Data Scientist Jobs in the UAE

As the Data Scientist within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement.Accountabilities Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques. Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timelinespecifications. Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis. Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations. Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights. Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.SkillsBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred. Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python. Advanced proficiency in programming languages in SAS Base, EMiner, Advanced Hands-on Programming experience in Python. Hands on Experience of working on Dataiku Platform for production is required Azure Databricks and AWS knowledge is a plus Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques. Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku. Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies. SAS, Dataiku certifications would be added advantage. Show more Show less

Engagement Type: Independent ContractorWork Mode: Fully RemoteHours: 30-40 hours/week or Full-Time (Flexible)About The RoleWe are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile.In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.Key Responsibilities Analyze large, complex datasets to uncover patterns and generate actionable insights Build predictive models and ML pipelines across:Tabular data Time-series data NLP Multimodal datasets Design and implement validation strategies, experimental frameworks, and analytical methodologies Develop automated data workflows, feature pipelines, and reproducible research environments Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations Translate analytical results into clear recommendations for engineering, product, and leadership teams Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale Present findings via dashboards, structured reports, and documentation Required QualificationsKaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) 3-5+ years of experience in data science or applied analytics Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) Excellent communication skills and ability to present analytical insights clearly Nice to HaveContributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) Experience in AI labs, fintech, product analytics, or ML-driven organizations Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with Bayesian methods or probabilistic programming frameworks Why JoinWork on cutting-edge AI research workflows Collaborate with world-class data scientists and ML engineers Solve high-impact, real-world data science challenges Experiment with advanced modeling strategies and competition-grade validation techniques Flexible engagement options ideal for Kaggle-level problem solvers Show more Show less

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.Job DescriptionAs the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.ResponsibilitiesLeveraging ambiguous business problems as opportunities to drive objective criteria using data.Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.Designing and implementing effective and impactful machine learning systems in production.Developing a deep understanding of the product experiences and business processes that make up your area of focus.Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.Working closely with product and business teams to identify important questions that can be answered effectively with data.Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.Designing, planning, and analyzing experiments (A/B and multivariate tests).Supporting product and business managers with KPI design and goal setting.Mentoring other data scientists in their growth journeys.Contributing to improving our ways of work, our tooling, and our internal training programs.QualificationsTechnical ExperienceExperience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).Excellent SQL.Competence with reproducible data analysis using Python or R.Familiarity with data modeling and dimensional design.Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).Familiarity with BigQuery and the Google Cloud Platform is a plus.Data engineering and data pipeline development experience (e.g. via Airflow)QualificationsBachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.6+ years of experience working in data science, machine learning, and Gen AI.Experience doing data science in an online consumer product setting is a plus.A good problem solver with a ‘figure it out’ growth mindset.An excellent collaborator.An excellent communicator.A strong sense of ownership and accountability.A ‘keep it simple’ approach to #makeithappen. Show more Show less

Job SummaryWe are seeking an experienced Data Scientist with strong capabilities in data analytics, statistical modeling, and data visualization to support enterprise reporting and strategic decision-making. The role involves working with large, structured datasets, developing advanced analytical models, and creating intuitive dashboards to translate data into actionable business insights. The ideal candidate will have hands-on experience with Qlik Sense for reporting and dashboard development, along with strong SQL skills for data extraction and transformation. Experience with Oracle EBS data is highly desirable. The role requires collaboration with business stakeholders, IT teams, and management to ensure accurate, timely, and meaningful data-driven insights.Key Responsibilities:Design, develop, and maintain interactive dashboards and reports using Qlik Sense to enable data-driven decision-making.Build predictive, statistical, and analytical models to support operational, tactical, and strategic business decisions.Write and optimize SQL queries to extract, transform, and analyze large datasets efficiently.Ensure data integrity, consistency, and high performance across analytics solutions.Collaborate with business units to understand reporting needs and translate them into technical solutions.Support ongoing enhancements, troubleshooting, and optimization of data models, dashboards, and reports.Stay updated with emerging tools, techniques, and best practices in data analytics and business intelligence.Qualifications & Experience: BTech / BSc in Computer Science, MCA, or equivalent technical qualification.2–5 years of proven experience in data analytics, modeling, and dashboard development.Strong expertise in Qlik Sense and SQL; experience with Oracle EBS is a plus.Excellent analytical, problem-solving, and communication skills, with the ability to present complex data clearly to stakeholders.Ability to work independently as well as collaboratively in a dynamic, fast-paced environment. Show more Show less

