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Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

Core42

<div>
 
 Data Scientist, Core42, Abu Dhabi &ndash; UAE
 
 
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 The opportunity
 
 
 
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
 </li>
 <li>
 Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
 </li>
 <li>
 Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
 </li>
 <li>
 Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
 </li>
 <li>
 Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
 </li>
 <li>
 Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
 </li>
 <li>
 Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
 </li>
 <li>
 Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Required skills / qualifications
 </li>
 <li>
 Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
 </li>
 <li>
 Minimum 10 years of general technological experience.
 </li>
 <li>
 At least 5 years of specific experience working as a data scientist within cloud environments.
 </li>
 <li>
 Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
 </li>
 <li>
 Mastery of data science, analytics, and advanced modeling techniques.
 </li>
 <li>
 Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
 </li>
 <li>
 Experience deploying AI/ML workloads in cloud or HPC environments.
 </li>
 <li>
 Solid understanding of cybersecurity best practices and secure data handling principles.
 </li>
 <li>
 Proven leadership skills, with experience managing or mentoring technical teams.
 </li>
 <li>
 Preferred skills / qualifications
 </li>
 <li>
 Experience building and deploying generative AI solutions at scale.
 </li>
 <li>
 Strong strategic planning and execution capabilities within complex technical environments.
 </li>
 <li>
 Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
 </li>
 <li>
 Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
 </li>
 <li>
 Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
 </li>
 </ul>
</div>

Data Scientist

Department of Finance - Abu Dhabi

<div>
 
 About The Department Of Finance &ndash; Abu Dhabi
 
 
 
 Established in 1966 with the objective of strengthening the financial sustainability of the Emirate, DoF is responsible for the development and execution of the Abu Dhabi government&rsquo;s annual budget and for overseeing government returns, expenditures, funding and liquidity. DoF does this by working closely in partnership with the relevant local government entities and the Abu Dhabi Executive Council.
 
 
 
 Job Purpose
 
 
 
 Under general directions, Data Scientist is primarily responsible to mine, clean, model, and interpret data to deliver business insights to DoF&rsquo;s business users through relevant tools, dashboards and reports.
 
 
 Key objectives for the role include (but not limited to):
 
 
 <ul>
 <li>
 Collaborate with product design and engineering to develop an understand business users&rsquo; needs
 </li>
 <li>
 Research and devise innovative statistical models for data analysis using advanced Machine Learning, NLP and AI technologies
 </li>
 <li>
 Design, develop and implement end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building and performance evaluation)
 </li>
 <li>
 Enable smarter business processes and implement advanced analytics solutions for meaningful insights
 </li>
 <li>
 Desing and implement databases integrations to enrich existing data sources
 
 
 </li>
 </ul>
 
 Essential Duties
 
 
 
 <ul>
 <li>
 Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through DoF&rsquo;s business capabilities and work closely with the engineering team to strategize and execute the development of data products
 </li>
 <li>
 Execute analytical experiments methodically to help solve problems and make true impact across the organisation
 </li>
 <li>
 Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
 </li>
 <li>
 Devise and utilize advanced algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
 </li>
 <li>
 Analyse data for trends, patterns and interpret data and develop advanced and accurate prediction algorithms with a clear business objective
 </li>
 <li>
 Implement advanced analytical models into production by collaborating with other software developers
 </li>
 <li>
 Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
 </li>
 <li>
 Develop agentic AI solutions using AI models (SLM, LLM) and other AI specific workflow automation tools
 
 
 </li>
 </ul>
 
 Generic Accountabilities
 
 
 
 
 Supervision
 
 
 
 <ul>
 <li>
 Plan, supervise and coordinate all activities in the assigned area to meet functional objectives
 </li>
 <li>
 When necessary, train and develop the direct reporting staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives
 
 
 </li>
 </ul>
 
 Budgets
 
 
 
 <ul>
 <li>
 Provide input for preparation of the department budgets and assist in the implementation of the approved budget and work plans to deliver department objectives
 </li>
 <li>
 Investigate and highlight any significant variances to support effective performance and cost control
 
