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senior environmental data scientist Jobs in Abu Dhabi

senior environmental data scientist

system analyst

data scientist

Etihad

<div>
 
 Synopsis
 
 
 
 We are looking for a detail-oriented Data Scientist to help unlock the power of data to drive smarter decisions and innovation. As a data scientist, you&rsquo;ll transform complex data into actionable insights, build predictive models and help shape data driven strategies that make a real impact.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Deliver actionable insights and predictive models that inform strategic decision making
 </li>
 <li>
 Ensure data science models are robust, explainable, and aligned with business objectives.
 </li>
 <li>
 Maintain data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Collaborate across teams to embed models into production environments
 </li>
 <li>
 Uphold ethical use of data, ensuring compliance with governance, privacy, and regulation
 </li>
 <li>
 Collect clean and pre process large data sets from various structured sources
 </li>
 <li>
 Perform exploratory data analysis (EDA)
 </li>
 <li>
 Develop and validate statistical models
 </li>
 <li>
 Build data visualisation using matplotlib, seaborn, Plotly or BI tools such as Tableau
 </li>
 <li>
 Expericnce with MS Aure cloud platforms and Databricks
 </li>
 <li>
 High proficiency in coding languages of SQL, Python
 
 
 </li>
 </ul>
 
 Education &amp; Experience
 
 
 
 <ul>
 <li>
 4+ years of experience in a data science or similar role.
 </li>
 <li>
 University degree, technology certifications advantageous .
 </li>
 <li>
 Experience following the Scrum methodology (certification is desirable)
 </li>
 <li>
 Great communication skills
 </li>
 <li>
 Familiar with Machine Learning
 
 
 </li>
 </ul>
 
 About Etihad Airways
 
 
 
 Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world&rsquo;s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad&rsquo;s codeshare partners, Etihad&rsquo;s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad&rsquo;s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
 
 
 To learn more, visit etihad.com
 
 
 
 Recruitment Fraud Alert
 
 
 
 Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.
</div>

Data Scientist

Cleveland Clinic Abu Dhabi

<div>
 
 JOB SUMMARY
 
 
 The Data Scientist will extract and analyze large datasets from a range of heterogenous business applications, most
 
 
 importantly the electronic medical record EMR. Using statistical, artificial intelligence and machine learning tools and
 
 
 algorithms, the data scientist will discover and offer insights into the data. They will design, develop, build and validate
 
 
 predictive, machine learning and AI models based on requirements and communicate the results in an understandable
 
 
 manner, and once approved by the business, the algorithms and models will be deployed into the production
 
 
 environment.
 
 
 
 
 
 PRIMARY JOB DUTIES AND RESPONSIBILITIES:
 
 
 &middot; Collaborate with the business stakeholders to document the business requirements, anticipated benefits, and
 
 
 success criteria for analytics initiatives
 
 
 &middot; Collaborate with subject matter experts to define the use case and to prepare an exhaustive set of potential features for analysis &middot; Perform feature engineering for optimization and dimensionalityreduction &middot; Perform advanced descriptive and diagnostic analytics (Exploratory Data Analysis) &middot; Perform Data Profiling &middot; Extract, process, clean, and validate quality datasets &middot; Assist data engineers in implementing data pipelines &middot; Conduct Experiment Design &middot; Identify multiple predictive, machine learning and AI algorithms that potentially fit the business case &middot; Write general, reusable code for repeatable analysis &middot; Evaluate and tune the models using various performance and error measures, hyper parameter tuning and cross validation techniques &middot; Select the final model based on performance &middot; Document and present the model findings to the business by explaining the model assumptions and validation methodologies &middot; Deploy the model by integrating it with the EMR or other business applications / systems &middot; Monitor the model for data and concept drift and retrain or tune the model as required &middot; Build visual interfaces with &ldquo;what-if&rdquo; functionality for business user interaction.
 
 
 
 
 
 ROLE LEVEL ACCOUNTABILITIES
 
 
 &middot; Adheres to CCAD&rsquo;s standards as they appear in the Code of Conduct and Conflict of Interest policies
 
 
 
 
 
 In view of the evolving needs and opportunities within CCAD, this position may be required to perform other duties
 
 
 as assigned and reporting relationships may vary.
 
