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Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.Responsibilities<ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul>Requirements<ul><li>Experience: 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul>Bonus<ul><li>Experience with geospatial data analysis.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

Data Scientist

Discovered MENA

<div>
 
 
 Job Title:
 
 Data Scientist
 
 
 
 Location:
 
 Abu Dhabi (On site)
 
 
 
 
 
 We&rsquo;re hiring
 
 Data Scientists
 
 to join one of the world&rsquo;s largest and most respected financial institutions! If you&rsquo;re passionate about turning data into meaningful insights and building impactful AI solutions, we&rsquo;d love to hear from you.
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 In this role, you&rsquo;ll design and develop scalable machine learning models and AI-driven solutions that tackle complex business challenges and support smarter decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with large, complex datasets to solve real-world business problems
 </li>
 <li>
 Collect, clean, and preprocess data for analysis and model training
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover insights and guide model development
 </li>
 <li>
 Build, train, and optimize machine learning models using modern algorithms and frameworks
 </li>
 <li>
 Develop end-to-end ML pipelines, from data ingestion to model deployment
 </li>
 <li>
 Automate model training, testing, and deployment using CI/CD and MLOps tools
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production systems and deliver complete solutions
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 5+ years of experience in data science, machine learning, or AI
 </li>
 <li>
 Strong knowledge of supervised and unsupervised learning, deep learning, and areas such as NLP, computer vision, or generative AI (including LLMs)
 </li>
 <li>
 Proficiency in Python and/or R, with working knowledge of SQL
 </li>
 <li>
 Experience building data pipelines and working with big data tools (e.g. Spark, Airflow, Hadoop)
 </li>
 <li>
 Understanding of model serving, APIs (FastAPI, Flask), and optimizing models for real-time or batch inference
 </li>
 <li>
 Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools such as MLflow or Kubeflow
 </li>
 <li>
 Experience deploying models on cloud platforms like AWS, Google Cloud, or Azure (e.g. SageMaker, Vertex AI)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 If this sounds like the right next step for you,
 
 apply now
 
 !
 
</div>

Presight

<div>
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight, an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (AI). 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.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for a qualified and proficient
 
 Data Scientist
 
 to develop and deliver AI-powered capabilities for public safety solutions and products. This role focuses on LLMs, agentic &amp; conversational AI, and retrieval-augmented generation to extract insights, summarize information, and support decision-making in high-stakes operational environments. The candidate will play a pivotal role in shaping next-generation AI workflows, ensuring outputs are accurate, explainable, and aligned with organizational objectives.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Innovate, design, build, and deploy autonomous AI agents and LLM-powered solutions that enhance workflow automation, summarization, and decision-support in public safety and operational contexts.
 </li>
 <li>
 Develop agentic systems capable of interacting with APIs, querying internal knowledge sources, and reasoning over structured and unstructured data.
 </li>
 <li>
 Develop AI tools and integrate LLMs with external systems, leveraging frameworks such as MCP to streamline interactions and enable agentic workflows.
 </li>
 <li>
 Collaborate with data scientists, MLOps engineers, and software engineers to design and implement agentic systems and automated workflows.
 </li>
 <li>
 Develop evaluation frameworks to measure model and agent performance, scalability, safety, and impact on operational workflows.
 </li>
 <li>
 Contribute to shared AI infrastructure, including reusable APIs, prompt libraries, model registries, and best-practice guidelines for agent development.
 </li>
 <li>
 Stay aligned with the latest research, open-source advancements, and emerging AI/ML technologies, acting as an evangelist to promote adoption of cutting-edge solutions.
 </li>
 <li>
 Engage with stakeholders and clients by presenting demos, gathering feedback, and collaborating on-site as required to ensure successful delivery.
 </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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in AI, data science, computer science, or related field.
 </li>
 <li>
 Minimum 3 years of professional experience in AI/NLP development
 </li>
 <li>
 Hands-on experience in LLMs, prompt engineering, conversational and agentic AI frameworks.
 </li>
 <li>
 Strong programming skills in Python, with experience in PyTorch.
 </li>
 <li>
 Experience with Hugging Face ecosystem, embeddings, vector databases, RAG pipelines, and agentic AI frameworks such as LangFlow, LangGraph, and DIFY.
 </li>
 <li>
 Experience building and integrating knowledge graphs for entity linking, relationship modelling, and structured reasoning.
 </li>
 <li>
 Familiarity with recommender systems and traditional ML algorithms for decision-support applications.
 </li>
 <li>
 Hands-on experience with Docker, API development, cloud platforms (AWS, GCP, or Azure), GPU clusters, and high-performance computing environments.
 </li>
 <li>
 Proficient with Git/version control, and reproducible development practices.
 </li>
 <li>
 Proven track record of deploying AI/LLM solutions for real-world applications.
 </li>
 <li>
 Strong analytical and evaluation skills, with experience in model metrics, error analysis, and bias detection.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing and deploying autonomous or agentic AI systems in operational workflows in production environments.
 </li>
 <li>
 Practical experience with graph databases (Neo4j, AWS Neptune, etc.) and graph-based reasoning approaches.
 </li>
 <li>
 Exposure to ethical AI frameworks, compliance, and explainable AI techniques.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 Inquisitive, performance-driven individuals with a bias for action, who can work effectively under ambiguity and rapidly iterate on AI solutions. The ideal candidate will have strong technical skills, the ability to collaborate well with the team, and a passion for building trustworthy AI capabilities that deliver meaningful operational impact.
 
