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business analyst – data & analytics Jobs in Abu Dhabi

business analyst – data & analytics

data science expert

financial analyst

senior data scientist

business analyst data analytics

Damen

<div>
 We offer you an Ocean of Possibilities. Join our family.
 <br/>
 <br/>
 Position Title: Business Analyst
 <br/>
 <br/>
 Department: Data &amp; Analytics/ Shared Services/ Financial Group Control
 <br/>
 <br/>
 Location: Damen Shared Services, Abu Dhabi
 <br/>
 <br/>
 Reports To: Manager Data Analytics
 <br/>
 <br/>
 Employment Type: Full-Time
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Business Analyst
 </strong>
 at Damen, you play a key role in understanding business needs and translating them into actionable data and reporting solutions. You act as a bridge between business stakeholders and data/IT teams, ensuring that requirements are clearly defined, challenged where needed, and converted into meaningful dashboards, KPIs, and insights that support decision-making.
 <br/>
 <br/>
 This role requires strong business understanding, stakeholder engagement, excellent communication skills and the ability to translate operational needs into structured BI solutions, with a focus on driving data-driven decision-making across the organization.
 <br/>
 <br/>
 <strong>
  About The Organization
  <br/>
  <br/>
 </strong>
 You will join an international organization where data and analytics are increasingly central to decision-making. The organization is actively professionalizing its data and BI landscape, with teams operating across multiple international locations.
 <br/>
 <br/>
 A central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development. Key focus areas include strengthening data governance, standardizing reports, and KPI definitions, and developing organization-wide dashboards.
 <br/>
 <br/>
 Over the coming years, the data and BI domain will continue to expand, with the objective of embedding data-driven working practices across the organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Business Understanding &amp; Stakeholder Engagement:
 <br/>
 <br/>
 <ul>
  <li>
   Develop strong understanding of business operations and processes
  </li>
  <li>
   Act as trusted advisor to stakeholders (Finance, Operations, Projects)
  </li>
  <li>
   Proactively challenge business requirements and assumptions to ensure clarity and feasibility
  </li>
  <li>
   Familiar with the agile way of working
  </li>
  <li>
   Facilitate workshops to define KPIs and reporting needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements Translation &amp; Solution Design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate business needs into functional requirements and user stories
  </li>
  <li>
   Align business expectations with data models, dashboards, and reporting solutions
  </li>
  <li>
   Act as the bridge between business and technical/data teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  BI &amp; Reporting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support development of Power BI dashboards and reporting solutions
  </li>
  <li>
   Define and standardize KPIs and reporting frameworks
  </li>
  <li>
   Ensure outputs are business-relevant, actionable, and aligned with decision-making needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Governance &amp; KPI Standardization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive consistency in KPI definitions and reporting structures
  </li>
  <li>
   Support data governance initiatives and best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Enablement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support stakeholders in interpreting dashboards and insights
  </li>
  <li>
   Provide guidance and training on data-driven decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clear translation of business needs into (BI) solutions
  </li>
  <li>
   Adoption of standardized KPI frameworks
  </li>
  <li>
   Delivery of business-relevant dashboards and insights
  </li>
  <li>
   Strong alignment between business stakeholders and data/IT teams
  </li>
  <li>
   Improved data-driven decision-making across the organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;8 years in Business Analysis or BI/reporting roles
  </li>
  <li>
   Strong stakeholder management and requirement gathering experience
  </li>
  <li>
   Proven experience translating business needs into data and BI solutions
  </li>
  <li>
   Mandatory experience in a project-based, engineering, manufacturing, or industrial environment
  </li>
  <li>
   Exposure to finance, business control, or operations domains is required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of project-based environments and operations
  </li>
  <li>
   Experience working with finance, business control, or operational teams
  </li>
  <li>
   Ability to connect business processes with data and reporting solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Power BI (incl. Star Schema or similar relations)
  </li>
  <li>
   ERP systems (SAP, IFS, Dynamics)
  </li>
  <li>
   Understanding of data modelling concepts
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication and stakeholder engagement
  </li>
  <li>
   Ability to challenge requirements constructively
  </li>
  <li>
   Ability to translate between business and technical teams
  </li>
  <li>
   Proactive, structured, and solution-oriented mindset
  </li>
  <li>
   Professional proficiency in English, both written and spoken.
  </li>
 </ul>
</div>


