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Core42

<div>
 
 Data Scientist, Core42, Abu Dhabi &ndash; UAE
 
 
 
 
 About Us
 
 
 
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 
 
 
 The opportunity
 
 
 
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
 </li>
 <li>
 Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
 </li>
 <li>
 Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
 </li>
 <li>
 Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
 </li>
 <li>
 Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
 </li>
 <li>
 Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
 </li>
 <li>
 Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
 </li>
 <li>
 Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
 </li>
 <li>
 Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Required skills / qualifications
 </li>
 <li>
 Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
 </li>
 <li>
 Minimum 10 years of general technological experience.
 </li>
 <li>
 At least 5 years of specific experience working as a data scientist within cloud environments.
 </li>
 <li>
 Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
 </li>
 <li>
 Mastery of data science, analytics, and advanced modeling techniques.
 </li>
 <li>
 Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
 </li>
 <li>
 Experience deploying AI/ML workloads in cloud or HPC environments.
 </li>
 <li>
 Solid understanding of cybersecurity best practices and secure data handling principles.
 </li>
 <li>
 Proven leadership skills, with experience managing or mentoring technical teams.
 </li>
 <li>
 Preferred skills / qualifications
 </li>
 <li>
 Experience building and deploying generative AI solutions at scale.
 </li>
 <li>
 Strong strategic planning and execution capabilities within complex technical environments.
 </li>
 <li>
 Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
 </li>
 <li>
 Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
 </li>
 <li>
 Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
 </li>
 </ul>
</div>

Data Scientist

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

Hays

<div>
 
 We are searching for an impactful Data Scientist to join the high-profile Advanced Analytics Centre of Excellence (CoE) at one of the Middle East's leading financial institutions. This initiative is central to the bank's strategy, tasked with delivering AED multi-million business impact and fostering a data-driven culture across the organization.
 
 
 This role is for a technical leader ready to take ownership of the entire Machine Learning lifecycle.
 
 
 
 
 
 The Opportunity:
 
 <ul>
 <li>
 High Visibility: The CoE is governed at the ExCo level, ensuring strategic importance and ringfenced resources.
 </li>
 <li>
 Direct Impact: Design and deploy ML models that directly support high-value use cases, collaborating within cross-functional AA squads.
 </li>
 <li>
 Mentorship: Play a key role in guiding and mentoring junior colleagues, contributing to the growth of the CoE's technical capabilities.
 </li>
 </ul>
 
 
 
 
 Required Profile:
 
 <ul>
 <li>
 Experience: 6-8 years of validated experience in a Data Science role.
 </li>
 <li>
 Education: An Advanced Degree (MS/Ph.D.) in a quantitative discipline (Statistics, Math, Computer Applications, Economics) is highly desirable.
 </li>
 <li>
 Core Skills: Expertise in R or Python, Machine Learning, Statistics, and Optimization.
 </li>
 <li>
 Big Data: Essential experience with large data sets and distributed computing tools (e.g., Spark, Hadoop, Hive).
 </li>
 <li>
 Soft Skills: Proven ability to work in agile environments, compelling communication skills, and excellent stakeholder management.
 </li>
 </ul>
</div>

Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 
 Smyrooms is part of Viajes El Corte Ingl&eacute;s Group, one of the biggest conglomerate of Spain offering hotels in over 120 countries for our clients.
 
 
 
 
 
 Our company was founded with the aim of supplying the many brands of the group as well as all of our customers with our travel inventory at competitive prices.
 
 
 
 
 
 We are one of the youngest brands in the group, and tha makes us dynamic, energetic and technologically savvy. We are not just a beddank.
 
 
 
 
 
 Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
 
 Data Scientist
 
 , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 
 
 
 
 
 Salary range for this role: AED 160,000 - 180,000 AED per annum.
 