 
 
 
 
 ORGANIZATION-WIDE COMPETENCY ASSESSMENT REQUIREMENTS:
 
 
 All employees will embrace the CCAD mission, vision and values and be responsible for adhering to the core values of the institution, including: Patient&rsquo;s First, Collaboration, Mutual Respect, Quality, Patient Safety, Integrity, Cultural Sensitivity and Compassion. All employees are also expected to meet the standards of performance outlined in the Organization-Wide Competencies listed below as applied to the position. Customer Service Orientation includes attitude, behavior, interpersonal skill and problem solving that enable an employee to respond to internal and external customer needs and expectations in a positive manner. Adaptability including teamwork, flexibility needed to fulfill job responsibilities, adapting to changes in work environment and accepting supervisory feedback. Efficiency and Effectiveness includes quantity and quality of desired work, as well as organization skills necessary to perform successfully. Essential Job Requirements includes adherence to all relevant policies, procedures and guidelines affecting the work environment, as well as maintenance of required competencies and communication skills. Managerial Responsibilities includes overall accountability for assigned work group relative to operational goals, personnel requirements and budgetary constraints.
 
 
 
 
 
 Education Bachelors in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics Masters in a relevant field such as Statistics, Computer Science, Data Science, Mathematics, Physics
 
 
 Experience 5+ years 3+ years
 
 
 Certification and
 
 
 Licensure
 
 
 Professional
 
 
 Membership
 
 
 Job Specific Skills and
 
 
 Abilities &middot; Excellent oral and written communication skills. &middot; Experience with Principal Component Analysis and Linear Discriminant analysis &middot; Experience with Visual Analytics tools &middot; Experience with Correlations, Clustering, Imputation, De-skewing, Normalization and Outlier Analysis &middot; Experience with statistical analysis, Inferential statistics, hypothesis testing, Bayesian statistics, probability theory, Exploratory data analysis, Correlation - Regression analysis, design of experiments, sample size calculation etc. &middot; Experience with extracting data from database management systems &middot; Experience with transformation and cleaning of both structured and unstructured data &middot; Experience with Agile Software Development methodologies &middot; Experience with Software Engineering &middot; Experience in predictive modelling, Time series analysis, machine learning, neural networks, deep learning and reinforcement learning. Deep knowledge of traditional ML concepts such as GLMs, GMMs, SVMs, &middot; Healthcare experience is preferred
 
 
 random forest, regression , decision trees, and boosting. &middot; Experience with AI models, Tensorflow, Open AI, LLMs &middot; Experience with MLOPS, LLMOPS, deploying models into production &middot; Experience with User Interface (UI) development Experience with the following software: &middot; Cloud Platforms: Fabric, Azure, AWS, GCP &middot; Database Management Systems MS SQL Server, Azure Data Lake, Azure Synapse &middot; Data Wrangling: MS SSIS, Azure Data Factory &middot; Statistical Analysis Software: SAS, SPSS, Minitab &middot; Version Control: GitHub &middot; Platform: Databricks, Azure ML &middot; Scripting Language: Python / R and libraries (Pandas, NumPy, Seaborn, Matplotlib) &middot; Query Language: SQL &middot; Other Languages: Spark SQL &middot; AI &amp; ML Frameworks : TensorFLow, Keras , PyTorch , GANs, CNN, Caffe, Scikit-learn, Spark ML &middot; Deployment Software: Docker &middot; Visual Analytics: Power BI, Tableau, Minitab, Excel &middot; UI Tools: Shiny, Power Apps
 
 
 
</div>

First Abu Dhabi Bank (FAB)

<div>
 
 Join the UAE&rsquo;s largest bank and one of the world&rsquo;s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting &amp; dynamic industry.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 ROLE PROFILE:
 
 
 
 
 
 &bull;
 
 Designs and develops scalable machine learning models and AI-driven solutions
 
 to address complex business challenges and enhance decision-making processes
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 :
 
 
 
 
 &bull;
 
 Work with large and complex data sets
 
 to solve challenging business problems
 
 
 
 
 &bull;
 
 Collect, clean, and preprocess large datasets
 
 for analysis &amp; model training
 
 
 
 
 &bull;
 
 Perform exploratory data analysis
 
 (EDA) to uncover insights and inform model development
 
 
 
 
 &bull;
 
 Develop, train, and optimize machine learning models
 
 using state-of-the-art algorithms and frameworks
 
 
 
 
 &bull;
 
 Build end-to-end ML pipelines
 
 , including data ingestion, transformation, model training, validation, and deployment
 
 
 
 
 &bull;
 
 Automate workflows for model training, testing, and deployment
 
 using CI/CD pipelines and MLOps tools
 
 
 
 
 &bull;
 
 Collaborate with cross-functional teams
 
 to integrate models into applications and deliver end-to-end solutions
 
 
 
 
 