Business Analyst – Data & Analytics

Antal International

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This transformative program is driving the future of banking and financial services through
  <strong>
   AI, data analytics, and advanced digital technologies
  </strong>
  , including the development of next-generation AI-powered financial platforms.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are now looking to engage exceptional
  <strong>
   AI professionals (UAENationals and Expats)
  </strong>
  to be part of this high-impact transformation journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    ROLES IN DEMAND INCLUDE:
   </u>
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    KEY RESPONSIBILITIES
   </u>
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    REQUIRED SKILLS &amp; QUALIFICATIONS
   </u>
  </strong>
 </p>
 <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
   <strong>
    AI, Machine Learning, and Data Analytics concepts
   </strong>
  </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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    WHAT YOU&rsquo;LL WORK ON
   </u>
  </strong>
 </p>
 <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>
 <p>
 </p>
</div>


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

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3584
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Responsibilities
<br>
<ul><li>Strategic Leadership:
</li></ul>Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
<br>
<ul><li>Technical Excellence:
</li></ul>Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
<br>
<ul><li>Team Leadership:
</li></ul>Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
<br>
<ul><li>Stakeholder Engagement:
</li></ul>Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
<br>
<ul><li>Governance &amp; Compliance:
</li></ul>Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
<br>
<ul><li>Operational Excellence:
</li></ul>Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
<br>
<ul><li>Expert Knowledge Application:
</li></ul>Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
<br>
<ul><li>Complex Problem Solving:
</li></ul>Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
<br>
<ul><li>Professional Know-How:
</li></ul>Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div><div><p>Responsibilities and Accountabilities:</p>
<ul><li>Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
</li><li>Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
</li><li>Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
</li><li>Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
</li><li>Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
</li></ul>Responsibilities and Accountabilities:
<ul><li>Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
</li><li>Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
</li><li>Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
</li><li>Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
</li><li>Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
</li><li>Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
</li><li>Ensure robust documentation, explainability, and auditability of all models and analytics solutions</li></ul>
</div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div><div><p>Relevant certifications in AI/ML, MLOps, and Data Governance.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments</p>
<p>Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><p>8 years of relevent experience</p></div></div></div></div></div></div></div></div><p></p>

Data Science Expert

Confidential Careers

<div>
 <p>
  We are seeking a highly capable
  <strong>
   Power BI &amp; Data Analytics Specialist
  </strong>
  to design, develop, and maintain enterprise reporting, analytics, and data solutions.
 </p>
 <p>
  This role is ideal for a hands-on data and BI professional with strong experience across
  <strong>
   Microsoft Power BI, Microsoft Fabric, SQL, ETL/ELT development, Azure data services, and enterprise reporting platforms
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  You will play a key role in building scalable reporting environments, developing robust data integration pipelines, and delivering actionable business insights to support strategic and operational decision-making
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
   <br/>
   Key Responsibiliti
  </strong>
 </p>
 <ul>
  <li>
   esDesign, develop, and maintain interactiv
   <strong>
    e Power BI dashboards, reports, and semantic mode
   </strong>
  </li>
  <li>
   lsBuild and maintain scalabl
   <strong>
    e data warehouses, lakehouses, and data mar
   </strong>
  </li>
  <li>
   tsDevelop and optimis
   <strong>
    e ETL / ELT pipelin
   </strong>
   es for data ingestion, transformation, and integrati
  </li>
  <li>
   onManage data extraction and integration fro
   <strong>
    m ERP and enterprise syste
   </strong>
   ms using APIs, data entities, and automated integration metho
  </li>
  <li>
   dsDevelop and maintai
   <strong>
    n Power Automate workflo
   </strong>
   ws for report distribution, alerts, approvals, and business process automati
  </li>
  <li>
   onAdministe
   <strong>
    r Power BI Gatewa
   </strong>
   ys, dataset refresh schedules, workspace security, and Row-Level Security (RL
  </li>
  <li>
   S)Monitor and optimise reporting performance, scalability, and reliabili
  </li>
  <li>
   tyImplement stron
   <strong>
    g data governance, security, and data quality standar
   </strong>
  </li>
  <li>
   dsCollaborate with business stakeholders to define KPIs, reporting requirements, and analytical solutio
  </li>
  <li>
   nsSupport executive reporting, operational analytics, and self-service BI initiativ
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   es
   <br/>
   Requireme
  </strong>
 </p>
 <ul>
  <li>
   ntsBachelor&rsquo;s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related fi
  </li>
  <li>
   eldMinim
   <strong>
    um 6 years of experie
   </strong>
   nce
   <strong>
    in Business Intelligence, Data Engineering, or Analyt
   </strong>
  </li>
  <li>
   icsStrong hands-on experience
  </li>
  <li>
   <strong>
    in:Microsoft Power
   </strong>
  </li>
  <li>
   <strong>
    BIMicrosoft Fab
   </strong>
  </li>
  <li>
   <strong>
    ricSQL Server / Advanced T-
   </strong>
  </li>
  <li>
   <strong>
    SQLData Warehous
   </strong>
  </li>
  <li>
   <strong>
    ingETL / ELT Developm
   </strong>
  </li>
  <li>
   <strong>
    entAzure Data Services / Azure Data Fact
   </strong>
  </li>
  <li>
   <strong>
    oryPower Autom
   </strong>
  </li>
  <li>
   <strong>
    ateData Modelling (Star Schema / Snowfla
   </strong>
  </li>
  <li>
   <strong>
    ke)API Integrat
   </strong>
  </li>
  <li>
   ionStrong experience with performance tuning, query optimisation, and data transformat
  </li>
  <li>
   ionExperience working wi
   <strong>
    th ERP platfo
   </strong>
   rms and enterprise-scale reporting environme
  </li>
  <li>
   ntsStrong analytical, problem-solving, and stakeholder management ski
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   lls
   <br/>
   Preferred Experi
  </strong>
 </p>
 <ul>
  <li>
   enceExperience w
   <strong>
    ith Dynamics 365 Finance &amp; Operations (D365 F&amp;am
   </strong>
   p;O) or similar ERP platf
  </li>
  <li>
   ormsExperience w
   <strong>
    ith Power BI Embe
   </strong>
   dded and embedded analytics solut
  </li>
  <li>
   ionsExposure to enterprise application hosting, reporting automation, and large-scale data platf
  </li>
 </ul>
 <p>
  <br/>
 </p>
 orms
</div>