Organization Unit PurposeEmirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD’s ambitious advanced analytics agenda across ENBD.Core objectives of the center include:- Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU’s- Instill a data driven culture across ENBD by building organization wide capabilities in advanced analyticsThe CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what’s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget & performance managementJob PurposeThe data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targetsThe role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniquesThe senior data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needsThe role supports Translators in communicating the design, functioning and output of the analytical models/solutions developedThe senior data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growthJob ContentDeliver a strong roadmap of AA projects in collaboration with Business UnitsDesigns and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targetsArtefact documentationSuccessful documentation of reusable codeDevelopment and learningAchieve personal technical development and learning goalsCollaboration and knowledge shareConduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etcParticipates in and helps plan cultural initiatives for CoEEducationUniversity degreeAdvanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirableExperiences6-8 years of experience in a data science role is essentialKnowledge & SkillsValidated experience of defining analytics road map and leading analytics engagementsShould have experience in machine learning, statistics, optimization or related fieldsExperience with programming is a must; specifically experience in R or PythonExperience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essentialStrong analytical and problem-solving skillsWorked in agile environments with multiple stakeholders from the businessBehavioral CompetenciesPractical and action orientedCompelling communicatorExcellent stakeholder managementFoster and promote entrepreneurial spirit and curiosity amongst team membersTeam playerQuick learner Show more Show less

QuantumGate is dedicated to developing and commercializing cutting-edge post-quantum cryptographic solutions. Our mission is to safeguard enterprise digital environments through innovative protocols and applications that address the evolving challenges of the post-quantum era.We are looking for a Senior Data Scientist to build and continuously improve the data models and the knowledge graph which will be the base of our Cryptography Discovery Tool.. You will own the technical approach for modeling, enriching, and operationalizing graph-based insights that support cryptographic asset visibility and security decision-making at enterprise scale.This is a hands-on role with end-to-end accountability: from schema/ontology design and entity resolution through data analytics, graph ML, evaluation methodology, and production integration.Responsibilities:Work closely with cryptographer and cyber security experts to translate business challenges into well-defined data science problems.Define and evolve the graph schema/ontology for security and cryptographic domains (e.g., certificates, keys, algorithms, protocols, applications, services, policies).Establish modeling standards and ensure explainability and auditability of graph-derived outputs.Architect pipelines to ingest and harmonize data from various sources.Lead entity resolution and record linkage, reconciling overlapping or inconsistent records produced by multiple collectors and data feeds (deduplication, identifier mapping, fuzzy matching, confidence-scored linking).Implement and monitor data-quality metrics: coverage, freshness, consistency, lineage, and confidence scoring.Develop graph-based analytics to surface security posture and cryptographic risk (centrality, community detection, blast-radius/dependency analysis, reachability queries).Explore and integrate Large Language Models (LLMs) and Generative AI frameworks to enhance product features and operational efficiency.Design and develop an AI assistant that translates natural-language questions into validated, safe, and performant knowledge-graph queries (e.g., Cypher/Gremlin/SPARQL).Requirements:5+ years in data science, applied ML, or data/graph-focused roles (or equivalent experience), with demonstrated ownership of production-grade systems.Strong expertise in knowledge graphs and graph analytics, including graph data modeling and query languages (e.g., Cypher, Gremlin, SPARQL).Proven experience with entity resolution and working with real-world enterprise data at scale.Solid foundations in applied statistics/ML and the ability to design rigorous evaluation methodologies.Proficiency in Python and experience building data pipelinesGraph DB/query: Cypher/Gremlin/SPARQL.Data processing/orchestration: SQL, Hadoop stack, Spark/Databricks, Airflow.ML stack: scikit-learn, PyTorch; graph ML libraries (e.g., PyG, DGL).Experience working with large datasets.Desired Skills:Cybersecurity domain familiarity, especially in one or more of: Cryptography (classical and post-quantum), PKI, certificate lifecycle, key management, vulnerability management.Experience with streaming or incremental ingestion (Kafka, CDC, timestamp-based deltas) and data observability.Background in applied research and/or publications in graph ML, security analytics, or related fields.Tableau, Power BI or Python libraries like Seaborn/Plotly.Ability to understand the "why" behind the data and its impact on the bottom line.Eagerness to stay ahead of the curve with the rapid evolution of data processing tools and frameworks. Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.We’re looking for Data Scientists to help us shape the future of financial services. It’s a challenging task, but you’ll be part of a strong and supportive teamYou’ll be collaborating with experienced professionals in Product, Design, Data Science, and Engineering on impactful projects that drive our company’s growthUp to shape what's next in finance? Let's get in touch.What You’ll Be DoingImproving existing algorithmsBuilding new PoCsDelivering data-driven solutions to enhance product performanceResearching and developing PoCs into scalable data productsCollaborating with product owners, engineers and data scientists to continually solve complex data problemsWhat You'll NeedExperience building and leading a data science team within a scaling organisationBachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering)Solid knowledge of data science tools including Python, SQL and production frameworksDemonstrated knowledge of probability and statistics fundamentalsThe ability to think strategically and diagnose problems accuratelyExperience productionising research into scalable solutionsExcellent communication and collaboration skills to partner with Product Owners and senior stakeholdersNice to haveAdvanced degree in a quantitative discipline (e.g., Masters or PhD)Experience with additional programming languages such as Java, Scala or C++Experience working in anti-fraud functionsExperience working at a large-scale global tech companyParticipation in Olympiad competitions in Physics, Mathematics, Economics or Programming at school or university levelBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less

