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business analyst / consultant Jobs in Abu Dhabi

business analyst / consultant

data scientist

Jobs via eFinancialCareers

<div>
 <strong>
  Organization
  <br/>
  <br/>
 </strong>
 Arab Monetary Fund
 <br/>
 <br/>
 <strong>
  Opening Date
  <br/>
  <br/>
 </strong>
 Monday, December 23, 2024 - 12:00 - Monday, June 30, 2025 - 12:00
 <br/>
 <br/>
 The Arab Monetary Fund aims to onboard a
 <strong>
  "Senior Data Scientist"
 </strong>
 in the Capacity Development and Innovation Department, reporting to the Knowledge and Innovation Division Chief.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Senior Data Scientist will manage, enhance, and align database management practices with international standards and ensure the reliability of the Arab Monetary Fund&rsquo;s economic database and the Arab Financial Markets database, in addition to applying advanced statistical methodologies to analyze data, facilitate results interpretation, and develop actionable insights to support the Arab Monetary Fund's flagship reports, studies, and other publications and facilitating decision-making processes and supporting key organizational activities through sophisticated data analysis and interpretation.
 <br/>
 <br/>
 <strong>
  Key Accountability Areas and Activities
  <br/>
  <br/>
 </strong>
 The key activities include, but are not limited to, the following:
 <br/>
 <br/>
 <ul>
  <li>
   Understand plans, drawings, technical specifications, and in-depth database parameters.
  </li>
  <li>
   Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries&rsquo; needs.
  </li>
  <li>
   Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.
  </li>
  <li>
   Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.
  </li>
  <li>
   Use big data, machine learning and other technics to improve data availability and analysis.
  </li>
  <li>
   Manipulate non-relational databases to extract key economic and financial developments.
  </li>
  <li>
   Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.
  </li>
  <li>
   Ensure data integrity and relevance in all published materials.
  </li>
  <li>
   Automatize data transformation and manipulation to expedite processes.
  </li>
  <li>
   Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.
  </li>
  <li>
   Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.
  </li>
  <li>
   Contribute to internal and external training effectively to both technical and non-technical audience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A minimum of 7 years of experience in database management experience, particularly in statistical or financial sectors
  </li>
  <li>
   Bachelor&rsquo;s degree in business administration, finance, economics, investment management or a related field
  </li>
  <li>
   Master&rsquo;s degree in statistics, data science, or a related field in database management or statistics
  </li>
  <li>
   Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.
 <br/>
 <br/>
 Only shortlisted candidates will be contacted.
 <br/>
 <br/>
</div>


Senior Data Scientist

Presight

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 About Presight
 <br/>
 <br/>
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 <br/>
 <br/>
 <strong>
  The Opportunity
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI solutions. The ideal candidate will have extensive experience in designing, developing, and deploying Generative AI use cases both on-premises and on cloud platforms. This role requires proficiency in working with GPUs for scalable solutions, as well as expertise in Agentic AI, Generative AI, and related frameworks.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and deploy Generative AI models and solutions on both on-premises and cloud platforms.
  </li>
  <li>
   Lead end-to-end Generative AI projects, from ideation, finetuning, evaluation, to deployment.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems and workflows.
  </li>
  <li>
   Continuously monitor and improve the performance of deployed models through rigorous testing and validation.
  </li>
  <li>
   Provide technical leadership and mentorship to junior data scientists and engineers.
  </li>
  <li>
   Stay up-to-date with the latest advancements in Generative AI and related technologies and apply them to solve complex business problems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Must-Have Skills:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
  </li>
  <li>
   Master/PhD in Computer Science/ Machine learning or related field with more than 5 years of industry experience.
  </li>
  <li>
   Strong experience in Generative AI and data science, with a focus on developing and deploying models on both on-premises and cloud platforms.
  </li>
  <li>
   Proficiency in programming languages such as Python, R, or Scala.
  </li>
  <li>
   Experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like AWS SageMaker, Azure ML, or Google AI Platform.
  </li>
  <li>
   Deep understanding of Generative AI algorithms, including GANs, VAEs, and transformers.
  </li>
  <li>
   Experience with GPU-based computing for scalable AI solutions.
  </li>
  <li>
   Strong problem-solving and analytical skills.
  </li>
  <li>
   Excellent communication and collaboration skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Agentic AI and related frameworks.
  </li>
  <li>
   Knowledge of MLOps and CI/CD pipelines for machine learning model deployment.
  </li>
  <li>
   Familiarity with containerization technologies such as Docker and Kubernetes.
  </li>
  <li>
   Experience with natural language processing (NLP) and computer vision.
  </li>
  <li>
   Knowledge of advanced statistical techniques and their applications.
  </li>
  <li>
   Experience with real-time data processing and streaming technologies.
  </li>
 </ul>
</div>