 
 </li>
 </ul>
 
 Policies, Systems, Processes &amp; Procedures
 
 
 
 <ul>
 <li>
 Implement approved department policies, processes, systems, standards and procedures to support execution of the work programs in line with DoF and best international standards
 </li>
 <li>
 Comply with all applicable legislation and legal regulations
 
 
 </li>
 </ul>
 
 Performance Management
 
 
 
 <ul>
 <li>
 Contribute to the achievement of the approved Performance Objectives for the department in line with the organization performance framework
 
 
 </li>
 </ul>
 
 Innovation and Continuous Improvement
 
 
 
 <ul>
 <li>
 Design and implement new tools and techniques to improve the quality and efficiency of operational processes
 </li>
 <li>
 Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with industry best standards to define intelligent solutions
 
 
 </li>
 </ul>
 
 Health, Safety, Environment (HSE) and Sustainability
 
 
 
 <ul>
 <li>
 Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability guidelines in line with international standards, best practices and DoF Code of Practices
 
 
 </li>
 </ul>
 
 Reports
 
 
 
 <ul>
 <li>
 Provide inputs and prepare progress reports
 
 
 </li>
 </ul>
 
 Communications &amp; Working Relationships
 
 
 
 
 Internal
 
 
 
 <ul>
 <li>
 Daily interaction with business users, peers, IT staff, and other focal points to discuss and implement Machine Learning/AI solutions and other related projects
 
 
 </li>
 </ul>
 
 External
 
 
 
 <ul>
 <li>
 Federal and Local Entities at equivalent level to coordinate/participate on API and data integration
 </li>
 <li>
 Vendors and business solution providers for exchange of information &amp; technical/commercial clarifications
 
 
 </li>
 </ul>
 
 Qualifications, Experience, Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in statistics, applied mathematics, or related discipline
 </li>
 <li>
 Master&rsquo;s degree in stats, applied math, or related discipline
 </li>
 <li>
 7+ years of solid experience in data science
 </li>
 <li>
 Proficiency with data mining, mathematics, and advanced statistical analysis
 </li>
 <li>
 Advanced pattern recognition and predictive modelling experience
 </li>
 <li>
 Experience with Machine Learning and Python for forecasting, predictions and optimization
 </li>
 <li>
 Strong experience with SQL, Phyton, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, SciPy, NumPy, Anaconda, Jupyter Notebook, PyTorch and other similar tools
 </li>
 <li>
 Familiar with Spark, TensorFlow, Analysis Services, GitLab
 </li>
 <li>
 Comfortable working in a very dynamic environment with several ongoing concurrent projects
 
 
 </li>
 </ul>
 
 Other Technical Competencies
 
 
 
 <ul>
 <li>
 Experience in developing and documenting Standards and Processes
 </li>
 <li>
 Strong Communication, interpersonal and people management skills
 </li>
 </ul>
</div>

Senior Specialist - Data Science

Elios Talent

<div>
 
 🌟
 
 Senior Data Scientist
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Advanced Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Data Scientist
 
 based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 
 
 
 
 
 This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
 
 
 
 
 
 This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access, analyze, and interpret
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate machine learning model outputs and ensure alignment with operational expectations
 </li>
 <li>
 Tune local parameters to optimize predictive performance in field conditions
 </li>
 <li>
 Identify anomalies, data drift, and data quality issues in near real time
 </li>
 <li>
 Generate
 
 high-quality error metrics
 
 and structured evaluation reports
 </li>
 <li>
 Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
 </li>
 <li>
 Produce clear, thorough technical documentation to support cross-team workflows
 </li>
 <li>
 Communicate findings, concerns, and recommendations with precision and clarity
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi strongly preferred)
 </li>
 <li>
 Senior-level experience in data science, ML modeling, or applied analytics
 </li>
 <li>
 Strong understanding of time-series data, anomaly detection, and model validation workflows
 </li>
 <li>
 Experience working with operational or real-time industrial data (energy sector is a plus)
 </li>
 <li>
 Ability to independently evaluate models, tune parameters, and assess data quality
 </li>
 <li>
 Excellent written and verbal communication skills for U.S. and in-country collaboration
 </li>
 <li>
 Detail-oriented, structured, and highly reliable in fast-moving technical environments
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Acenet consulting

