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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)

Visionary Tech Services

<div>
 Join our team at Visionary Tech Services (VTS), a fast-growing AI Services &amp; Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.
 
 
 If you're passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.
 
 
 The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles
 </li>
 <li>
 Prior experience in pre-sales: proposal writing, estimation, and risk registers
 </li>
 <li>
 Significant background in AI consulting services, leading projects and teams for clients across industries like oil &amp;gas, telecom, health, construction, finance, banking, technology, real estate, media, etc
 </li>
 <li>
 Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements
 </li>
 <li>
 Strong experience in Agile/Scrum environments and cross-functional coordination
 </li>
 <li>
 Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued
 </li>
 <li>
 Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects
 </li>
 <li>
 Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows
 </li>
 <li>
 Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution
 </li>
 <li>
 Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development
 </li>
 <li>
 Identify new opportunities for applying data science within client engagements and advise on feasibility and impact
 </li>
 <li>
 Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner
 </li>
 <li>
 Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives
 </li>
 </ul>
</div>

Lead Data Scientist

Visionary Tech Services LLC

<div>Join our team at Visionary Tech Services (VTS), a fast-growing AI Services &amp; Consultancy company, that'ssolving critical business problems for top-tier clients in theregion's most important industries.
If you&rsquo;re passionate about applying data science, machinelearning, statistics, and real-world experimentation tosolve meaningful business problems, this role is for you.
The Lead Data Scientist will spearhead the design,development, and deployment of advanced AI andmachine learning solutions at VTS. You will lead a team ofdata scientists coordinate cross-functional efforts, andensure the technical excellence and business impact ofdata science projects. As a key technical advisor, you willinterface with clients and stakeholders to drive innovationand align solutions with strategic objectives.
Requirements<ul>
<li>
8+ years of extensive experience in data science, with atleast 3 years in leadership or senior roles.</li>
<li>Prior experience in pre-sales: proposal writing, estimation, and risk registers.</li>
<li>Significant background in AI consulting services, leading projects and teams for clients across industries like oil &amp;gas, telecom, health, construction, finance, banking, technology, real estate, media, etc.</li>
<li>Expertise in strategic project management, MLOps implementation, and mentoring junior data scientists inhigh-impact consulting engagements.</li>
<li>Strong experience in Agile/Scrum environments and cross-functional coordination.</li>
<li>Recognized contributions to open-source, research publications, conference talks, or leadership in analytics communities are highly valued.</li>
<li>Lead end-to-end development and deployment of complex machine learning models and AI systems for client projects.</li>
<li>Define model architecture, best practices, and maintain high code quality and MLOps governance in data science workflows.</li>
<li>Manage cross-functional collaboration between data science, software engineering, product, and business teams to ensure seamless project execution.</li>
<li>Mentor and coach junior and senior data scientists, providing guidance on methodologies, code reviews, and professional development.</li>
<li>Identify new opportunities for applying data science within client engagements and advise on feasibility and impact.</li>
<li>Serve as a technical advisor to clients and executive stakeholders, communicating complex concepts in a clear, business-oriented manner.</li>
<li>Ensure that all solutions are scalable, maintainable, and aligned with broader strategic business objectives.</li></ul></div>

Quantum One | Q One

<div>
 
 
 
 About Us
 
 
 
 
 
 Quantum One
 
 is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
 
 
 We&rsquo;re looking for a highly skilled and motivated
 
 Data Scientist
 
 to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
 
 
 
 
 
 
 
 Our Offer &amp; Your Growth
 
 
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
 
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
 
 <ul>
 <li>
 Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
 </li>
 <li>
 Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
 </li>
 <li>
 Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 
 <ul>
 <li>
 
 Experience:
 
 A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
 </li>
 <li>
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with our international team and clientele.
 </li>
 <li>
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
 </li>
 </ul>
 
 
 
 
 
 Machine Learning Expertise:
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
 </li>
 <li>
 Model Interpretation: Experience utilizing tools like SHAP for model explainability.
 </li>
 <li>
 Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
 </li>
 </ul>
 
 
 
 
 
 Advanced AI Systems (Highly Valued):
 
 
 
 Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
 
 <ul>
 <li>
 Frameworks: LangChain.
 </li>
 <li>
 Models &amp; Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
 </li>
 </ul>
 
 
</div>

ICARDA

Reports to: Research Team Leader - Soils, Waters and Agronomy
 Location: Abu Dhabi, UAE
 
Main purpose of the position
 ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.
 The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.
 