Huxley

<div>
 <p>
  <strong>
   Hi all,
  </strong>
 </p>
 <p>
  <strong>
   Job Description: Senior Data Scientist - AI/ML Engineer
   <br/>
  </strong>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  Are you a seasoned Data Scientist with deep expertise in AI/ML engineering and a passion for building scalable, intelligent solutions? Join our team as a Senior Data Scientist - AI/ML Engineer and play a pivotal role in designing, deploying, and optimizing advanced machine learning models for real-world applications.
  <br/>
  <br/>
 </p>
 Requirements:
 <br/>
 <br/>
 <ul>
  <li>
   Minimum of
   <strong>
    5-7 years
   </strong>
   of hands-on experience in data science, machine learning model development, and deployment.
  </li>
  <li>
   Proven expertise in
   <strong>
    Azure ML
   </strong>
   ,
   <strong>
    Dataiku
   </strong>
   , and
   <strong>
    Azure OpenAI
   </strong>
   ; experience with other
   <strong>
    LLMs
   </strong>
   is a strong plus.
  </li>
  <li>
   Strong programming and coding skills, particularly in
   <strong>
    Python
   </strong>
   , with deep knowledge of
   <strong>
    Pandas
   </strong>
   and
   <strong>
    NumPy
   </strong>
   .
  </li>
  <li>
   Advanced proficiency in deep learning frameworks such as
   <strong>
    TensorFlow
   </strong>
   and
   <strong>
    PyTorch
   </strong>
   .
  </li>
  <li>
   Experience in building, training, and fine-tuning ML models for classification, regression, NLP, and generative tasks.
  </li>
  <li>
   Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.
  </li>
  <li>
   Experience with cloud-based AI services and deployment on
   <strong>
    Azure
   </strong>
   .
  </li>
  <li>
   Solid understanding of statistics, data wrangling, feature engineering, and model evaluation techniques.
  </li>
  <li>
   Ability to work collaboratively in cross-functional teams and translate business needs into technical solutions.
  </li>
  <li>
   Master's or PhD in Data Science, Computer Science, Machine Learning, Mathematics, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 Responsibilities:
 <br/>
 <br/>
 <p>
  <strong>
   AI/ML Model Development:
   <br/>
  </strong>
  Design, develop, and optimize machine learning models using Azure ML, Dataiku, and Python-based frameworks. Apply deep learning techniques for NLP, computer vision, and predictive analytics.
 </p>
 <p>
  <strong>
   Cloud-Based Deployment:
   <br/>
  </strong>
  Deploy models on Azure cloud infrastructure, ensuring scalability, performance, and reliability. Integrate models into enterprise platforms and data pipelines.
 </p>
 <p>
  <strong>
   Data Engineering &amp; Feature Design:
   <br/>
  </strong>
  Work with large datasets to perform data cleaning, transformation, and feature engineering. Collaborate with data engineers to ensure robust data pipelines.
 </p>
 <p>
  <strong>
   Model Monitoring &amp; Optimization:
   <br/>
  </strong>
  Implement monitoring systems for model performance and drift. Continuously improve models through retraining, hyperparameter tuning, and architecture enhancements.
 </p>
 <p>
  <strong>
   Collaboration &amp; Code Quality:
   <br/>
  </strong>
  Collaborate with software engineers and business stakeholders to deliver production-grade solutions. Write clean, maintainable code and participate in code reviews.
  <br/>
  <br/>
 </p>
 Education &amp; Experience:
 <br/>
 <br/>
 <ul>
  <li>
   Master's or PhD in a relevant field.
  </li>
  <li>
   Demonstrated experience in deploying AI/ML solutions in enterprise environments.
  </li>
  <li>
   Strong communication and problem-solving skills.
  </li>
  <li>
   Experience in sectors such as finance, healthcare, or energy is a plus.
  </li>
 </ul>
 <p>
  If you are passionate about building intelligent systems, optimizing ML pipelines, and solving complex data challenges, apply now and be part of our AI-driven journey.
 </p>
 <p>
  If interested, please revert with your updated CV in Word format to
  <strong>
   y[dot]elmkadem[at]huxley[dot]com
  </strong>
  and I will get back to you.
 </p>
 <p>
  Referrals and recommendations are more than welcome !
 </p>
 <p>
  <strong>
   Kind regards,
   <br/>
   <br/>
  </strong>
  Youness
  <br/>
 </p>
 <p>
  <strong>
   Let op: vacaturefraude
  </strong>
 </p>
 <br/>
 <p>
  Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
  <br/>
  * Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
  <br/>
  * Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de offici&euml;le contactgegevens op onze website.
  <br/>
  <br/>
  <strong>
   Important: job fraud
   <br/>
  </strong>
  <br/>
  Unfortunately, job fraud is becoming more common. Beware of such scams:
  <br/>
  * We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
  <br/>
  * If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
 </p>
</div>