Develop and support implementation of strategies & plans for Digital Oilfields activities in line with Company’s objectivesand priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintainthe DOF Strategy and benchmarks against ADNOC Group of Companies.Design, implement and maintain ADNOC’s Offshore the technical artificial intelligence strategy and data analyticsframework in order to model complex ADNOC Offshore problems and finding opportunities by solving business relatedissues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunitiesthrough the use of algorithms, statistical models and visualization techniquesKEY ACCOUNTABILITIES:Job Specific AccountabilitiesArtificial Intelligence Develop and maintain ADNOC’s Offshore artificial intelligence strategy for the core business and technical domainsrelated to exploration, development and production. Develop and maintain ADNOC’s offshore artificial intelligence guidelines document to provide general guidanceand state the minimum requirements for technical departments and projects. Work closely with discipline engineers and subject matter expertise and others in order to produce systems thatutilize artificial intelligence and capable of adapting or changing based on adding data. Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized,which can be solved or improved by implementing artificial intelligence tools. Conduct regular market surveys and be aware of different technological announcements (advancements) relatedto artificial intelligence and data science. Compare the top ranked technologies by Garner’s and others andevaluate the technology functionality related to oil & gas industry. Develop scalable tools leveraging deep learning models to solve business problems in areas such as voicerecognition, natural language processing and time series predictions. Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a productionlevel artificial intelligence application.Data Science A data scientist capable to model complex problems while realizing ADNOC’s offshore insights and identifyingopportunities through the use of algorithms, statistical models, data mining and visualization techniques. Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.Provide business metrics for the overall project to reflect improvements by periodic monitoring over multipleiterations. Conduct workshops and session to help the technical departments understand the principles and math behind theprocess to drive organizational buy-in and to build multi discipline teams that are capable to define, model andsolve problems related to their domains. Design and launch innovative and complex analytic models and lead the development of big data capabilities andutilization as well as the coordination of cross-functional analytic initiatives. Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate andmaintain predictive models Educate the organization both from IT and the business perspectives on new approaches, such as testinghypotheses and statistical validation of results. Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed usingappropriate data and appropriate analysis tools. Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmicstatistical models as a core. Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects. Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analyticstechnologies to be added to the big data platforms. Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a newteam of Data Scientists.Data Preparation Identify what data is available and relevant, including internal and external data sources, leveraging andautomating new data collection processes. Support in the application of patterns and variations in the volume, speed, variety and other characteristics ofdata supporting the data analytics initiative. Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build modelsrelated to oil and gas business.General Provide input for preparation of the Team / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver team objectives. Investigate and highlight any significant variances to support effective performance and cost control Contribute to the achievement of the approved Performance Objectives for the Team / Department in line withthe Company Performance framework. Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Supervision Plan, supervise and coordinate all activities in the assigned area to meet functional objectives. Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliverthe respective section objectives.Budgets Provide input for preparation of the Section / Department budgets and assist in the implementation of theapproved Budget and work plans to deliver Section objectives. Investigate and highlight any significant variances to support effective performance and cost controlPolicies, Systems, Processes & Procedures Implement approved Section / Department policies, processes, systems, standards and procedures in order tosupport execution of the Section’s / Department work programs in line with Company and International standards.Performance Management Contribute to the achievement of the approved Performance Objectives for the Section / Department in line withthe Company Performance framework.Innovation and Continuous Improvement Design and implement new tools and techniques to improve the quality and efficiency of operational processes. Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISOstandards in order to define intelligent solutions for issues confronting the function.Health, Safety, Environment (HSE) and Sustainability Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelinesin line with international standards, best practices and ADNOC Code of Practices.Reports Provide inputs to prepare Section MIS and progress reports for Company Management.COMMUNICATIONS & WORKING RELATIONSHIPS: Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplinessenior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutionsrequirements acquisitions strategies. Frequent communications with Procurement Divisions for solutions acquisition & MSU contracts. Regular contacts with various other divisions’ personnel to discuss/exchange information and advises on relevantAI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc. Daily interactions with other Specialists. Regular contact with IT representatives. Occasional contact with counterparts in ADNOC and other Group Companies for exchange ofinformation/knowledge, shared projects and project related experience. Regular contact with ADNOC HQ Operations Excellence, R&D and Panorama Unit.External Frequent contact with services providers, consultants, vendors etc.QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:Minimum Qualification Bachelor’s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline.Minimum Experience & Knowledge & Skills Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within theOil & Gas industry. Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN) Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras,Scikit-Learn, NumPy, SciPy, Pandas, statsmodels). Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset. Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau). Experience with data mining and visualization tools. Experience with data preparation (pre-processing, feature engineering and feature selection), model training,application classification, regression. Experience supervised and unsupervised in machine learning algorithms. Experience with data capturing, aggregation, collation and manipulation with large data sets. Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark). Analytical mind, business insight and have strong math and statistics knowledge. Excellent communication and presentation skills. Proficient in English.Professional Certifications International certifications in Project management, Process improvements & Standardisation, and/or Technologyimplementation. 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Reports to: Research Team Leader - Soils, Waters and AgronomyLocation: Abu Dhabi, UAEMain 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 ICARDAThe 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 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) 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 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 Take leadership in cloud-based Data/AI workflows using AWS, Azure, or GCP along with the necessary cyber security protocols 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 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 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 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 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 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 Strengthen institutional capacity in data science and AI through training, mentoring junior staff, embedding reproducible workflows, and promoting standardized practices across projectsRequirementsEducation, qualifications, and experienceEssential qualifications and competencies: 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 A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level is required 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 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 Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous 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) Demonstrated ability to lead data science projects and teams effectively Excellent communication and interpersonal skills are essential for engaging and collaborating with diverse stakeholders Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums is frequently required Capable of working both independently and collaboratively within a team setting Previous experience in agricultural research or related fields Knowledge of the agricultural context in the dryland regions Experience with leading ICT4D and data-centric projects Track record of publications in relevant scientific journals and web-based repositories such as GitHubDesirable skills: Strong programming skills in languages such as Python, R, and JavaScript to develop and implementAI and ML solutions.BenefitsTerms of appointment, salary, and benefitsThis 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. Show more Show less