<div><div>Experience: 10 to 15 years
 
Location: Abu Dhabi
 
Job code: 101384
 
Posted on: Dec 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI/ML solutions and translate business requirements into scalable and secure AI system architectures.
<div>Key Responsibilities: 
<ul><li>Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.</li><li>Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.</li><li>Translate business requirements into scalable and secure AI system architectures.</li><li>Oversee the development and deployment of AI/ML models in production environments.</li><li>Guide data scientists, engineers, and developers in adopting AI best practices and technologies.</li><li>Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.</li><li>Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).</li><li>Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.</li><li>Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.</li><li>Mentor and lead technical teams; influence architectural decisions across business units.</li></ul></div>
<div>Role Requirements and Qualifications: 
1.AI/ML Expertise: 
<ul><li>Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.</li><li>Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.</li></ul>
2.Architecture &amp; System Design: 
<ul><li>Proven experience in designing scalable and secure cloud-native AI solutions.</li><li>Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.</li></ul>
3.MLOps &amp; DevOps: 
<ul><li>Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.</li><li>Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).</li></ul>
4.Data &amp; Integration: 
<ul><li>Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li><li>Strong leadership experience managing multidisciplinary AI/ML teams.</li><li>Ability to drive architecture governance, code quality, and technical standards.</li><li>Excellent communication and presentation skills to influence technical and non-technical stakeholders.</li><li>Strategic thinker with a passion for AI innovation and enterprise transformation.</li></ul>
 
Preferred Experience: 
<ul><li>10+ years of experience in software or data architecture roles, with 4&ndash;5 years focused on AI/ML.</li><li>Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.</li><li>Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).</li><li>Preferred Certifications:</li><li>AWS Certified Machine Learning &ndash; Specialty</li><li>Microsoft Azure AI Engineer Associate</li><li>Google Professional Machine Learning Engineer</li><li>TOGAF or other architecture frameworks (optional but valuable)</li><li>Responsible AI or ethical AI certifications (optional)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Solutions Lead

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are seeking a Lead Data Scientist to champion the use of AI and analytics within the organization. You will provide technical leadership, mentor a team of data scientists, and define the strategic direction for high-impact analytics projects.Responsibilities<ul><li>Lead and manage data science projects from conception to deployment, ensuring alignment with business goals.</li><li>Mentor and guide junior and intermediate data scientists, fostering a culture of technical excellence and innovation.</li><li>Interface with senior stakeholders to identify high-value use cases and define the scope of analytics initiatives.</li><li>Oversee the selection of appropriate methodologies and algorithms for complex projects.</li><li>Review code and models developed by the team to ensure quality and robustness.</li><li>Drive the adoption of best practices in data science, including reproducibility and documentation.</li><li>Stay abreast of the latest industry trends and technologies in AI/ML and assess their potential impact on the business.</li></ul>Requirements<ul><li>Experience: 5&ndash;15+ Years.</li><li>Extensive experience in developing and deploying machine learning solutions in a corporate environment.</li><li>Proven leadership experience, with the ability to manage teams and projects effectively.</li><li>Deep theoretical and practical knowledge of machine learning and statistics.</li><li>Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to executive leadership.</li><li>Experience with project management methodologies (Agile, Scrum).</li></ul>Bonus<ul><li>Experience leading data science teams in the Oil &amp; Gas industry.</li><li>Track record of publishing technical papers or speaking at industry conferences.</li><li>Strong business acumen and understanding of energy market dynamics.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED22,000.00 per month

Lead Data Scientist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs, lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in Fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div>

Sports Scientist and Data Analyst

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