 
 
 What Working At Presight Offers
 
 
 
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision and focus on innovation.
 
 
 
 Career:
 
 Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
 
 
 
 Rewards:
 
 Competitive remuneration with perks including healthcare, education support, and leave benefits.
</div>

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

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

Lead Data Scientist

ALTÉRRA

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 ALT&Eacute;RRA is a $30 billion catalytic climate investment fund designed to mobilize capital at scale and accelerate the transition to a climate-resilient economy. Our mission is to activate and expand the global climate finance ecosystem by stimulating innovation, unlocking private capital, and reducing investment barriers in emerging markets and developing economies (EMDEs).
 
 
 
 
 
 With a strong emphasis on actionable, high-impact investments, ALT&Eacute;RRA deploys capital through a combination of fund investments, co-investments, and direct investments, supporting best-in-class managers and projects that align with our climate and financial objectives. Alterra Management Limited, based in ADGM and regulated by the ADGM Financial Services Regulatory Authority, serves as the investment manager for the fund.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The successful candidate will support the strategy and impact team in presentations, other material preparation, analytical and data work. This entry-level role is ideal for recent graduates with strong analytical skills, a willingness to learn, interest for climate issues, and relevant project or extracurricular experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Help prepare presentations, initial technical analyses and screenings of investment opportunities from an impact perspective, using quantitative methods and data analytics.
 </li>
 <li>
 Participate in research deep dives and analysis related to specific strategy, sectors or themes.
 </li>
 <li>
 Collect, clean, and analyse datasets related to climate/impact performance, applying statistical and machine learning techniques where appropriate.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in economics, environmental science, data science, sustainable business, finance, or a related field.
 </li>
 <li>
 Extracurricular involvement or project experience in climate impact, sustainability, data analytics, or related areas (e.g., university research projects, student organizations, internships, hackathons).
 </li>
 <li>
 Experience preparing technical reports, dashboards, or presentations (academic or extracurricular).
 </li>
 <li>
 Technical proficiency or familiarity with climate science, environmental policies, and sustainability frameworks is a plus.
 </li>
 <li>
 Experience or coursework in data analytics tools and programming languages (e.g., Python, R, SQL) and data visualization platforms (e.g., Power BI, Tableau) is desirable.
 </li>
 <li>
 Strong analytical and quantitative skills, with the ability to interpret and communicate complex data to both technical and non-technical audiences, both in writing and presentations.
 </li>
 <li>
 Eagerness and ability to learn quickly and adapt, take initiative, and contribute
 </li>
 <li>
 Collaborative team player, able to work effectively in a fast-paced, cross-functional environment.
 </li>
 </ul>
 
 
</div>

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

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618 data scientist jobs IN The Water Research Center Dr Ali Trabolsi Jobs In Abu Dhabi

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Lead Data Scientist

Data Scientist

Senior Data Scientist (Geospatial AI)