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Hays

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Financial Services
 
 
 
 
 Dubai, United Arab Emirates
 
 
 
 
 Permanent position
 
 
 
 
 
 
 We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 
 
 
 
 
 This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 
 
 
 
 
 
 Asset class
 
 
 
 Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 
 
 
 
 
 
 Experience needed
 
 
 <ul>
 <li>
 Python expertise
 </li>
 <li>
 ML proficiency
 </li>
 <li>
 Develop and maintain quantitative models for asset allocation
 </li>
 <li>
 Design and deploy LLM‑powered tools
 </li>
 <li>
 Familiarity with portfolio construction frameworks and allocation strategies
 </li>
 <li>
 Deep understanding of quantitative finance and financial datasets
 </li>
 <li>
 Implement AI models for quant research and investment workflows
 </li>
 <li>
 Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 PhD in Com Sci or relevant STEM
 </li>
 </ul>
 
 
 
 
 Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 
 
 
 
 
 **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 
</div>

Senior Data Scientist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 
 
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Quantum One

<div>
 
 About Us
 
 
 Quantum One is a leading AI solutions provider in the UAE. Our firm was founded by professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across multiple sectors, including energy, utilities, logistics, and industrial enterprises.
 
 
 We are looking for a highly skilled and motivated
 
 Senior Data Scientist (LLM &amp; Agentic Systems)
 
 to join our Abu Dhabi team. This role offers the opportunity to design and deploy production-grade GenAI and agentic systems for mission-critical projects with the UAE&rsquo;s largest organizations. Relocation assistance is available.
 
 
 Our Offer &amp; Your Growth
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and a clear career progression path with opportunities for rapid advancement into Lead, Principal, or AI Architect roles.
 
 
 You will work on high-impact enterprise AI systems, contribute to reusable internal frameworks, and help shape the next generation of agentic AI capabilities within the organization.
 
 
 Core Responsibilities
 
 
 As a Senior Data Scientist (LLM &amp; Agentic Systems), you will be instrumental in the execution and delivery of advanced AI systems across the following areas:
 
 
 
 Strategic Implementation:
 
 Design and implement Large Language Model&ndash;based solutions that solve complex business and operational challenges for major UAE organizations.
 
 
 
 Agentic System Development:
 
 Architect and build multi-step LLM agents integrating reasoning, planning, memory, and tool usage. Develop Retrieval-Augmented Generation (RAG) pipelines that combine unstructured and structured enterprise data.
 
 
 
 Enterprise Product Development:
 
 Design, develop, and deploy production-grade AI copilots and autonomous agents from concept through to scalable production environments.
 
 
 
 Technical Excellence:
 
 Ensure robustness, scalability, observability, and governance of deployed LLM systems, following enterprise-grade engineering standards.
 
 
 
 Collaboration &amp; Leadership:
 
 Work closely with Data Engineers, DevOps, and client stakeholders. Contribute to architectural decisions and mentor mid-level team members.
 
 
 Required Qualifications
 
 
 We are seeking a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 Experience:
 
 Minimum 5 years of professional experience in Data Science or Applied Machine Learning, with at least 2 years of hands-on experience building and deploying LLM-based systems.
 
 
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with international teams and enterprise clients.
 
 
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack:
 
 
 
 
 
 Python (advanced level)
 
 
 Git and CI/CD workflows
 
 
 Docker and Kubernetes
 
 
 Postgres or similar RDBMS / NoSQL databases
 
 
 Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
 
 
 Machine Learning &amp; LLM Expertise
 
 
 Co
 
 re Data Science Stack:
 
 
 
 
 
 
 Pandas, NumPy, scikit-learn
 
 
 Experience with gradient boosting frameworks (CatBoost, LightGBM)
 
 
 Model interpretation tools (e.g., SHAP)
 
 
 Data visualization (Matplotlib, Seaborn)
 
 
 
 Large Language Models &amp; Agentic Systems (Mandatory):
 
 
 
 
 
 
 Practical experience with Retrieval-Augmented Generation (RAG)
 