Senior Data Scientist - AI/ML Engineer

Charterhouse Middle East

<div>
 <p>
  <strong>
   AED 40,000 - 50,000 Per Month, Plus Benefits
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Charterhouse are working with a highly respected and forward-thinking Family Office based in Abu Dhabi that is looking to hire a Senior AI Scientist to join their elite Product Support &amp; Design team. This is a rare opportunity to work on cutting-edge AI initiatives in a private, innovation-driven environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior AI Scientist will be at the forefront of research, development, and deployment of advanced Large Language Model (LLM) technologies. The role will focus on Retrieval-Augmented Generation (RAG), agent-based systems, and multimodal AI applications. The Senior AI Scientist will be looked upon to lead high-impact technical initiatives and collaborate with cross-functional experts to shape the future of AI within a discreet and well-resourced organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Additionally, the Senior AI Scientist will be responsible for designing and implementing sophisticated LLM-based systems, overseeing the full lifecycle of LLM projects from pre-training to deployment. This role will involve conducting in-depth research into emerging technologies, designing prompt engineering strategies, and ensuring technical excellence through collaboration with internal stakeholders. The role will also analyse model performance and contribute to the development of industry-leading practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The successful candidate will have extensive experience in developing and deploying LLMs for complex applications, with deep expertise in RAG, agent systems, and multimodal AI. The ideal candidate will be proficient in frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. A solid understanding of the underlying mechanics of NLMs and MLMs is crucial for this role.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The candidate should come from a strong academic background, ideally a Master&rsquo;s or Ph.D. in Computer Science or a related field, is essential. The successful candidate should also have a proven track record in AI research, including publications, leader-board rankings, or contributions to industry standards, and be comfortable working in diverse, cross-functional teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Excellent communication skills in English are essential.
 </p>
</div>


