Purpose
 
 
 
 As a Data Scientist at SAAL.ai, you will apply machine learning and deep learning techniques to solve real-world business problems across numeric and text-based analytics. You will work across the full data science lifecycle&mdash;from data acquisition and feature engineering to model development and deployment&mdash;collaborating closely with engineering, product, and DevOps teams to deliver customer-centric AI solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deliver high-quality machine learning and deep learning models across a broad range of analytics use cases.
 </li>
 <li>
 Understand the practical scope and constraints of AI models within products and apply appropriate modeling techniques to ensure business relevance and technical robustness.
 </li>
 <li>
 Acquire data from diverse sources, performing data exploration and preprocessing on structured and unstructured datasets, conducting feature engineering, evaluating algorithms and architectures, and iteratively refining models to improve performance.
 </li>
 <li>
 Identify valuable data sources and automate data collection and preparation processes where possible.
 </li>
 <li>
 Build, fine-tune, and maintain machine learning pipelines, integrate algorithms and packages into the platform, and contribute new models to the platform marketplace.
 </li>
 <li>
 Collaborate closely with engineering and DevOps teams to support model deployment and operationalization.
 </li>
 <li>
 Contribute to applied research activities, propose data-driven solutions to business challenges, and work with product, support, and client-facing teams to ensure successful rollout of AI solutions into trials and general availability.
 </li>
 </ul>
 
 
 
 
 
 Key Skills
 
 
 <ul>
 <li>
 Strong foundation in the theory and applied practice of machine learning and deep learning. Experience developing pipelines for structured and unstructured data.
 </li>
 <li>
 Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch, and machine learning libraries such as scikit-learn.
 </li>
 <li>
 Proficiency in Python, with working knowledge of Java or R.
 </li>
 <li>
 Experience developing and exposing models through RESTful APIs and containerized deployments using Docker.
 </li>
 <li>
 Strong coding practices, including appropriate use of data structures and clean, maintainable code.
 </li>
 <li>
 Applied experience in NLP, including the use of transformer-based models and libraries such as Hugging Face, spaCy, or Gensim. Familiarity with SQL, Pandas, Apache Spark, and data processing at scale.
 </li>
 <li>
 Experience using ML lifecycle tools such as MLflow.
 </li>
 <li>
 Strong analytical thinking, communication skills, and the ability to present technical concepts clearly to internal and external stakeholders.
 </li>
 <li>
 Ability to work collaboratively across multidisciplinary teams.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills
 
 
 
 Experience working with large language models (LLMs), including offline deployment scenarios. Exposure to cloud-based environments (AWS, GCP, Azure). Experience with data visualization tools and collaborative environments such as Jupyter Notebooks and Git-based workflows. Domain experience with education or finance datasets is an advantage.
 
</div>

Arab Monetary Fund

<div>
 
 
 Job Purpose:
 
 
 
 The Data Scientist supports the design and implementation of advanced data analytics solutions to enhance AMF&rsquo;s research, policy analysis, and decision-making capabilities. The role focuses on applying machine learning, AI, and statistical modelling to unlock insights, strengthen data integration, and advance innovation within the organization.
 
 
 
 
 
 Roles and Responsibilities
 
 
 Key Accountabilities
 
 <ul>
 <li>
 Design and implement statistical models, machine learning algorithms, and AI tools for large-scale structured and unstructured data
 </li>
 <li>
 Conduct predictive and prescriptive analytics to support economic and financial policy initiatives
 </li>
 <li>
 Continuously enhance models for performance, accuracy, and scalability
 </li>
 <li>
 Clean, transform, and manage diverse data sources using automated ETL pipelines
 </li>
 <li>
 Collaborate with IT to optimize data infrastructure for secure and efficient access
 </li>
 <li>
 Ensure data quality and alignment with organizational data architecture standards
 </li>
 <li>
 Partner with research teams on data-driven approaches for frontier topics (e.g., digital economy, AI, climate, financial innovation)
 </li>
 <li>
 Apply advanced techniques such as deep learning and NLP to enhance research
 </li>
 <li>
 Monitor developments in data science and introduce relevant tools and techniques
 </li>
 <li>
 Develop dashboards and visualizations to communicate insights to policymakers
 </li>
 <li>
 Create data storytelling outputs for publications, policy discussions, and training
 </li>
 <li>
 Ensure consistent and accessible data presentation across platforms and reports
 </li>
 <li>
 Comply with data protection regulations, internal policies, and ethical AI standards
 </li>
 <li>
 Support implementation of data governance frameworks and quality standards
 </li>
 <li>
 Participate in audits and compliance reviews related to data use and access
 </li>
 </ul>
 
 
 
 
 
 Job Qualifications and Requirements:
 
 
 
 
 
 
 
