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ai data scientists (cctv analytics) Jobs in Uae

ai data scientists (cctv analytics)

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

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>

IBS Software Services

<div><div><div><div><div>Job Title </div><div>Data Scientist
</div></div> 
<div><div>Location (s) </div><div>Dubai
</div></div> 
<div><div>Years of Experience </div><div>5-8yrs
</div></div> 
<div><div>Job Description </div><div>&acirc;&euro;&cent; Experience of implementing data science based solutions at at enterprise level is mandatory.
 
&acirc;&euro;&cent; Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models,
 
&acirc;&euro;&cent; Strong traditional Machine Learning experience mandatory,
 
&acirc;&euro;&cent; Preditive analytics, Classification/Probability algorithms
 
&acirc;&euro;&cent; Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making
 
&acirc;&euro;&cent; Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities
 
&acirc;&euro;&cent; Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making.
 
&acirc;&euro;&cent; Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data
 
&acirc;&euro;&cent; Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts.
 
&acirc;&euro;&cent; In model building and evaluation, engineer features and select relevant variables, develop and train predictive models, and then evaluate their performance using appropriate metrics
 
&acirc;&euro;&cent; Optimize data science workflows to enhance efficiency and continuously improve the accuracy of predictions by streamlining processes, adopting best practices, and iterating on model performance through regular updates and refinements. This involves automating tasks, improving data quality, and implementing advanced techniques to ensure precise and actionable outcomes
 
&acirc;&euro;&cent; Continuously monitor the performance of deployed models, identifying any degradation in accuracy or relevance and taking necessary steps to retrain or fine-tune them as needed.
 
&acirc;&euro;&cent; Conduct regular data quality assessments, implementing procedures and tools to ensure the accuracy, completeness, and consistency of data used for analysis and modeling.
 
&acirc;&euro;&cent; Foster a data-driven culture within the organization, continuously improving data science processes by adopting new technologies, exploring innovative methodologies, and refining models for better results.
 
</div></div> 
<div></div><div><div>&acirc;&euro;&cent; Experience of implementing data science based solutions at at enterprise level is mandatory.
 
&acirc;&euro;&cent; Python,R, TensorFlow, PyTorch, SQL, AWS Cloud Platform, SageMaker, BedRock, Gen AI Frameworks and models,
 
&acirc;&euro;&cent; Strong traditional Machine Learning experience mandatory,
 
&acirc;&euro;&cent; Preditive analytics, Classification/Probability algorithms
 
&acirc;&euro;&cent; Develop a comprehensive data science strategy for the organization by aligning data initiatives with business goals, identifying key data sources, establishing data governance and management practices, implementing advanced analytics and machine learning solutions, and fostering a data-driven culture to drive innovation and decision-making
 
&acirc;&euro;&cent; Collaborate with business stakeholders to define problem statements, set clear expected outcomes using data science and artificial intelligence, and identify actionable business benefits and opportunities
 
&acirc;&euro;&cent; Examine extensive datasets to identify significant trends, patterns, and correlations that can provide valuable insights and inform strategic decision-making.
 
&acirc;&euro;&cent; Apply statistical techniques, data visualization, and analytical tools to uncover underlying relationships and actionable information from complex and voluminous data
 
&acirc;&euro;&cent; Build and refine predictive models, implement machine learning algorithms, and assess their performance to provide actionable insights and forecasts.
 
&acirc;&euro;&cent; In model building and evaluation, engineer features and select relevant variables, develop and train predictive models, and then evaluate their performance using appropriate metrics
 
&acirc;&euro;&cent; Optimize data science workflows to enhance efficiency and continuously improve the accuracy of predictions by streamlining processes, adopting best practices, and iterating on model performance through regular updates and refinements. This involves automating tasks, improving data quality, and implementing advanced techniques to ensure precise and actionable outcomes
 
&acirc;&euro;&cent; Continuously monitor the performance of deployed models, identifying any degradation in accuracy or relevance and taking necessary steps to retrain or fine-tune them as needed.
 
&acirc;&euro;&cent; Conduct regular data quality assessments, implementing procedures and tools to ensure the accuracy, completeness, and consistency of data used for analysis and modeling.
 
&acirc;&euro;&cent; Foster a data-driven culture within the organization, continuously improving data science processes by adopting new technologies, exploring innovative methodologies, and refining models for better results.
 
</div></div> 
<div><div>Technical Qualifications 
</div><div>data Science, Machine learning</div></div></div></div></div>

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

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

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>

Avrioc Technologies

<div>
 
 
 Introduction
 
 
 
 As part of a cross-functional team of engineers, data scientists, and product owners you will be responsible for designing, implementing, optimizing, and evaluating our product (specific product language here) algorithms. If you love seeing your ideas blossom through their whole life cycle from concept to governing the interaction with millions of users - then Avrioc is the place to be for you!
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 MS degree in Statistics, Math, Data Analytics, or a related quantitative field
 </li>
 <li>
 4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
 </li>
 <li>
 Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
 </li>
 <li>
 Hand on experience with Deep Learning models such as Image classification, Object Detection, Style transfer and similar
 </li>
 <li>
 Hands-on experience with any of Python DL libraries such as PyTorch, TensorFlow on keras
 </li>
 <li>
 Hands-on experience with working on CUDA backend
 </li>
 <li>
 Hands-on experience with Linux system terminal, shell scripting
 </li>
 <li>
 Working knowledge of ELK stack and Message Broker queues
 </li>
 <li>
 Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
 </li>
 <li>
 Comfortable with cloud-based platforms (AWS, Azure, Google)
 </li>
 <li>
 Good planning abilities in order to accurately make project timeline estimates.
 </li>
 <li>
 Ability to show initiative and work independently with minimal direction.
 </li>
 <li>
 Demonstrate a desire to remain current with industry technologies and standards.
 </li>
 <li>
 Self-starter and strong interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Comfortable with cloud-based platforms (AWS, Azure).
 </li>
 <li>
 Good communication and presentation skills.
 </li>
 <li>
 Experience with media data (platforms and customer data from either the media agency, technology, or brand side).
 </li>
 <li>
 Good appreciation for the Agile/Scrum methodology
 </li>
 </ul>
 
 
</div>

Explore 769+ Data scientist in Uae this July. Find roles across top companies and apply now to boost your career.

769 data scientist jobs In Uae

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Research Data Scientist

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