 
 Embedding pipelines and vector databases
 
 
 Agent orchestration frameworks (LangChain, LlamaIndex, or equivalent)
 
 
 Tool/function-calling architectures
 
 
 Structured output handling (JSON schemas, validation layers)
 
 
 Evaluation and monitoring of LLM systems
 
 
 Mod
 
 els &amp; Ecosystems:
 
 
 
 
 
 
 
 O
 
 penAI / Azure OpenAI
 
 
 Hugging Face ecosystem
 
 
 Open-source models such as Llama, Qwen, or Mistral
 
</div>

Senior Data Scientist (LLM)

ADGM

Maseera&rsquo;s AI and Big Data Center of Excellence covers the range of Data and AI skills, from Strategy, Governance, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Maseera&rsquo;s broader Strategy and professional practice, we are bringing together the unique ability to drive end-to-end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways.If you&rsquo;re looking for a challenging career while working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be based in Abu Dhabi, and you&rsquo;ll be working with cutting-edge technologies, and you will have the opportunity to develop a wide range of new skills on the job.In our team you will:<ul><li>Be at the forefront of the Fintech industry, and you&rsquo;ll create, own and make it a reality for our subsidiaries looking to better serve their customers.</li><li>Become an integral part of our Data and AI team with the credibility, expertise and dependable insights.</li><li>Develop your skills with our world class training programmes.</li><li>Drive and implement real world solutions into production that drive business value across our company.</li><li>Work alongside global teams to collaborate and deliver the best solutions for our customers.</li><li>Drive your career progression via our structured career development programs.</li></ul>In this role you will:<ul><li>Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics.</li><li>Understand business requirements and support the development of business cases.</li><li>Run discovery analytics to identify new and innovative opportunities.</li><li>Partner with developers and engineers to deploy machine learning algorithms to deliver business value.</li><li>Define approaches to embed and scale machine learning models.</li><li>Build reusable assets and solutions and develop best practices for current and future business problems.</li><li>Communicate and provide guidance to senior leadership and teams.</li><li>Contribute data science expertise to new enterprise activities.</li><li>Shape DS Strategy and the delivery of DS solutions.</li><li>Operate across Headquarter and multiple subsidiaries.</li><li>Develop others by bringing your unique knowledge and skill sets to the wider practice.</li></ul>We are looking for:<ul><li>B.Sc./Master/PhD in computer science, data science, AI or relevant field</li><li>8-10 years of work experience in data science, machine learning, and business analytics</li><li>Practical experience in coding languages e.g. Python, R, Scala, etc.; (Python preferred)</li><li>Proficiency in database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc.</li><li>Experienced working with structured and also unstructured data e.g. Text, PDFs, jpgs, call recordings, video, etc.</li><li>Knowledge of machine learning modelling techniques and how to fine-tune those models e.g. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc.</li><li>Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, hugging face, etc.</li><li>Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge.</li><li>Experience of using Cloud technologies e.g. AWS, GCP or Azure.</li><li>Specialised visualisation techniques e.g. D3.js, ggplot etc.</li><li>Strong verbal/written communication &amp; data presentation skills</li><li>Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning and staying updated with the latest advancements in the field</li></ul>Set yourself apart:<ul><li>Willingness and ability to learn quickly and apply creative thinking to finding great solutions and drive their implementation</li><li>Ability to successfully build relationships with customers and stakeholders</li><li>Mastery of problem solving and solutioning</li><li>Proven history and background in Fintech Industry</li></ul>Job Type: Full-timePay: AED35,000.00 per monthExperience:<ul><li>Financial Institues: 3 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Required)</li></ul>Work Location: In person

ALDAR

<div>
 
 Job Purpose
 
 
 
 As a Senior Associate &ndash; Data Scientist, you will design, build, and productionize advanced analytics and AI solutions that drive measurable business value. You will work closely with Data Product Owners, Data Analysts, BI Developers, and Data Quality Specialists to translate complex business challenges into data-driven models and experiments. Leveraging Python, SQL, and modern ML frameworks, you will develop scalable machine learning solutions that are explainable, governed, and aligned with organizational priorities.
 
