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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

Visionary Tech Services LLC

<div>As a Senior Decision Scientist at VTS, you will own the design and delivery of complex decision systems. You&rsquo;ll lead the translation of ambiguous goals into robust models and decision products, combining optimisation, simulation, causal evidence and GenAI to inform policy and automation and realise value for our clients.
Requirements<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s in Operations Research, Econometrics, Industrial Engineering, Applied Mathematics, Data Science, or a related quantitative field. PhD preferred.</li>
<li>6+ years practical experience with optimisation (LP/MILP, heuristics) and simulation (DES/ABM), plus working knowledge of causal inference or experimentation at scale</li>
<li>Demonstrated ownership of end&#8209;to&#8209;end decision solutions in production or pilots</li>
<li>Proficient in Python and SQL with strong engineering practices; comfortable with containers and CI/CD; experience integrating models into services, workflows, or apps</li>
<li>Able to choose and justify methods, diagnose performance, and communicate trade&#8209;offs to technical and non&#8209;technical stakeholders</li>
<li>Experience mentoring others and establishing modelling standards and review practices</li>
<li>Problem framing: Lead discovery to define decision objectives, constraints, KPIs, and data readiness; quantify expected value and risks</li>
<li>Architecture and methods: Select modelling approaches, design modular architectures, and combine optimisation, simulation, and causal evidence when appropriate</li>
<li>Build and scale: Implement core models, performance&#8209;tune solvers/simulators, and integrate with data pipelines, APIs, and front&#8209;end experiences</li>
<li>Experimentation and evaluation: Design robust experiments or quasi&#8209;experiments; set evaluation protocols, stress tests, and rollback plans</li>
<li>Reuse and standards: Create reusable components, templates, and documentation; uplift code quality, testing, and observability</li>
<li>Stakeholder leadership: Run technical workshops, translate insights into decisions, and drive adoption with clear narratives and visuals</li>
<li>Mentorship: Review associate work, coach on method selection and design, and help set sprint scope and acceptance criteria</li></ul></div>

Senior Decision Scientist

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

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

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

<div>
 
 🌟
 
 Senior Physics Engineer (or Hybrid Data Scientist)
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Physics-Driven Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Physics Engineer
 
 &mdash;or a hybrid engineer/data scientist with strong physics-based modeling experience&mdash;to support real-time well data operations in the UAE. The ideal candidate is analytical, detail-oriented, and highly capable of validating and improving models in field conditions.
 
 
 
 
 
 You will serve as a critical link between In-Country operations and U.S.-based engineering teams, ensuring that model outputs are accurate, parameters are properly tuned, and anomalies or data integrity issues are quickly surfaced. Strong technical communication and documentation skills are essential for enabling seamless global collaboration.
 
 
 
 
 
 This role is perfect for someone who blends applied physics knowledge with modern data analysis and who excels in high-impact, real-time operational environments.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access and analyze
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate
 
 physics-based and hybrid ML model outputs
 
 to ensure alignment with real-world behavior
 </li>
 <li>
 Tune local model parameters to improve predictive accuracy under field-specific conditions
 </li>
 <li>
 Identify anomalies, edge cases, and data quality issues in streaming or near real-time data
 </li>
 <li>
 Produce
 
 high-quality error metrics
 
 to accelerate iteration cycles between UAE and U.S.-based teams
 </li>
 <li>
 Document evaluation methods, findings, and parameter changes in clear, structured formats
 </li>
 <li>
 Collaborate with U.S. engineers and data scientists to refine models and incorporate field insights
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi highly preferred)
 </li>
 <li>
 Background in
 
 physics, petroleum engineering, mechanical engineering, or applied data science
 
 </li>
 <li>
 Experience with physics-based modeling, simulation, or hybrid ML approaches
 </li>
 <li>
 Strong understanding of real-time or time-series operational data, ideally in the energy sector
 </li>
 <li>
 Ability to evaluate models, tune parameters, and identify data anomalies independently
 </li>
 <li>
 Strong communication skills for cross-border collaboration and clear documentation
 </li>
 <li>
 Detail-oriented, reliable, and able to operate efficiently in dynamic field environments
 </li>
 </ul>
 
 
</div>

Senior Physics Engineer

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