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Digital Corner for Network Solutions

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

Data Scientist

Discovered MENA

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

Presight

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

Elios Talent

<div>
 
 🌟
 
 Senior Data Scientist
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Advanced Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Data Scientist
 
 based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 
 
 
 
 
 This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
 
 
 
 
 
 This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access, analyze, and interpret
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate machine learning model outputs and ensure alignment with operational expectations
 </li>
 <li>
 Tune local parameters to optimize predictive performance in field conditions
 </li>
 <li>
 Identify anomalies, data drift, and data quality issues in near real time
 </li>
 <li>
 Generate
 
 high-quality error metrics
 
 and structured evaluation reports
 </li>
 <li>
 Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
 </li>
 <li>
 Produce clear, thorough technical documentation to support cross-team workflows
 </li>
 <li>
 Communicate findings, concerns, and recommendations with precision and clarity
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi strongly preferred)
 </li>
 <li>
 Senior-level experience in data science, ML modeling, or applied analytics
 </li>
 <li>
 Strong understanding of time-series data, anomaly detection, and model validation workflows
 </li>
 <li>
 Experience working with operational or real-time industrial data (energy sector is a plus)
 </li>
 <li>
 Ability to independently evaluate models, tune parameters, and assess data quality
 </li>
 <li>
 Excellent written and verbal communication skills for U.S. and in-country collaboration
 </li>
 <li>
 Detail-oriented, structured, and highly reliable in fast-moving technical environments
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

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

Lead Data Scientist

ALTÉRRA

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

ClearPeaks

<div>
 
 ClearPeaks is a specialist consulting firm delivering services and solutions in "Everything Data" - Business Intelligence, Advanced Analytics, Big Data &amp; Cloud, and Web &amp; Mobile Applications. Founded in 2000, we have been a trusted partner to our customers in over 15 industry verticals and functional areas, with operations spanning Europe, Middle East, the United States, and Africa.
 
 
 
 
 
 ClearPeaks is part of a strategic alliance with synvert, a group of six successful full-service Data &amp; Analytics (D&amp;A) consulting firms, with a clear goal to become one of EMEA's largest D&amp;A consulting companies.
 
 
 
 
 
 Our services are based on the latest market-leading enterprise technology platforms, and delivered by a dynamic team of expert consultants. Our strength lies in our ability to efficiently deliver customer insight and value, gained through our decades of experience with real-world challenges.
 
 
 
 
 
 As a Senior Data Scientist, you will will engage deeply in data exploration, model development, and the implementation of advanced analytics and machine learning solutions. This role is centred on hands-on data manipulation, building predictive models, and generating actionable insights to drive data-informed decisions across the organization.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Data Analysis: Perform comprehensive analysis of structured and unstructured datasets using statistical and exploratory data analysis (EDA) techniques to uncover patterns and insights.
 </li>
 <li>
 Data Cleaning and Transformation: Clean, preprocess, and transform raw data to ensure quality and readiness for analysis and modeling.
 </li>
 <li>
 Feature Engineering: Develop and select relevant features to enhance model performance and predictive capabilities.
 </li>
 <li>
 Machine Learning: Design, implement, and validate machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
 </li>
 <li>
 Predictive Modeling: Create and refine predictive models to solve business problems, leveraging techniques like regression, classification, clustering, and time-series analysis.
 </li>
 <li>
 Scalable Pipelines: Develop and maintain scalable data pipelines using SQL, NoSQL, and other relevant technologies to handle large datasets efficiently.
 </li>
 <li>
 Model Deployment: Deploy models into production environments using platforms like Dataiku, ensuring seamless integration and performance monitoring.
 </li>
 <li>
 Statistical Analysis: Apply advanced statistical methods to interpret complex data sets and derive meaningful insights.
 </li>
 <li>
 Data Visualization: Create compelling visualizations and dashboards using Power BI to effectively communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Data Storytelling: Translate analytical results into clear, actionable narratives that support strategic decision-making.
 </li>
 <li>
 Cross-Functional Collaboration: Work closely with product owners and other data professionals to develop analytical data products.
 </li>
 <li>
 Technical Support: Provide support to developed products.
 </li>
 <li>
 Technical Documentation: Maintain thorough documentation of data processes, models, and methodologies to ensure reproducibility and knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Analytics, Mathematics, Information Management, or Statistics. A master&rsquo;s degree is preferred with a focus on Data Science, Machine Learning or a related discipline.
 </li>
 <li>
 Minimum of 8 years in data science, analytics, or a related technical field, with hands-on experience in machine learning and data modeling.
 </li>
 <li>
 Demonstrated success in developing and deploying data science projects in large organizations or complex environments.
 </li>
 <li>
 Programming Languages: Proficiency in Python, R, or similar languages for data analysis and model development.
 </li>
 <li>
 Data Modeling: Strong skills in data modeling with experience in SQL and NoSQL databases.
 </li>
 <li>
 Machine Learning Frameworks: Expertise in frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
 </li>
 <li>
 Data Science Platforms: Experience with Dataiku Data Science platform and familiarity with Microsoft Azure services, including Azure ML Studio and Azure Copilot Studio.
 </li>
 <li>
 Data Visualization: Proficiency in data visualization tools like Power BI, Tableau, or similar platforms
 </li>
 <li>
 Massive Parallel Processing (MPP) Technologies: Familiarity with MPP platforms (e.g., Databricks, Snowflake) is a plus.
 </li>
 <li>
 Version Control: Experience with Microsoft DevOps as version control systems.
 </li>
 <li>
 Data Science Certification from Microsoft and Dataiku (preferred). Additional certifications in machine learning or data analytics are a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our offer to you!
 
 
 
 
 
 <ul>
 <li>
 Be part of an international and talented team, enjoying an excellent work environment where people are passionate about what they do.
 </li>
 <li>
 Possibility to grow inside the team
 </li>
 <li>
 25 vacation days
 </li>
 </ul>
</div>

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