senior data scientist Jobs in The Division Of Engineering Mnbl Dr Rafael Song Jobs In Abu Dhabi

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data scientist Jobs in The Division Of Engineering Mnbl Dr Rafael Song Jobs In Abu Dhabi

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senior data analyst Jobs in The Division Of Engineering Mnbl Dr Rafael Song Jobs In Abu Dhabi

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principal data scientist

Presight

<div>
 
 Overview
 
 
 
 Job Description: Principal Data Scientist | Abu Dhabi, UAE
 
 
 
 About Presight
 
 
 
 Presight is an ADX-listed public company with G42 (Abu Dhabi) as its majority shareholder and the region&rsquo;s leading big data analytics company powered by GenAI. We combine big data, advanced analytics, and AI to drive business and societal impact, helping public and private sector organizations realize their AI strategies faster.
 
 
 Position Overview
 
 
 We are seeking a Principal Data Scientist with deep expertise in large language models (LLMs) and applied AI, who can both shape the strategic direction of our GenAI capabilities and deliver cutting-edge solutions across sectors. This role goes beyond hands-on modelling&mdash;it encompasses setting the LLM and agentic AI strategy, building scalable frameworks, guiding technical teams, and influencing product and business roadmaps.
 
 
 The Principal Data Scientist will play a pivotal role in architecting Presight&rsquo;s AI ecosystem, ensuring our models are not only state-of-the-art but also aligned with organisational priorities, partner expectations, and responsible AI standards.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 Strategy &amp; Leadership
 
 
 <ul>
 <li>
 Define the strategic roadmap for LLMs and agent-driven AI within Presight, aligning with business goals, client needs, and regulatory frameworks.
 </li>
 <li>
 Act as the thought leader and subject matter expert, guiding executives and partners on GenAI opportunities, risks, and best practices.
 </li>
 <li>
 Mentor, coach, and upskill data scientists and engineers, building organisational capability in LLMs and applied machine learning.
 
 
 </li>
 </ul>
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Stay ahead of global research in foundation models, reasoning, and multi-modal AI; assess and integrate relevant breakthroughs into Presight&rsquo;s platforms.
 </li>
 <li>
 Represent Presight in the AI ecosystem (conferences, publications, collaborations) to enhance visibility and credibility.
 </li>
 <li>
 Establish frameworks for responsible AI&mdash;bias mitigation, fairness, security, and data governance.
 
 
 </li>
 </ul>
 Solution Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Oversee the design and scaling of LLM-driven applications (knowledge assistants, copilots, decision intelligence tools, domain-specific copilots).
 </li>
 <li>
 Lead the creation of agentic workflows, integrating LLMs with enterprise data, APIs, and external systems for autonomous execution.
 </li>
 <li>
 Architect multi-modal AI pipelines, combining structured and unstructured data, vision, and knowledge graphs to unlock insights.
 </li>
 <li>
 Ensure production systems meet performance, scalability, and cost-efficiency standards.
 
 
 </li>
 </ul>
 Cross-Functional Influence
 
 
 <ul>
 <li>
 Partner with product, engineering, and client teams to translate AI research into real-world impact.
 </li>
 <li>
 Guide vendor and partner selection for LLM infrastructure, orchestration frameworks, and ecosystem tools.
 </li>
 <li>
 Serve as escalation point for technical complexity in strategic programmes.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, AI/ML, Data Science, Applied Mathematics, or a related field.
 </li>
 <li>
 8+ years of progressive experience in AI/ML, with at least 3 years at a strategic or principal/lead level.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Proven leadership in defining and executing LLM/GenAI strategies in complex organisations or large-scale projects.
 </li>
 <li>
 Track record of deploying LLM-powered applications into production at enterprise scale.
 </li>
 <li>
 Experience building or influencing multi-disciplinary AI teams (data science, engineering, product).
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Deep knowledge of LLM fine-tuning, evaluation, and optimisation (RLHF, RAG, prompt engineering, alignment).
 </li>
 <li>
 Familiarity with orchestration frameworks (LangChain, LlamaIndex, Haystack) and vector databases (FAISS, Pinecone, Milvus).
 </li>
 <li>
 Expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
 </li>
 <li>
 Ability to set direction, inspire teams, and communicate complex concepts to both technical and executive audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to multi-agent systems and autonomous planning frameworks.
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and advanced reasoning models.
 </li>
 <li>
 Awareness of regulatory, ethical, and societal implications of GenAI at scale.
 