About ICARDA: 
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.
 ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.
 
Main responsibilities: 
<ul>
<li>Work across various ICARDA programs with a cohort of datasets: geospatial, biophysical, climatic, genomic and socioeconomic datasets to improve predictive capabilities of various agrifood system processes (from gene to regional scales).</li>
<li>Develop Predictive AI solutions (machine learning, ANN, big data-based forecasting) and use generative AI applications to accelerate resilience in agriculture in the non-tropical drylands where ICARDA operates.</li>
<li>Example works include, but not limited to, mapping crop yield gaps, crop-water relations, soil salinity, climate risks, crop and livestock disease outbreaks, pest infestations, crop ideotype design, analyzing HTP phenotypic data, mapping soil carbon, and socioeconomic processes etc. Utilize geospatial analysis and remote sensing to assess dynamics of land use, crop conditions, and natural resources in irrigated, rainfed, deserts and rangelands, TPE analytics to help crop improvement etc.</li>
<li>Take leadership in cloud-based Data/AI workflows using AWS, Azure, or GCP along with the necessary cyber security protocols.</li>
<li>Provide thought leadership and advocacy for the application of different Large Language Models (LLMs) and GPTs for agricultural applications, such as text analysis of agricultural reports and farmer interviews. Provide supervision and oversight to test the efficacy of the LLMs/GPTs developed in CGIAR and bilateral initiatives for e-extension service platforms and other tools.</li>
<li>Engage in science-policy dialogues on digital actions with the key stakeholders at national and sub-national levels and liaise with key partners and play an active role in resource mobilization of the digital and data-driven research program at ICARDA.</li>
<li>Develop user-friendly applications and dashboards to visualize and communicate data insights to stakeholders in collaboration with developers and the software industry. These applications can be in across the ICARDA programs.</li>
<li>Be the focal point for ICARDA to identify, collect, and curate relevant data from various ICARDA teams, external sources including government agencies, farmers, and remote sensing platforms complying with the CGIAR FAIR data (Findable, Accessible, Interoperable, Reusable) principles.</li>
<li>Explore the use of IoT devices and sensors for data collection and real-time monitoring of agricultural and hydrometeorological variables and archive it to centralized databases located within ICARDA IT platforms.</li>
<li>Lead and support concept note and proposal development to strengthen ICARDA’s resource mobilization efforts, while advancing a vibrant Digital and Data Science portfolio through collaborative project design and strategic partnerships.Stay updated on the latest advancements in the field and explore their potential applications in the nontropical dryland regions and liaise with key partners and stakeholders. Publish research findings in peer-reviewed journals and conferences.</li>
<li>Strengthen institutional capacity in data science and AI through training, mentoring junior staff, embedding reproducible workflows, and promoting standardized practices across projects.</li>
</ul>
Requirements: 
Education, qualifications, and experience
 
Essential qualifications and competencies:: 
<ul>
<li>Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline.</li>
<li>A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level is required.</li>
<li>Candidates with a Master’s degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries.</li>
<li>Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing is essential.</li>
<li>Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous.</li>
<li>Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL).</li>
<li>Demonstrated ability to lead data science projects and teams effectively.</li>
<li>Excellent communication and interpersonal skills are essential for engaging and collaborating with diverse stakeholders.</li>
<li>Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums is frequently required.</li>
<li>Capable of working both independently and collaboratively within a team setting.</li>
<li>Previous experience in agricultural research or related fields.</li>
<li>Knowledge of the agricultural context in the dryland regions.</li>
<li>Experience with leading ICT4D and data-centric projects.</li>
<li>Track record of publications in relevant scientific journals and web-based repositories such as GitHub.</li>
</ul>
Desirable skills:: 
<ul>
<li>Strong programming skills in languages such as Python, R, and JavaScript to develop and implement</li>
</ul>
AI and ML solutions.
 
Benefits: 
Terms of appointment, salary, and benefits: 
This is an internationally recruited staff position for which ICARDA offers an attractive compensation package including a competitive salary, medical insurance, 30 days of annual leave, five months’ maternity leave, 15 days’ paternity leave. The successful candidate will be offered an initial contract of 3 years, renewable subject to continued need for the position, availability of funds and satisfactory performance. The first year will be probationary period.
 
ICARDA accepts applications only in English which is the organization’s official communication language. Applications in other languages will not be considered.
 Only shortlisted applications will be contacted.

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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.

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Senior Data Scientist (Geospatial AI)

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