Power BI & Data Analytics Specialist

ENEC Operations

<div>
 Job Title: Data Science Expert
 <br/>
 <br/>
 Posting Date: 7 Jul 2026
 <br/>
 <br/>
 Requisition ID: 3584
 <br/>
 <br/>
 Location: HQ - Abu Dhabi
 <br/>
 <br/>
 Posting Status: Active Recruitment
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.
 <br/>
 <br/>
 Key Activities, Responsibility &amp; Accountability
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Technical Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
 <br/>
 <br/>
 <ul>
  <li>
   Team Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Stakeholder Engagement:
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Governance &amp; Compliance:
   <br/>
   <br/>
  </li>
 </ul>
 Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
 <br/>
 <br/>
 <ul>
  <li>
   Operational Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
 <br/>
 <br/>
 <ul>
  <li>
   Expert Knowledge Application:
   <br/>
   <br/>
  </li>
 </ul>
 Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
 <br/>
 <br/>
 <ul>
  <li>
   Complex Problem Solving:
   <br/>
   <br/>
  </li>
 </ul>
 Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
 <br/>
 <br/>
 <ul>
  <li>
   Professional Know-How:
   <br/>
   <br/>
  </li>
 </ul>
 Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.
 <br/>
 <br/>
 <strong>
  Responsibilities &amp; Accountabilities (contd.)
  <br/>
  <br/>
 </strong>
 Responsibilities and Accountabilities:
 <br/>
 <br/>
 <ul>
  <li>
   Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
  </li>
  <li>
   Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
  </li>
  <li>
   Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
  </li>
  <li>
   Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities And Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
  </li>
  <li>
   Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
  </li>
  <li>
   Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
  </li>
  <li>
   Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
  </li>
  <li>
   Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
  </li>
  <li>
   Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
  </li>
  <li>
   Ensure robust documentation, explainability, and auditability of all models and analytics solutions
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 Relevant certifications in AI/ML, MLOps, and Data Governance.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments
 <br/>
 <br/>
 Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 8 years of relevent experience
</div>


Masdar

<div><b>Company Description</b><p><br>
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.</p><p>
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 <b>65</b> gigawatts (GW).</p><p>
Jointly owned by <b>TAQA, ADNOC and Mubadala</b>, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.</p><b><br>
Job Description</b><p><br>
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.</p><p><b>
Key Accountabilities</b> :</p><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><br>
<b>
Qualifications</b><p><b><br>
Preferred Qualifications:</b></p><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.<b>
</b></li></ul><p><b>Preferred Experience:</b></p><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><p><b>
Technical Skills:</b></p><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><p><b>
Behavioral Competencies:</b></p><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><p></p><p><br>
Role is to be based in <b>Abu Dhabi, UAE.</b></p><b><br>
Additional Information</b><div></div><p><br>
As part of the application process, we will collect, store and process personal information about you.</p><p>
Masdar will use your personal information in accordance with our <b>Candidate Privacy Notice</b>, which provides details on the purposes for which your data is processed.</p></div>