 
 
 
 
 
 
 Job characteristics:
 
 
 
 
 
 
 <ul>
 <li>
 Support the Pricing and Distribution area to optimize the revenue and product segmentation, to stay as competitive (and reachable) as possible in a multi-connected environment.
 </li>
 <li>
 Responsible for analyzing commercial data to identify trends, patterns and opportunities for business growth.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business objectives, identify opportunities and implement solutions to optimize commercial operations.
 </li>
 <li>
 Strong communicator with strong analytical abilities, capable of translating complex data into actionable insights and effectively communicating high-level business updates as well as granular data analysis.
 </li>
 <li>
 Developing growth strategies and providing strategic insights to drive business success.
 </li>
 <li>
 Provide the Leadership team with recurring and ad-hoc data analysis and comprehensive reporting, as well as generate momentum, global ownership and overall support to speed up the team&rsquo;s action plan.
 </li>
 <li>
 Support and manage the enhancement of business processes and proactively identify opportunities to increase customer success.
 </li>
 <li>
 Provide support to key commercial functions through rigorous and deep analysis that facilitates understanding root causes &amp; actions to be taken. Identify best practices, share and reapply across the organization.
 </li>
 <li>
 Follow up on the opportunities and tasks generated by or towards the commercial teams.
 </li>
 <li>
 Develop presentations with conceptual and/or quantitative analysis that facilitate top management decision making.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Strong Analytical, numerical, communication and presentation skills to be able to interpret, summarize and present complex data sets from multiple sources in a simple and comprehensive way.
 </li>
 <li>
 Effectively manage communication at senior level.
 </li>
 <li>
 Be able to report KPIs and performance metrics in a structured manner as well as develop analytical models to facilitate decision making.
 </li>
 <li>
 Detail oriented and organized, with the ability to manage multiple projects simultaneously.
 </li>
 <li>
 Strong interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
 </li>
 <li>
 Experience working in a fast-paced dynamic environment with challenging deadlines and competing priorities.
 </li>
 <li>
 Methodical and organized mindset with the ability to think critically and develop innovative solutions to business challenges.
 </li>
 <li>
 Visual/Analytical aid tools (Tableau, Looker Studio, Excel and PowerPoint knowledge).
 </li>
 <li>
 Database management skills through the use of programming languages (SQL/Python).
 </li>
 <li>
 Proactive and autonomous approach to working with critical thinking, collaboration &amp; creativity.
 </li>
 <li>
 Languages: English (Spanish as a enabler).
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, economics, data analytics or a related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you are interested on this possition, do not hesitate to apply. You will feel at home.
 
 
</div>

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
In this role, you will:
<ul><li>Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
</li><li>Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
</li><li>Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
</li><li>Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
</li><li>Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
</li><li>Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
</li></ul>Knowledge &amp; Skills:
<ul><li>2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
</li><li>Hands-on experience in Data Science ecosystem.
</li><li>Hands-on experience in Gen AI, LLMs and Agentic AI
</li><li>Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li><li>Hands-on experience with SQL, R, Python.
</li><li>Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li><li>Hands-on experience building libraries and packages to be re-used by others.
</li><li>Hands-on experience building DS Solutions for production usage.
</li><li>Team player with a problem solving attitude.
</li><li>Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Emirates

<div>
 
 Job Purpose
 
 
 
 At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets. The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.
 
 
 The purpose of the Data Scientist is to undertake Data Science (DS) projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio with a focus on timely delivery and ownership of results.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Deliver analytics projects, applying appropriate statistical and machine learning techniques to produce key insights and actionable takeaways, and presenting findings and recommendations to the stakeholders.
 </li>
 <li>
 Develop dimensions of the DS project such as data analysis, visualization and development of tools, models and documentation. Analyse business metrics and KPIs to understand trends, identify issues, and opportunities for optimisation.
 </li>
 <li>
 Address day-to-day technical issues, ensuring high quality of deliveries are achieved.
 </li>
 <li>
 Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
 </li>
 <li>
 Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact.
 </li>
 <li>
 Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems through active involvement in the in the development of our analytics tools for A/B testing, segmentation, funnel analysis, and other analytics needs.
 </li>
 <li>
 Support sprint/work design and planning projects to bridge the gap between research and analytics by providing data-driven solutions across the required areas.
 