 
 </li>
 </ul>
 What Presight Offers
 
 
 <ul>
 <li>
 Culture: Inclusive, diverse, and innovation-driven environment with a global vision.
 </li>
 <li>
 Impact: High-visibility role driving Presight&rsquo;s LLM and GenAI strategy across industries.
 </li>
 <li>
 Career: Leadership pathway with accelerated growth, ecosystem engagement, and the chance to shape AI adoption at national scale.
 </li>
 <li>
 Rewards: Competitive package with healthcare, education support, leave benefits, and more.
 </li>
 </ul>
</div>

Principal 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

Inception

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Core42for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 10 years of experience in developing AI algorithms for various modalities.
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 What we look for
 
 
 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 Inception community.
</div>

Principal Applied 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

<div>
 
 Overview
 
 
 
 
 About AIQ:
 
 
 
 AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Senior Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Senior Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.
 </li>
 <li>
 Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.
 </li>
 <li>
 End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.
 </li>
 <li>
 Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil &amp; gas industry.
 </li>
 <li>
 Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Requirements &ndash; Experience
 
 
 
 <ul>
 <li>
 At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.
 </li>
 <li>
 Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.
 </li>
 <li>
 Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.
 </li>
 <li>
 Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.
 </li>
 <li>
 Demonstrated experience designing and implementing agentic AI systems&mdash;task-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.
 </li>
 <li>
 Experience in Geoscience applications to the Oil &amp; Gas sector is a plus.
 
 
 </li>
 </ul>
 
 Requirements &ndash; Key Skills
 
 
 
 <ul>
 <li>
 Strong foundation in applied mathematics and statistics.
 </li>
 <li>
 Proficiency in machine learning and deep learning techniques.
 </li>
 <li>
 Advanced Python programming skills for AI development.
 </li>
 <li>
 Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).
 </li>
 <li>
 Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.
 </li>
 <li>
 Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.
 </li>
 <li>
 Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
 </li>
 <li>
 Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.
 </li>
 <li>
 Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).
 </li>
 <li>
 Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.
 </li>
 <li>
 Excellent communication skills for conveying technical concepts effectively.
 
 
 </li>
 </ul>
 
 Educational Requirements
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
 </li>
 </ul>
</div>

Aldar Education

<div>
 
 Job Description
 
 
 
 Aldar Academies are seeking an Examination Officer for Al Ain British Academy with an immediate start date.
 
 
 As the leading education group in Abu Dhabi, we provide inclusive and innovative learning that inspires and empowers communities. We offer a range of brands for all learners in our community, from nursery through to adult education. We offer the broadest choice of curricula. In the largest number of locations in Abu Dhabi.
 
 
 Starting with one school and 250 students in 2007, Aldar Education has grown into a highly sought-after education provider, now supporting over 38,000 students in 31 schools and a growing network of almost 5,000 educators, with over 100 nationalities, offering a wide range of curricula and ancillary services such as a Teacher Training Academy.
 
 
 The successful candidates will be aligned with our core values and ethos and possess a genuine understanding and appreciation of the values of the region.
 
 
 
 Responsibilities
 
 
 
 Main Duties
 
 
 <ul>
 <li>
 Managing the daily operation of external/internal examinations. This will include ensuring that all required materials are in the examination rooms for the start of the examinations and arrangements for candidates with special educational needs are in place.
 </li>
 <li>
 Organising exam materials, providing safe custody of and organising examination stationery and materials, including question papers, in accordance with regulations.
 </li>
 <li>
 Organising the examination rooms, in accordance with JCQ and IB regulations in liaison with the Facilities Manager.
 </li>
 <li>
 Produce a centre timetable to include dates, times, venues, and number of candidates for internal and external exams, based on relevant exam numbers and duration. This includes resolving examination clashes in accordance with regulations.
 </li>
 <li>
 Liaise with examination boards and school staff regarding examination entries and arrangements.
 </li>
 <li>
 Liaise with Head of Inclusion in providing SEN/POD provision with regard to entries and access arrangements for all internal/external examinations.
 </li>
 <li>
 Make all necessary access arrangements.
 </li>
 <li>
 Disseminating information, answering enquiries and dealing with issues regarding external examinations with staff, students and parents.
 </li>
 <li>
 Collect and dispatch coursework and exam scripts in accordance with exam regulation and centre procedures.
 </li>
 <li>
 Briefing candidates on examination regulations and producing written guidelines for staff and students; ensuring candidates are aware of their own examination timetables.
 </li>
 <li>
 Provide HOD with necessary access to exam portals (CIE, Results Plus, EOL)
 </li>
 <li>
 Provide HOD with moderation reports post examination.
 </li>
 <li>
 Provide HOD / Teachers with access to scripts post examination.
 </li>
 <li>
 Ensure all students have the required examination board student logon details set up and issued to students.
 </li>
 <li>
 Arranging invigilation and supporting the Assistant Principal with briefing and training all teachers on invigilation requirements and examination procedures.
 </li>
 <li>
 Processing enquiries about results and requests for return of scripts.
 </li>
 <li>
 Oversee the checking and distribution of certificates.
 </li>
 <li>
 Liaise with the Finance Office and Aldar Academies to ensure all fees for exams are collected including re-entries and appeals.
 </li>
 <li>
 Keep up to date with the requirements of the role including online reading, participation on examination officer training online and implement all new regulations (National Assessment Agency and Examinations Officers Association).
 </li>
 <li>
 Provide accurate analysis and records of school performance for IGCSE examinations.
 