 
 
 Roles And Responsibilities
 
 
 
 Translate business problems into data science projects by defining clear hypotheses, success metrics, and validation methods.
 
 
 Explore, clean, and transform structured and unstructured data using Python and SQL to prepare high-quality datasets for modeling.
 
 
 Design, train, and evaluate machine learning models using appropriate algorithms and statistical techniques (e.g., regression, classification, clustering, NLP, forecasting).
 
 
 Collaborate with engineering and platform teams to productionize AI models through reproducible pipelines and CI/CD workflows.
 
 
 Apply model explainability, fairness, and interpretability techniques (e.g., SHAP, LIME, feature importance) to ensure transparency and accountability.
 
 
 Support AI governance activities, including Model Risk Management (MRM) processes, ensuring compliance and responsible use of AI.
 
 
 Conduct and analyze A/B tests or controlled experiments to assess model and feature performance.
 
 
 Work with Data Product Owners to define business outcomes, monitor model performance post-deployment, and ensure continued relevance.
 
 
 Collaborate with Data Quality Specialists to ensure input data meets quality, lineage, and governance standards.
 
 
 Communicate results effectively through visualizations, storytelling, and presentations tailored to technical and non-technical audiences.
 
 
 
 Related Years Of Experience
 
 
 
 5+ years of experience in data science, applied machine learning, or advanced analytics.
 
 
 Proven experience delivering models that have been deployed and integrated into business processes or digital products.
 
 
 Experience working in agile, cross-functional teams with Product Owners, Data Analysts, and Data Engineers.
 
 
 
 Technical And Interpersonal Skills
 
 
 
 Advanced proficiency in Python (pandas, NumPy, scikit-learn, XGBoost, LightGBM).
 
 
 Strong command of SQL for data extraction, transformation, and validation.
 
 
 Experience working in Databricks or equivalent data and ML platforms.
 
 
 Familiarity with deep learning frameworks (PyTorch, TensorFlow) and ML lifecycle tools (MLflow, Airflow, Docker, Kubernetes).
 
 
 Understanding of model explainability, ethics, fairness, and governance.
 
 
 Knowledge of AI governance processes and documentation standards, including Model Risk Management (MRM).
 
 
 Exposure to cloud platforms (Azure, Snowflake) and APIs for integrating AI models into applications.
 
 
 Familiarity with version control (Git/GitHub) and collaborative coding practices.
 
 
 Excellent communication skills to explain technical findings in clear business terms.
 
 
 Collaborative and curious, with a passion for continuous learning and innovation
 
 
 
 QUALIFICATION
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
 
 
 Master&rsquo;s degree or higher in Data Science, Machine Learning, or Applied Statistics is an advantage.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior Associate – Data Scientist

<div>
 
 We&rsquo;re looking for an exceptional early‑career Data Scientist with a strong academic background and outstanding Python capability to work on real, high‑impact machine‑learning problems in a data‑rich, fast‑moving environment.
 
 
 
 
 
 This role is ideal for a top master&rsquo;s graduate who enjoys moving from theory to practice &mdash; building models, experimenting with data, and turning rigorous analysis into tools that influence real decisions.
 
 
 
 
 
 What You&rsquo;ll Do:
 
 <ul>
 <li>
 Build and experiment with machine‑learning models across forecasting, classification, clustering, optimisation, and anomaly detection
 </li>
 <li>
 Work hands‑on with large, real‑world datasets: feature engineering, hypothesis testing, and model evaluation
 </li>
 <li>
 Design and test ML pipelines using techniques such as LSTM, SVM, K‑means, regression, tree‑based and ensemble models
 </li>
 <li>
 Develop clean, production‑ready Python tooling for modelling, back testing, and performance monitoring
 </li>
 <li>
 Collaborate with engineers to move models from research into reliable, deployed workflows
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Master&rsquo;s degree from a leading university (Machine Learning, AI, Data Science, Statistics, or Computer Science)
 </li>
 <li>
 Strong foundations in machine learning, statistics, and time‑series data
 </li>
 <li>
 Excellent Python skills with evidence of real ML or analytical projects
 </li>
 <li>
 Comfortable balancing academic rigour with speed and pragmatism
 </li>
 <li>
 Curious, analytical, and excited to solve messy, real‑world problems
 </li>
 </ul>
</div>

Data Scientist

Almosafer

<div>
 
 
 About the Company:
 
 
 
 At Almosafer Travel &amp; Tourism Co,
 
 
 we&rsquo;re not just part of the travel industry, we&rsquo;re helping shape its future.
 