 
 </li>
 </ul>
 Qualification
 
 
 
 To be considered for this role, you must meet the below requirements:
 
 
 
 <ul>
 <li>
 Qualifications: Completed MSc/PhD (12+5 or equivalent) Degree in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li>
 <li>
 Experience: 2-4+ years of experience in the Analytics ecosystem and hands on the following: data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.)
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 2-4+ years of hands-on experience in the Analytics ecosystem and hands-on experience in the following:
 </li>
 <li>
 Hands-on experience in Data Science ecosystem.
 </li>
 <li>
 Hands-on experience in Gen AI, LLMs and Agentic AI
 </li>
 <li>
 Hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
 </li>
 <li>
 Hands-on experience with SQL, R, Python.
 </li>
 <li>
 Hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
 </li>
 <li>
 Hands-on experience building libraries and packages to be re-used by others.
 </li>
 <li>
 Hands-on experience building DS Solutions for production usage.
 </li>
 <li>
 Team player with a problem solving attitude.
 </li>
 <li>
 Experience of delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
 </li>
 <li>
 Able to challenge and review the quality and value generated from analytical output.
 
 
 </li>
 </ul>
 At Emirates, we're committed to providing our employees with opportunities to grow and develop in their careers. So if you're looking for a challenging and rewarding opportunity, apply today and join our team!
 
 
 Salary &amp; benefits
 
 
 Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers
</div>

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 Principal Data Scientist &ndash; Cyber Security | Dubai
 
 
 
 
 
 We&rsquo;re partnered with a leading Cyber Security organisation in Dubai to hire a
 
 Principal Data Scientist
 
 . This role is ideal for a seasoned data science professional &mdash; someone with 10+ years&rsquo; experience applying machine learning to complex, high-impact problems &mdash; and a deep technical interest in cyber defence.
 
 
 
 
 
 You&rsquo;ll play a hands-on role in designing, building, and deploying ML architectures that power next-generation threat detection and predictive security systems. Working at the intersection of
 
 AI, data, and cyber security
 
 , you&rsquo;ll drive innovation while remaining deeply involved in technical delivery.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Architect, develop, and deploy advanced ML models for anomaly detection, intrusion prevention, and predictive defence.
 </li>
 <li>
 Collaborate with cyber research and engineering teams to embed AI capabilities into real-world security products.
 </li>
 <li>
 Lead the design of scalable data and ML pipelines capable of handling high-volume, adversarial data.
 </li>
 <li>
 Evaluate emerging technologies and research to continuously evolve the organisation&rsquo;s ML stack.
 </li>
 <li>
 Mentor and guide data scientists and ML engineers, setting technical direction and best practices.
 </li>
 </ul>
 
 
 
 
 Requirements
 
 <ul>
 <li>
 
 10+ years of experience
 
 in data science, machine learning, or applied AI, with a focus on hands-on technical work.
 </li>
 <li>
 Strong background in
 
 cyber security
 
 , ideally with experience in malware analysis, SOC operations, or threat intelligence.
 </li>
 <li>
 Proven record of building
 
 production-grade ML systems
 
 and data architectures.
 </li>
 <li>
 Advanced proficiency in
 
 Python
 
 ,
 
 TensorFlow/PyTorch
 
 , and distributed data technologies (Spark, Kubernetes, etc.).
 </li>
 <li>
 Deep understanding of modern ML methodologies, from feature engineering to model deployment and monitoring.
 </li>
 <li>
 Strong communicator and problem-solver, able to operate both strategically and technically.
 </li>
 </ul>
 <li>
 </li>
 
 
</div>

Principal Data Scientist

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