 Knowledge and Experience:
 
 
 <ul>
 <li>
 Minimum 5 years of experience in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Machine learning
 </li>
 <li>
 Advanced analytics
 </li>
 <li>
 Preferably within economic, financial, or public policy sectors
 </li>
 <li>
 Proven ability to develop predictive models and deliver actionable insights
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in:
 </li>
 <li>
 Data science
 </li>
 <li>
 Computer science
 </li>
 <li>
 Statistics
 </li>
 <li>
 Economics Or a related field
 </li>
 </ul>
 
 
 
 
 
 Certifications (Preferred):
 
 
 <ul>
 <li>
 Recognized certifications such as:
 </li>
 <li>
 Google Data Analytics
 </li>
 <li>
 IBM Data Science
 </li>
 <li>
 SAS
 </li>
 <li>
 CAP (Certified Analytics Professional)
 </li>
 </ul>
 
 
 
</div>

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 About The Role
 
 
 
 Analyze complex datasets, develop machine learning models, conduct experimentation, and generate actionable business insights to support data-driven decision-making and business innovation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, analyze, and prepare structured and unstructured datasets.
 </li>
 <li>
 Design, develop, and evaluate predictive and machine learning models.
 </li>
 <li>
 Conduct data analysis and experimentation to validate hypotheses and improve model performance.
 </li>
 <li>
 Generate actionable business insights through statistical analysis and data modelling.
 </li>
 <li>
 Create dashboards, visualizations, and analytical reports.
 </li>
 <li>
 Present findings and recommendations to business and technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to solve business challenges using data.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 3&ndash;8 years of experience in data science or advanced analytics.
 </li>
 <li>
 Strong programming skills in Python and SQL.
 </li>
 <li>
 Experience with statistical analysis, machine learning, and predictive modelling.
 </li>
 <li>
 Experience with data visualization tools and communicating analytical findings.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Power BI, Tableau, or similar data visualization tools.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop).
 </li>
 <li>
 Experience with cloud-based analytics or machine learning platforms.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://jaheziya.ae/ Job Function: Data Science &amp; AI Company Industry/
 
 
 Sector: Emergency and Relief Services
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 Zayed Center for Health Sciences, United Arab Emirates University, invites applications for a Research Data Scientist to join the multidisciplinary team supporting the landmark prospective mother-and-child cohort study, the Mutaba'ah Study. The Mutaba'ah Study is the first and largest prospective mother-and-child cohort study in the United Arab Emirates. Established in 2017, the study follows more than 18,000 pregnancies and their children from pregnancy through infancy, childhood, and adolescence. The study provides a unique national platform for investigating the developmental origins of health and disease and generating evidence to improve maternal and child health policy and practice in the UAE and beyond. Position Overview The successful candidate will play a central role in the management, curation, integration, and analysis of large-scale epidemiological and healthcare datasets. The position offers an exciting opportunity to contribute to a nationally significant research infrastructure while working closely with epidemiologists, clinicians, biostatisticians, public health researchers, and artificial intelligence specialists. The Data Scientist will support the development of high-quality research datasets and reproducible data workflows that underpin a broad portfolio of scientific projects in maternal, neonatal, child, and population health. Key Responsibilities Under the supervision of the Principal Investigator and the project Data Manager, the successful candidate will: Data Management and Infrastructure
 
 
 <ul>
 <li>
 Manage, maintain, and enhance large longitudinal research databases and data repositories.
 </li>
 <li>
 Develop and implement robust data quality assurance and validation procedures.
 </li>
 <li>
 Integrate and harmonize data from multiple sources, including electronic medical records, questionnaires, laboratory systems, and research databases.
 </li>
 <li>
 Support the development and maintenance of the study data warehouse and research databank infrastructure.
 </li>
 <li>
 Ensure compliance with data governance, privacy, confidentiality, and security requirements. Data Processing and Analytics&middot; Perform data cleaning, transformation, validation, and preprocessing of large datasets.
 </li>
 <li>
 Construct derived variables and analytical datasets according to predefined research protocols.
 </li>
 <li>
 Develop reproducible workflows for data preparation and analysis.
 </li>
 <li>
 Conduct descriptive analyses and generate reports, dashboards, tables, and visualizations.
 </li>
 <li>
 Support advanced statistical, machine learning, and predictive modeling projects. Documentation and Research Support
 </li>
 <li>
 Prepare and maintain data dictionaries, metadata repositories, data mapping documents, and standard operating procedures.
 </li>
 <li>
 Support investigators, graduate students, and collaborators in accessing and utilizing study data.
 </li>
 <li>
 Contribute to scientific outputs, including reports, conference presentations, and peer-reviewed publications.
 </li>
 <li>
 Participate in multidisciplinary research meetings and project activities. What We Offer
 </li>
 <li>
 Opportunity to work on one of the largest and most important population-based cohort studies in the Middle East.
 </li>
 <li>
 A collaborative and multidisciplinary research environment.
 </li>
 <li>
 Opportunities for professional development, scientific publications, and conference participation.
 </li>
 <li>
 Exposure to cutting-edge research in epidemiology, public health, health informatics, and artificial intelligence applications in healthcare.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 Bachelor's degree in:
 