 
 Qualifications
 
 
 
 
 &bull;
 
 5+ years of experience
 
 in data science, machine learning, or AI
 
 
 
 
 &bull;
 
 Expertise in supervised/unsupervised learning
 
 , deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
 
 
 
 
 &bull;Strong proficiency in
 
 Python and/or R
 
 ; familiarity with
 
 SQL
 
 for data querying
 
 
 
 
 &bull;Ability to
 
 build data pipelines
 
 (Spark, Airflow, Hadoop) and work with big data tools
 
 
 
 
 &bull;
 
 Understanding of model serving
 
 ,
 
 API development
 
 (FastAPI, Flask), and
 
 optimizing model performance
 
 for real-time or batch inference.
 
 
 
 
 &bull;
 
 Knowledge of Docker, Kubernetes, CI/CD pipelines
 
 , and tools like MLflow/Kubeflow for model lifecycle management (MLOps)
 
 
 
 
 &bull;
 
 Experience deploying models
 
 on AWS, Google Cloud, Azure, or similar (e.g., Sagemaker, Vertex AI)
 
 
 
 
 &bull;Educational qualifications:
 
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required
 
 
 
 
</div>

M42 Health

<div>
 
 M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.
 
 
 
 
 
 The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 AI &amp; Product Development
 
 
 <ul>
 <li>
 Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.
 </li>
 <li>
 Translate complex scientific and regulatory requirements into scalable AI-driven solutions.
 </li>
 <li>
 Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.
 </li>
 <li>
 Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.
 </li>
 <li>
 Help grow the Digital EVS portfolio.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Analytics
 
 
 <ul>
 <li>
 Lead the acquisition, curation, and harmonization of diverse environmental datasets.
 </li>
 <li>
 Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.
 </li>
 <li>
 Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.
 </li>
 <li>
 Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Collaboration &amp; Engagement
 
 
 <ul>
 <li>
 Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.
 </li>
 <li>
 Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.
 </li>
 <li>
 Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.
 </li>
 <li>
 Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.
 </li>
 </ul>
 
 
 
 
 
 Project Management
 
 
 <ul>
 <li>
 Design/collate Business requirements/documents.
 </li>
 <li>
 Define Project Scope and Objectives.
 </li>
 <li>
 Plan Data Acquisition and Preparation.
 </li>
 <li>
 Coordinate Model Development and Evaluation.
 </li>
 <li>
 Manage Stakeholder Communication.
 </li>
 <li>
 Ensure Compliance and Deployment Readiness.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.
 </li>
 <li>
 Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.
 </li>
 <li>
 Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).
 </li>
 <li>
 Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.
 </li>
 <li>
 Solid understanding of data governance, ethics, and regulatory compliance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.
 </li>
 <li>
 Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.
 </li>
 <li>
 Familiarity with UAE regulatory frameworks and international sustainability initiatives.
 </li>
 <li>
 Strong stakeholder management and science communication skills.
 </li>
 </ul>
</div>