 
 
 </li>
 </ul>
 Specific Duties
 
 
 <ul>
 <li>
 To be the Cover Supervisor &ndash; ensuring that all teacher absence is covered, in accordance with the Cover Policy, using school&rsquo;s management information system.
 </li>
 <li>
 To support the Assistant Principal in producing a working school curriculum timetable based on the curriculum model and planning.
 </li>
 <li>
 To organise CAT, GL and NGRT testing, and timetables, which involves liaising with Admissions staff, Library staff, and Heads of Department.
 </li>
 <li>
 To support the Assistant Principal in producing spreadsheets and statistical data based on results for GL Assessments, Cognitive Abilities Tests (CAT), NGRT, Student Progress Reports, Mock Examinations and External Examinations.
 </li>
 <li>
 To work with the Assistant Principal in ensuring the required number of CAT4 and GL assessments have been purchased by Aldar Academies for administering assessments.
 </li>
 <li>
 To undertake any relevant administrative work, and support with occasional Reception cover, as requested by the Principal.
 </li>
 <li>
 7:30 am to 3:30 pm; Sunday to Thursday; Term-Time only; Local Contract. The post holder is required to work some evenings and weekends (Friday external examinations only) during examination seasons.
 </li>
 <li>
 While the exams fall during the Ramadan period, the Examination Officer can claim back the hours worked after the agreed finish time. These hours must be clearly marked on the time off in lieu sheet and finger printing in and out must be done.
 </li>
 <li>
 The Examination Officer is NOT eligible to receive additional payments for invigilation. This is covered within the higher salary and an expectation of the agreed job description.
 </li>
 <li>
 If exams or exam results fall over an EID break, again the Examination Officer is expected to be present. Time in lieu can be claimed but must be logged on sheet.
 </li>
 <li>
 The Examination Officer is expected to be present prior to exam results and on results days (this is part of normal contract unless falling at EID), no additional time will be given.
 </li>
 <li>
 To work alongside the Assistant Principal to ensure all internal school data is uploaded on the ADEK ESIS portal on a termly basis
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Degree or relevant vocational qualification
 </li>
 <li>
 Successful high school completion certificate
 
 
 
 </li>
 </ul>
 
 Minimum Experience
 
 
 
 <ul>
 <li>
 Highly organised administrator
 </li>
 <li>
 Experience in leading projects
 </li>
 <li>
 Experience of managing people and working to operational deadlines and procedures.
 </li>
 <li>
 Examinations modules CPD: Pearson/Cambridge
 
 
 
 </li>
 </ul>
 Job Specific Knowledge &amp; Skills
 
 
 <ul>
 <li>
 Strong IT skills. Use of Microsoft Excel, Word, Data Base.
 </li>
 <li>
 Use of School/exams systems (MIS, Engage, Edexcel, CIE, Results Plus.
 </li>
 </ul>
</div>

Examinations Officer - Al Ain British Academy

Explore 651+ Principal data scientist in The Division Of Engineering Mnbl Dr Rafael Song Jobs In Abu Dhabi this January. Find roles across top companies and apply now to boost your career.

651 principal data scientist jobs IN The Division Of Engineering Mnbl Dr Rafael Song Jobs In Abu Dhabi

Principal Data Scientist

Senior Data Scientist

Principal Applied Scientist

AI Data Scientist - Agentic LLMs for Public Safety

Senior Physics Engineer

Senior Data Scientist

Examinations Officer - Al Ain British Academy