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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>

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>

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

Senior Data Scientist

Kyndryl

<div>
 
 Who We Are
 
 
 
 At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
 
 
 
 The Role
 
 
 
 As an Agentic AI Data Scientist at Kyndryl, you&rsquo;ll help shape the future of advanced Agentic AI while working with a team that&rsquo;s leading the industry.
 
 
 We're solving real-world problems at a massive scale &mdash; powered by creativity, precision, and a shared obsession with what&rsquo;s next.
 
 
 You&rsquo;ll be part of a team shaping the future of Agentic AI - architecting and scaling a next-gen open-source framework that powers autonomous systems across industries.
 
 
 We're not just talking innovation - we're building it. Fast.
 
 
 
 Startup inside Kyndryl
 
 : Zero bureaucracy. You&rsquo;ll work with autonomy, follow your own leads, and build real systems &ndash; not tickets.
 
 
 
 Tech-first, action-oriented culture
 
 : Think in code. Rapid demo cycles, collaborative peer pairing, and framework rollouts in weeks.
 
 
 
 Direct impact at scale
 
 : Drive Kyndryl as an AI-native company - your ideas and IP shape the transformation.
 
 
 
 Deep academic integration
 
 : Be an industrial PhD supervisor. Co-author whitepapers. Publish with 2nd or 3rd attribution. Elevate your profile.
 
 
 
 Work that matters
 
 : Client-first, innovation-always. Balance advanced programming with strategic thinking and client interaction.
 
 
 
 True builder&rsquo;s environment
 
 : Collaborate with top-tier talent (most of the team holds PhDs). Everyone contributes equally &mdash; ideas over titles.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Serve as the bridge between deep technical work and business transformation, solving meaningful challenges through Agentic AI.
 </li>
 <li>
 Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems.
 </li>
 <li>
 Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale.
 </li>
 <li>
 Co-own the evolution of the Agentic AI framework - not just code, but also architecture, design, product thinking, and client success.
 </li>
 <li>
 Mentor and inspire a new generation of researchers and developers - from PhD students to business leaders - with your contributions credited and published.
 
 
 </li>
 </ul>
 Your Future at Kyndryl
 
 
 We don&rsquo;t hire for a role - we hire for a journey. You&rsquo;ll be empowered to work remotely, flexibly, and at your best. Your success is measured by what you create, not where you work from. Expect an innovation cycle where you&rsquo;ll build a legacy portfolio and help reimagine what AI can do for business.
 
 
 
 Who You Are
 
 
 
 Who You Are
 
 
 You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
 
 
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 3+ years of experience as an Agentic AI Data Scientist or in a comparable role
 </li>
 <li>
 Proven track record in client-facing engagements, demonstrating strong consultancy and stakeholder management skills
 </li>
 <li>
 Hands-on experience delivering end-to-end GenAI projects and systems
 </li>
 <li>
 MSc in computer science, mathematics, AI, or a related field
 </li>
 <li>
 Hands-on Agentic AI / GenAI engineering exposure - building or contributing to frameworks, not just using APIs
 </li>
 <li>
 Strong programming fluency (Python) and architectural design (e.g., microservice ecosystems, message brokers)
 
 
 </li>
 </ul>
 
 Preferred Skills And Experience
 
 
 
 <ul>
 <li>
 Ability to operate independently and collaborate within a high-trust, low-hierarchy team
 </li>
 <li>
 Contributions to academic/technical communities and shaping open-source projects
 </li>
 <li>
 PhD or equivalent research experience
 
 
 </li>
 </ul>
 Bonus Points For:
 
 
 <ul>
 <li>
 Certifications in Azure, AWS, or Google ML platforms
 </li>
 <li>
 Demonstrated contributions to graph theory, DevOps, or distributed systems
 </li>
 <li>
 Previous projects involving digital transformation, AI-native product development, or enterprise automation
 </li>
 <li>
 Presence in academic or whitepaper communities (authorship, publication, or presentation)
 </li>
 <li>
 Arabic language skills
 
 
 </li>
 </ul>
 
 Being You
 
 
 
 Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way.
 
 
 
 What You Can Expect
 
 
 
 With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
 
 
 
 Get Referred!
 
 
 
 If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.
</div>

Agentic AI Data Scientist

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)

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Are you a data visionary who thrives at the intersection of complex architecture and strategic business value?
We are seeking a Data Modeler to spearhead the modernisation of enterprise data ecosystems. This is a high-impact consultancy role designed for an expert who can bridge the gap between low-level data engineering and high-level decision intelligence.
Your primary objective will be to design and implement scalable data models and semantic layers within Lakehouse architectures. You will go beyond traditional warehousing to build the &quot;connective tissue&quot; of the enterprise&mdash;designing robust Knowledge Graphs and Ontologies that enable seamless interoperability and advanced data discovery.
Your responsibilities as the Data Modeler will include:<ul>
<li>
Data Modeling</li>
<li><ul><li>Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).</li>
<li>Implement dimensional modeling for analytical layers.</li>
<li>Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.</li>
<li>Define and enforce naming conventions, metadata standards, and maintain model documentation. 
</li></ul></li><li>Semantic Layer &amp; Ontologies</li>
<li><ul><li>Design and implement a semantic layer to enable business-friendly data access and self-service analytics.</li>
<li>Work with advanced AI-tooling for semantic layer deployment and integration.</li>
<li>Develop and maintain ontologies and taxonomies to standardize business concepts across domains.</li>
<li>Ensure semantic consistency across data products and reporting layers. 
</li></ul></li><li>Knowledge Graph Development</li>
<li><ul><li>Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.</li>
<li>Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g., OpenMetadata).</li>
<li>Collaborate with architects and platform engineers to ensure graph scalability and performance. 
</li></ul></li><li>Collaboration &amp; Governance</li>
<li><ul><li>Work closely with Data Architects to align models with Lakehouse design principles.</li>
<li>Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.</li>
<li>Collaborate with Data Quality teams to embed validation rules and ensure compliance. 
</li></ul></li></ul><ul><li>Optimisation &amp; Standards</li>
<li><ul><li>Ensure models support schema evolution, partitioning strategies, and performance optimisation.</li>
<li>Create reusable modeling templates and best practices for Data Factory squads.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
To be successful in this role, you should have:<ul>
<li>
Strong experience in data modeling for Lakehouse or data warehouse environments.</li>
<li>Proficiency in semantic layer design, ontologies, and knowledge graph development.</li>
<li>Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.</li>
<li>Understanding of metadata management and lineage tools (OpenMetadata preferred).</li>
<li>7+ years in data modeling or data architecture roles.</li>
<li>Experience in semantic technologies, knowledge graphs, and financial services domain is a strong plus.</li>
</ul>
You will also have experience in:<ul>
<li>
Data modeling tools (ERwin, PowerDesigner, or similar).</li>
<li>Semantic layer tools (e.g., Zaimler, AtScale, or equivalent).</li>
<li>Knowledge graph frameworks (e.g., RDF, OWL, Neo4j, or similar).</li>
<li>Analytical and conceptual thinking.</li>
<li>communicating and stakeholder engagement abilities.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication with different levels of stakeholders.</li>
<li>working with Jira and agile way of working.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

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