Associate Data / Decision Scientist (UAEN)

Presight

<div>
 <strong>
  About Presight
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 Presight, an ADX-listed public company limited by shares whose majority shareholder is Abu Dhabi company G42, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (&ldquo;AI&rdquo;). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 <br/>
 <br/>
 <strong>
  The Opportunity:
  <br/>
  <br/>
 </strong>
 Seeking a meticulous and expert Senior Engineer - Site Reliability to build and support the Presight delivery model that empowers product &amp; technology teams to develop &amp; deliver high-quality products, improve platform infrastructure and strengthen the reliability of products and solutions. You play a key role in defining &amp; establishing the delivery model deployed in the development of cutting edge, next-gen analytics solutions &amp; services at Presight.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 As an Engineer &ndash; Site Reliability, you will be responsible for working with relevant stakeholders to drive scope definition, specification, and architecture for all services in the CI/CD pipeline that power the Presight delivery model.
 <br/>
 <br/>
 <em>
  Functional
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Foster a positive SRE culture that promotes frequent releases, high levels of automation (Ansible, Terraform, Helm), and software reliability (Monitoring Tools).
  </li>
  <li>
   Lead and troubleshoot high priority incidents impacting the organization, providing timely support to quickly resolve critical incidents for Linux based systems.
  </li>
  <li>
   Identify application patterns &amp; analytics in support of better service level objectives while integrating self-service &amp; resiliency patterns.
  </li>
  <li>
   Review and modify CI/CD principles and service maturity iteratively, striving for continuous improvement.
  </li>
  <li>
   Collaborate with internal teams to propose, architect and implement innovative &amp; transformational solutions for Presight.
  </li>
  <li>
   Champion SRE approaches across strategic systems to predict &amp; prevent disruptive events and improve the availability of solutions.
  </li>
  <li>
   Design &amp; enable automated change, release and upgrade management practices across existing products &amp; solutions.
  </li>
  <li>
   Ensure compliance with defined IT governance controls, standards, and practices.
  </li>
  <li>
   Improve service availability and scalability through tuning, automation, tools, and process.
  </li>
  <li>
   Analyze service performance, identify bottlenecks, and provide measurable improvement plans.
  </li>
  <li>
   Serve as primary point of contact for all matters concerning the customer and develop a trusted advisor relationship with executive sponsors by understanding their business needs and technical challenges.
  </li>
  <li>
   Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in business Analytics, Data Science, Computer Science, Engineering, or related field.
  </li>
  <li>
   Minimum 5-7 years of experience in DevOps Operations and deployment.
  </li>
  <li>
   Public Cloud (Azure must), Linux, Kubernetes, Docker, python hands on is must.
  </li>
  <li>
   Hands on experience on Private Cloud Openstack, OpenShift.
  </li>
  <li>
   Hands on experience on automation tools (Ansible, Terraform, Helm).
  </li>
  <li>
   CI/CD tools (GitLab, Jenkins and ArgoCD) and DevOps processes must have.
  </li>
  <li>
   Big data technologies i.e. Elasticsearch, Opensearch, Hadoop Cluster deployment.
  </li>
  <li>
   At least 3 years of experience in architectural knowledge and understanding of distributed systems and cloud infrastructure.
  </li>
  <li>
   Shell &amp; Python scripting.
  </li>
  <li>
   Handson experience on monitoring tools like ELK, Prometheus, Grafana and Zabbix.
  </li>
  <li>
   Handson experience on managing bare metal or virtualized environments.
  </li>
  <li>
   Must have knowledge of cloud networking and security.
  </li>
  <li>
   Strong experience on databases like MySQL, PostgreSQL, MongoDB, MSSQL.
  </li>
  <li>
   HashiCorp Vault or similar secrets management tools.
  </li>
  <li>
   Experience on Migration of DevOps Tools / Applications / Databases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;ll also need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A highly detail-oriented and methodical approach to problem solving.
  </li>
  <li>
   A passion for technology, troubleshooting and customer service.
  </li>
  <li>
   A strongly analytical mind.
  </li>
  <li>
   Great verbal and written communication skills
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we look for:
  <br/>
  <br/>
 </strong>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.
 <br/>
 <br/>
 <strong>
  What working at Presight offers:
  <br/>
  <br/>
 </strong>
 <em>
  <strong>
   Culture:
  </strong>
 </em>
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 <em>
  <strong>
   Career:
  </strong>
 </em>
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 <em>
  <strong>
   Rewards:
  </strong>
 </em>
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
</div>


Senior Engineer - Site Reliability

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