 
 <ul>
 <li>
 Data Science
 </li>
 <li>
 Computer Science
 </li>
 <li>
 Health Informatics
 </li>
 <li>
 Bioinformatics
 </li>
 <li>
 Statistics/Epidemiology
 </li>
 <li>
 or a closely related discipline.
 </li>
 <li>
 Demonstrated experience working with large datasets.
 </li>
 <li>
 Strong understanding of database management principles.
 </li>
 <li>
 Familiarity with healthcare or biomedical data environments.
 </li>
 <li>
 Knowledge of medical terminology is essential.
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Master's degree in Data Science, Health Informatics, Biostatistics, Epidemiology, Computer Science, or a related field.
 </li>
 <li>
 Experience working in academic, healthcare, public health, or epidemiological research settings.
 </li>
 <li>
 Experience supporting large cohort studies, registries, or clinical databases.
 </li>
 <li>
 Experience with machine learning or predictive analytics.
 </li>
 <li>
 Evidence of participation in scientific publications or research projects.
 
 
 </li>
 </ul>
 Expected Skills
 
 
 The ideal candidate will demonstrate: Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in Python and/or R.
 </li>
 <li>
 Experience with SQL and relational database systems.
 </li>
 <li>
 Working knowledge of Stata.
 </li>
 <li>
 Experience with reproducible data analysis workflows.
 </li>
 <li>
 Experience handling large and complex datasets.
 </li>
 <li>
 Familiarity with Electronic Medical Record (EMR) systems.
 </li>
 <li>
 Knowledge of clinical coding systems (ICD-9, ICD-10, SNOMED, or equivalent). Professional Skills
 </li>
 <li>
 Excellent analytical and problem-solving abilities.
 </li>
 <li>
 Exceptional attention to detail.
 </li>
 <li>
 Strong organizational and project management skills.
 </li>
 <li>
 Ability to work independently and manage multiple priorities.
 </li>
 <li>
 Strong communication and interpersonal skills.
 </li>
 <li>
 Commitment to data confidentiality, ethical research conduct, and data security.
 </li>
 <li>
 Ability to collaborate effectively within multidisciplinary teams.
 
 
 </li>
 </ul>
 Special Instructions to Applicant
 
 
 Please submit:
 
 
 <ul>
 <li>
 Cover letter describing interest and suitability for the position.
 </li>
 <li>
 Full curriculum vitae.
 </li>
 <li>
 Contact of at least two referees,
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/08/2026
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Research Data Scientist

Antal International

<div>
 
 Antal International is collaborating with one of the UAEs leading government entities on a landmark initiative to modernize and strengthen the nation&rsquo;s financial infrastructure.
 
 
 
 
 
 This transformative program is driving the future of banking and financial services through
 
 AI, data analytics, and advanced digital technologies
 
 , including the development of next-generation AI-powered financial platforms.
 
 
 
 
 
 We are now looking to engage exceptional
 
 AI professionals (UAENationals and Expats)
 
 to be part of this high-impact transformation journey.
 
 
 
 
 
 
 
 ROLES IN DEMAND INCLUDE:
 
 
 
 <ul>
 <li>
 AI / Machine Learning Engineers
 </li>
 <li>
 AI/ ML Data Analyst
 </li>
 <li>
 Data Scientist (AI/ML Focus)
 </li>
 <li>
 Data Scientists &amp; Data Engineers
 </li>
 <li>
 AI Product &amp; Platform Specialists
 </li>
 <li>
 AI Digital Transformation Experts
 </li>
 <li>
 Analytics &amp; AI Strategy Professionals
 </li>
 </ul>
 
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML models and data-driven solutions to solve complex business problems
 </li>
 <li>
 Work on end-to-end machine learning lifecycle including data collection, feature engineering, model training, evaluation, and deployment
 </li>
 <li>
 Build scalable data pipelines and support data engineering activities for structured and unstructured data
 </li>
 <li>
 Perform advanced data analysis to generate actionable insights for business and technology stakeholders
 </li>
 <li>
 Collaborate with product teams to integrate AI capabilities into digital platforms and applications
 </li>
 <li>
 Support AI-driven digital transformation initiatives across business functions
 </li>
 <li>
 Develop dashboards, analytics frameworks, and reporting systems for decision-making
 </li>
 <li>
 Contribute to AI strategy, experimentation, and innovation initiatives
 </li>
 <li>
 Ensure model performance, optimization, and continuous improvement in production environments
 </li>
 <li>
 Work closely with cross-functional teams including product, engineering, and business stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 REQUIRED SKILLS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field
 </li>
 <li>
 Strong understanding of
 