Senior AI Scientist

NMC Health plc

<div><p>The Data Analyst supports the Corporate Strategy team by performing detailed data analysis across multiple business domains, including finance, operations, clinical performance, and market trends. The role involves preparing clean datasets, creating automated reports, and delivering insights that guide senior management and strategic teams. The ideal candidate is proficient in analytical tools, has a deep understanding of data governance, and possesses the communication skills to translate complex information into clear business narratives. The position requires collaboration across departments to support cross-functional projects and performance measurement.</p></div>
<br><div><ul><li>Collect, clean, and validate large datasets from internal and external sources to ensure data quality and readiness for analysis.
</li><li>Perform statistical analysis and generate insights that help inform corporate strategy, business planning, and operational improvements.
</li><li>Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms.
</li><li>Work closely with business units and strategy leaders to understand data needs and translate them into analytical solutions.
</li><li>Support key performance indicator (KPI) tracking and benchmarking efforts across multiple departments.
</li><li>Analyze business processes and performance data to identify areas of improvement or cost-saving opportunities.
</li><li>Monitor and report on market and competitor data to support business development and forecasting activities.
</li><li>Collaborate with IT and data governance teams to ensure data security, compliance, and best practices in data management.
</li><li>Assist in scenario modeling, forecasting, and budgeting exercises based on data-driven assumptions.
</li><li>Provide ad-hoc analytical support for strategic initiatives, board presentations, and executive reporting.
</li><li>Automate recurring reports and implement process improvements to enhance reporting accuracy and timeliness.
</li><li>Maintain data documentation and ensure consistency in terminology and metric definitions across reports.
</li><li>Conduct root-cause analyses to help stakeholders understand underlying trends and anomalies in datasets.
</li><li>Train business users on self-service analytics tools and promote data literacy within the organization.
</li><li>Stay updated with industry trends, tools, and techniques to continuously enhance analytical capabilities.</li></ul></div>
<br><div><p>Education and Certification
</p><ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
</li><li>Master&rsquo;s degree is an advantage.
</li><li>Certifications in data analytics or BI tools (e.g., Microsoft Power BI, Tableau, SQL, Python, or Google Analytics) are preferred.
</li></ul><p>Knowledge and Skills
</p><ul><li>Proficient in data analysis, statistics, and visualization tools and techniques.
</li><li>Advanced Excel skills and working knowledge of SQL, Python, or R.
</li><li>Experience with business intelligence platforms like Power BI, Tableau, or QlikView.
</li><li>Strong understanding of data structures, relational databases, and data governance principles.
</li><li>Ability to interpret and present complex data in a simple and meaningful way for business stakeholders.
</li><li>Excellent problem-solving, critical thinking, and communication skills.
</li><li>Detail-oriented with the ability to manage multiple tasks and tight deadlines.
</li><li>Comfortable working in a fast-paced, cross-functional environment.
</li></ul><p>Data Analyst benefit from having experience/competency in:
</p><ul><li>Power BI / Tableau
</li><li>Advanced Excel modeling
</li><li>SQL / Python / R
</li><li>KPI and metrics development
</li><li>Forecasting and scenario modeling
</li><li>Data governance
</li><li>Executive reporting
</li><li>Business strategy support
</li><li>Financial and operational analytics
</li><li>Self-service BI tools
</li></ul><p>Experience
</p><ul><li>5+ years of experience in data analysis, business intelligence, or a related role.
</li><li>Experience in healthcare, consulting, or corporate strategy is a strong advantage.</li></ul></div>

Data Analyst

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-3496
</div></div><div><div>Category</div>
<div>Allied Health Professionals
</div></div><div><div>Asset : Name</div>
<div>G42 Laboratory
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><div>M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to impactfully disrupt traditional healthcare models and positively impact lives globally.</div><div></div><div><br>
Established in 2022, following the coming together of G42 Healthcare and Mubadala Health, M42 has more than 480 facilities in 26 countries and over 20,000 employees. M42 includes renowned healthcare providers including Cleveland Clinic Abu Dhabi, Danat Al Emarat, Diaverum, Imperial College London Diabetes Centre, Sheikh Sultan bin Zayed Hospital, and Moorfields Eye Hospital Abu Dhabi. As well as operating the Emirati Genome Programme, M42 runs Abu Dhabi BioBank and Abu Dhabi Health Data Services (ADHDS), a global tech-enabled healthcare company operating Malaffi.</div><div></div><div><br>
The Organic Chemistry Scientist assists the Senior Scientist in solving complex problems in a scientific, technology or engineering domain and is primarily responsible for supporting the analytical testing requirements of the wastewater monitoring laboratory and interpreting scientific data of moderate to difficult complexity. The Organic Chemistry Scientist supervises work and performance of laboratory technicians and with their assistance checks and pre-approves the test results obtained from sample analysis in order to satisfy the needs of the project&rsquo;s Stakeholders.</div>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities
</b></h2><div><div><div><ul><li>Conducting advanced organic chemistry analyses using LCMSMS, GCMSMS, HRMS, and related systems.</li><li>
Supervising laboratory technicians and approving analytical results.</li><li>
Developing, optimizing, and validating test methods for wastewater monitoring.</li><li>
Supporting regulatory compliance, audit readiness, and QA/QC standards.</li><li>
Applying statistical tools to analyze data, identify root causes, and resolve issues.</li><li>
Maintaining calibration, troubleshooting, and operation of chromatography and mass spectrometry systems.</li><li>
Providing technical training and mentorship to laboratory personnel.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><ul><li>MSc in Analytical Chemistry with specialization in Organic Chemistry (or related discipline).</li><li>
Minimum 2 years&rsquo; experience in a chemistry lab environment, ideally wastewater or water testing.</li><li>
Proven expertise in advanced organic analyses (OCPs, PCBs, VOCs, SVOCs, PAHs, hormones, PPCPs, drugs).</li><li>
Proficiency with sample preparation techniques (SPE, LLE, SPME, Headspace-trap, Thermal desorption).</li><li>
Strong knowledge of QA/QC, ISO standards (17025, 9001, 14001), and LIMS systems (Labware).</li><li>
Ability to supervise projects, mentor staff, and communicate technical data effectively.</li></ul></div></div></div></div><div></div>