About us:Where elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.About the Client:Join one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking, Personal Banking, and Islamic Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.Position OverviewSeeking highly skilled and motivated Senior Data Scientists to join our growing team. In these roles, you will play a critical part in designing, developing, and delivering advanced data-driven solutions that drive key business decisions, while spearheading advanced analytics and machine learning initiatives across the bank.Key Responsibilities Lead and mentor junior data scientists, providing technical guidance, code reviews, and career development support Analyze complex datasets to extract actionable insights using advanced statistical and machine learning techniques Build and optimize predictive models, recommendation systems, clustering models, and time-series forecasting solutions Collaborate with cross-functional teams including engineering, product, and business stakeholders to integrate data-driven solutions into production systems Collaborate with MLOps and Engineering teams to automate model deployment, monitoring, and retraining pipelines using tools such as MLflow, Airflow, or Kubeflow. Translate analytical results into business KPIs and measure the impact of models on key financial and operational outcomes. Explore emerging AI capabilities, including GenAI and LLM-based solutions for document analysis, knowledge retrieval, and customer interaction. Write clean, maintainable code primarily in Python and SQL for data analysis, model development, and deployment Communicate findings and model performance clearly to technical and non-technical stakeholders through reports and presentations Ensure model governance and fairness in line with banking regulatory requirements (e.g., MRM, compliance, and audit standards)RequirementsBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related fieldSenior Data Scientist: 4-5 years of hands-on experience in data science roles, with proven ability to mentor junior team membersFluency in Arabic and EnglishSkills And Expertise Strong analytical and problem-solving mindset Deep expertise in machine learning algorithms and statistical methods Practical experience with deep learning architectures and techniques Proficient in Python and SQL for data manipulation, analysis, and model development Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras Hands-on experience with predictive modeling, customer segmentation, recommendation systems, and time-series forecasting Experience with time series analysis using ARIMA, LSTM, and Prophet Familiarity with clustering techniques like k-means, and Gaussian Mixture Models Understanding of recommendation systems including collaborative filtering, content-based, hybrid models, and deep learning-based recommenders Ability to leverage machine learning algorithms like Random Forest, SVM, and XGBoost Strong communication skills to present technical concepts to both technical and non-technical audiences Ability to work collaboratively in cross-functional teams Self-driven, highly organized, and capable of handling multiple projects simultaneously Commitment to continuous learning and staying updated with advancements in data science and AIBenefitsAttractive, market-leading salary packageClear career advancement path with professional development opportunitiesOne-year contract with Xenon7, presenting a significant opportunity for renewal Show more Show less

About RevolutPeople deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 70+ million customers get more from their money every day.As we continue our lightning-fast growth,‌ 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.About The RoleOur Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation.We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide.You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction.Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch.What You’ll Be DoingBuilding AI-driven features from scratch, like personal assistants, chatbots, copilots, and moreDeveloping user-focused and backend features using deep learningDelivering impactful, scalable, data-driven AI solutionsCollaborating with Product, Engineering, and Data teams to solve deep learning challengesIntegrating cutting-edge AI technologies to drive innovation at RevolutWhat You'll NeedExperience in deep learning within natural language processing area and large language modelsA bachelor's degree in a STEM major (mathematics, computer science, engineering)Excellent knowledge of data science (Python, SQL) and production toolsA deep understanding of probability and statistics fundamentalsBig-picture thinking to correctly diagnose problems and productionise researchExcellent communication and collaboration skills to partner with Product Owners and business headsNice to haveA master's or PhD in a quantitative disciplineSolid experience with additional programming languages, such as Java, Scala, C++Experience at a large tech company worth >$15BSchool/university Olympic medal competitions in physics, maths, economics, or programmingBuilding a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.Important notice for candidates:Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles. Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment. Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice Show more Show less