 AI, Machine Learning, and Data Analytics concepts
 
 </li>
 <li>
 Experience with Python, SQL, and data processing frameworks
 </li>
 <li>
 Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Knowledge of data engineering tools and cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Experience in building dashboards and analytical models is an advantage
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills
 </li>
 <li>
 Ability to work in fast-paced, agile, and transformation-driven environments
 </li>
 </ul>
 
 
 
 
 
 
 WHAT YOU&rsquo;LL WORK ON
 
 
 
 <ul>
 <li>
 Building and deploying AI/ML models and intelligent systems
 </li>
 <li>
 Developing scalable data pipelines and analytics solutions
 </li>
 <li>
 Driving AI-powered digital transformation initiatives
 </li>
 <li>
 Collaborating with product, engineering, and business teams
 </li>
 <li>
 Delivering insights and solutions that impact real business outcomes
 </li>
 </ul>
 
 
</div>

AI, Data & Digital Transformation Professionals (UAEN & Expats)

Masdar

<div>Company Description 
Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.
Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).
Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030. 
Job Description 
To support the development of analytics, AI, and data products while building foundational capabilities, as part of Masdar&rsquo;s national-talent development within the AI Products &amp; Analytics Technology CoE.
Key Accountabilities :<ul><li>
Perform data preparation, cleaning, and analysis.</li><li>
Support the development of analytical models and data pipelines across key use cases</li><li>
Assist in implementing machine learning, statistical, and optimization models under guidance from senior team members</li><li>
Perform data cleaning, preprocessing, and exploratory data analysis (EDA)</li><li>
Translate analytical outputs into clear insights, visualizations, and reports</li><li>
Support the delivery of data-driven recommendations to inform operational and strategic decisions</li><li>
Contribute to dashboards and tools that enhance visibility into performance and forecasts</li><li>
Develop dashboards and reports on the CoE&rsquo;s BI platforms.</li><li>
Support AI model development, testing, and documentation.</li><li>
Work closely with the Senior Decision Scientist to Build and refine models, Validate results and ensure quality outputs, and Understand business context and decision frameworks</li><li>
Participate in code reviews, model reviews, and knowledge-sharing sessions</li><li>
Ensure high standards of data integrity, quality checks, and documentation</li><li>
Work with structured and unstructured datasets from multiple sources</li><li>
Support the maintenance of reproducible and well-documented codebases</li><li>
Build foundational skills in data science, AI, and platform tools through structured development.</li><li>
Apply best practices in coding, modeling, and analytics inspired by industry-leading organizations</li><li>
Engage with stakeholders across operations, digital, and strategy teams to understand data needs</li><li>
Support the translation of business questions into analytical tasks</li><li>
Communicate findings in a clear and structured manner appropriate for different audiences</li></ul> 

Qualifications 
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related field; UAE National (National Talent programme). Strong foundation in statistics, linear algebra, and data analysis.
</li></ul>Preferred Experience:<ul><li>
1&ndash;3 years of experience in data science, analytics, or related fields (internships included)</li><li>
Job-Exposure to energy, utilities, or financial analytics is advantageous but not mandatory</li><li>
Demonstrated experience working on data-driven projects (academic or professional)</li></ul>
Technical Skills:<ul><li>
Proficiency in Python, SQL, or similar programming languages</li><li>
Familiarity with:</li><li>
Data analysis libraries (e.g., Pandas, NumPy)</li><li>
Visualization tools (e.g., Power BI, Tableau, Matplotlib)</li><li>
Basic machine learning concepts and frameworks</li><li>
Understanding of data pipelines and data wrangling techniques</li><li>
Exposure to cloud platforms or big-data tools is a plus</li></ul>
Behavioral Competencies:<ul><li>
Strong analytical thinking and problem-solving skills</li><li>
Curiosity and eagerness to learn and grow in a fast-paced environment</li><li>
Ability to take direction, absorb feedback, and continuously improve</li><li>
Good communication skills with the ability to explain findings clearly</li><li>
Collaborative mindset and strong attention to detail</li></ul> 
Role is to be based in Abu Dhabi, UAE. 
Additional Information<div></div> 
As part of the application process, we will collect, store and process personal information about you.
Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.</div>

Associate Data / Decision Scientist (UAEN)

Explore 278+ Analytical data scientist in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

278 analytical data scientist jobs In Abu Dhabi

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Research Data Scientist

AI, Data & Digital Transformation Professionals (UAEN & Expats)

Associate Data / Decision Scientist (UAEN)