Organic Chemistry Scientist

M42 Health

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 M42 is a global health champion powered by artificial intelligence (AI), technology and genomics to advance innovation in health for people and the planet. Headquartered in Abu Dhabi, M42 combines its specialized, state-of-the-art facilities with integrated health solutions like genomics and biobanks, and harnesses advanced technologies to deliver precise, preventive and predictive care, to impactfully disrupt traditional healthcare models and positively impact lives globally.
 <br/>
 <br/>
 Established in 2022, following the coming together of G42 Healthcare and Mubadala Health, M42 has more than 480 facilities in 26 countries and over 20,000 employees. M42 includes renowned healthcare providers including Cleveland Clinic Abu Dhabi, Danat Al Emarat, Diaverum, Imperial College London Diabetes Centre, Sheikh Sultan bin Zayed Hospital, and Moorfields Eye Hospital Abu Dhabi. As well as operating the Emirati Genome Programme, M42 runs Abu Dhabi BioBank and Abu Dhabi Health Data Services (ADHDS), a global tech-enabled healthcare company operating Malaffi.
 <br/>
 <br/>
 The Organic Chemistry Scientist assists the Senior Scientist in solving complex problems in a scientific, technology or engineering domain and is primarily responsible for supporting the analytical testing requirements of the wastewater monitoring laboratory and interpreting scientific data of moderate to difficult complexity. The Organic Chemistry Scientist supervises work and performance of laboratory technicians and with their assistance checks and pre-approves the test results obtained from sample analysis in order to satisfy the needs of the project&rsquo;s Stakeholders.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Conducting advanced organic chemistry analyses using LCMSMS, GCMSMS, HRMS, and related systems.
  </li>
  <li>
   Supervising laboratory technicians and approving analytical results.
  </li>
  <li>
   Developing, optimizing, and validating test methods for wastewater monitoring.
  </li>
  <li>
   Supporting regulatory compliance, audit readiness, and QA/QC standards.
  </li>
  <li>
   Applying statistical tools to analyze data, identify root causes, and resolve issues.
  </li>
  <li>
   Maintaining calibration, troubleshooting, and operation of chromatography and mass spectrometry systems.
  </li>
  <li>
   Providing technical training and mentorship to laboratory personnel.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MSc in Analytical Chemistry with specialization in Organic Chemistry (or related discipline).
  </li>
  <li>
   Minimum 2 years&rsquo; experience in a chemistry lab environment, ideally wastewater or water testing.
  </li>
  <li>
   Proven expertise in advanced organic analyses (OCPs, PCBs, VOCs, SVOCs, PAHs, hormones, PPCPs, drugs).
  </li>
  <li>
   Proficiency with sample preparation techniques (SPE, LLE, SPME, Headspace-trap, Thermal desorption).
  </li>
  <li>
   Strong knowledge of QA/QC, ISO standards (17025, 9001, 14001), and LIMS systems (Labware).
  </li>
  <li>
   Ability to supervise projects, mentor staff, and communicate technical data effectively.
  </li>
 </ul>
</div>


Explore 441+ Data scientist in Abu Dhabi this September. Find roles across top companies and apply now to boost your career.

441 data scientist jobs IN Abu Dhabi

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - AI/ML Engineer

Senior AI Scientist

Data Analyst

Organic Chemistry Scientist

Organic Chemistry Scientist