Senior Environmental Data Scientist

National Reference Laboratory

<div></div><div><div><div><div><div><div><div>ID</div>
<div>2025-4667
</div></div><div><div>Category</div>
<div>Digital &amp; Technology
</div></div><div><div>Asset : Name</div>
<div>Environmental Sciences
</div></div><div><div>City</div>
<div>Abu Dhabi
</div></div></div></div></div></div><h2 class="jobSectionHeader">Overview
</h2><div><div><div><div>M42 is a first-of-its-kind, global tech-enabled health company, headquartered in Abu Dhabi. We combine unique medical and data-centric technologies with deep clinical expertise to drive innovation and deliver world-class healthcare solutions. At M42, we are committed to pushing the boundaries of science and technology to improve lives across communities, the environment, and future generations.</div><div></div><div> 
The Senior Environmental Data Scientist, will spearhead the design, development, and deployment of AI-driven digital solutions that address pressing challenges in air quality, wastewater surveillance, climate resilience, and biodiversity monitoring. This role bridges scientific operations, advanced data analytics, and digital innovation, ensuring delivery of impactful products that shape public health, sustainability, and policy outcomes.</div>
</div></div></div><h2 class="jobSectionHeader">Responsibilities
</h2><div><div><div><div>AI &amp; Product Development</div><ul><li>
Design, develop, and validate AI/ML models for environmental data analysis, prediction, and decision support.</li><li>
Translate complex scientific and regulatory requirements into scalable AI-driven solutions.</li><li>
Collaborate with experts in microbiology, chemistry, genomics, and environmental sciences to ensure product accuracy and relevance.</li><li>
Deploy explainable and reliable AI tools that integrate multi-source datasets, including laboratory, IoT sensor, and field data.</li><li>
Help grow the Digital EVS portfolio</li></ul><div>
Data Strategy &amp; Analytics</div><ul><li>
Lead the acquisition, curation, and harmonization of diverse environmental datasets.</li><li>
Build scalable data pipelines and infrastructure for real-time monitoring and predictive modeling.</li><li>
Develop dashboards and visualization platforms to support scientists, policymakers, and other stakeholders.</li><li>
Ensure compliance with international standards in data ethics, governance, and regulatory frameworks.</li></ul><div>
Cross-Functional Collaboration &amp; Engagement</div><ul><li>
Partner with internal teams (lab scientists, engineers, clinicians, business development) to align AI solutions with organizational goals.</li><li>
Collaborate with regulators, research institutions, and government agencies on joint initiatives and policy-driven projects.</li><li>
Present technical proposals and insights to both technical and non-technical audiences, including executives, clinicians, and policymakers.</li><li>
Represent M42 in global forums, conferences, and collaborations related to AI, public health, and environmental innovation.</li></ul><div>
Project Management</div><ul><li>
Design/collate Business requirements/documents</li><li>
Define Project Scope and Objectives</li><li>
Plan Data Acquisition and Preparation</li><li>
Coordinate Model Development and Evaluation</li><li>
Manage Stakeholder Communication</li><li>
Ensure Compliance and Deployment Readiness</li></ul>
</div></div></div><h2 class="jobSectionHeader">Qualifications
</h2><div><div><div><div>Minimum Qualifications</div><ul><li>
Advanced degree (MSc or PhD) in Data Science, Artificial Intelligence, Environmental Sciences, Computational Biology, or related field.</li><li>
Proven experience in designing and deploying AI solutions within scientific, environmental, or healthcare contexts.</li><li>
Proficiency in programming languages such as Python and or R, with expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Strong knowledge of environmental datasets (e.g., wastewater surveillance, air quality monitoring, biodiversity studies).</li><li>
Experience with data visualization platforms (e.g., Power BI, Tableau, Dash) and real-time monitoring tools.</li><li>
Solid understanding of data governance, ethics, and regulatory compliance.</li></ul><div>
Preferred Qualifications</div><ul><li>
Experience leading cross-disciplinary projects involving environmental sciences, public health, and digital innovation.</li><li>
Demonstrated track record of publishing or presenting applied AI research in peer-reviewed journals or global conferences.</li><li>
Familiarity with UAE regulatory frameworks and international sustainability initiatives.</li><li>
Strong stakeholder management and science communication skills.</li></ul></div></div></div></div><div></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)

TAT IT Technolgies

<div>
 
 Urgent requirement for Data Scientist AI/ML with Banking Experience Required is required for our banking clients in Abu Dhabi ,UAE
 
 
 
 <ul>
 <li>
 Minimum 5 years in AI/ML roles
 </li>
 <li>
 Proven ability to design, develop, and deploy advanced machine learning models for diverse, real-world business applications.
 </li>
 <li>
 Strong background in model experimentation, validation, and performance optimization using industry-standard techniques.
 </li>
 <li>
 Hands-on experience conducting A/B testing and deriving statistically sound insights to inform model and product decisions.
 </li>
 <li>
 Deep expertise in building and fine-tuning generative AI models tailored to specific use cases and business objectives.
 </li>
 <li>
 Practical experience implementing Retrieval-Augmented Generation (RAG) and agentic workflows in production environments.
 </li>
 <li>
 Skilled in prompt engineering&mdash;designing, testing, and refining prompts to maximize the effectiveness of large language models (LLMs).
 </li>
 <li>
 Proficient in developing and managing end-to-end machine learning pipelines using platforms such as Azure ML or AWS SageMaker.
 </li>
 <li>
 Solid understanding of cloud-based data storage and processing, including Azure Blob Storage, Tables, Queues, and Amazon S3.
 </li>
 <li>
 Experience deploying and integrating Azure Foundation Models and Azure OpenAI services into enterprise applications.
 </li>
 <li>
 Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments.
 </li>
 <li>
 Advanced programming skills in Python, with a focus on clean, efficient, and maintainable code for AI/ML development.
 
 
 </li>
 </ul>
 Skills: ml,bank,ai
</div>

Data Scientist AI/ML with Banking Experience

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Senior Environmental Data Scientist

Senior Data Scientist (Geospatial AI)

Data Scientist AI/ML with Banking Experience