 
 As Saudi Arabia&rsquo;s leading travel company, we serve millions across every segment of the travel and tourism ecosystem.
 
 
 Rooted in our name &ldquo;Almosafer,&rdquo; meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region.
 
 
 
 
 
 We&rsquo;re united by a bold vision:
 
 
 To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
 
 
 Our team across Saudi Arabia and the wider region blends deep cultural understanding with forward-thinking innovation, shaping a new standard for travel in the region.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a Senior Data Analyst to join Almosafer&rsquo;s Data Intelligence team, embedded within the Marketing and CRM function, to power acquisition and retention strategies with data. You will partner closely with digital marketing (brand and performance), CRM, and loyalty teams to optimize spend, increase retention, and maximize customer lifetime value, while ensuring analytics follow Data Intelligence standards and governance. The ideal candidate will have 5+ years of analytical experience in e-commerce or travel, strong expertise in digital marketing and CRM analytics, and hands-on experience with BI tools for delivering insights at scale. Knowledge of machine learning and rule-based models is a strong advantage.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Acquisition &amp; Digital Marketing Analytics:
 
 
 <ul>
 <li>
 Act as the primary data partner for digital marketing channels (paid search, paid social, display, programmatic) and organic channels (SEO, referral, content).
 </li>
 <li>
 Build and maintain attribution models to evaluate channel effectiveness and optimize spend.
 </li>
 <li>
 Develop targeting strategies and audience segments for prospecting and retargeting campaigns.
 </li>
 </ul>
 
 
 CRM &amp; Retention Analytics:
 
 
 <ul>
 <li>
 Analyze customer behavior, repeat booking patterns, churn risk, and loyalty program engagement.
 </li>
 <li>
 Build retention and churn prediction models to improve CRM targeting.
 </li>
 <li>
 Measure and optimize CRM campaigns (email, push, in-app, SMS) for engagement and conversion.
 </li>
 <li>
 Partner with CRM managers to design and analyze A/B tests for lifecycle marketing.
 </li>
 </ul>
 
 
 Advanced Modelling &amp; Data Solutions:
 
 
 <ul>
 <li>
 Design and deploy ML and rule-based models for bid optimization, lifetime value prediction, and personalized offers.
 </li>
 <li>
 Ensure marketing and CRM datasets are high-quality and aligned with DI governance.
 </li>
 <li>
 Work with Marketing Automation teams to integrate model outputs into execution tools (Moengage, Salesforce Marketing Cloud, etc.).
 </li>
 </ul>
 
 
 BI Reporting &amp; Data Storytelling:
 
 
 <ul>
 <li>
 Build self-service dashboards in Tableau, Power BI, Looker, or similar to monitor acquisition, retention, and ROI metrics.
 </li>
 <li>
 Translate data into clear, actionable insights for marketing and CRM leadership.
 </li>
 <li>
 Monitor and report on KPIs such as CAC, ROAS, CLV, retention rates, and campaign ROI.
 </li>
 </ul>
 
 
 Collaboration &amp; Governance:
 
 
 <ul>
 <li>
 Act as a bridge between Marketing/CRM and the central Data Intelligence function, ensuring consistent definitions and methodologies.
 </li>
 <li>
 Share analytical best practices with other embedded analysts across functions.
 </li>
 <li>
 Promote data literacy within marketing and CRM teams.
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in STEM, Business Analytics, or related field.
 </li>
 <li>
 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses.
 </li>
 <li>
 Proficiency in SQL, Python or R, and advanced Excel.
 </li>
 <li>
 Strong experience in digital marketing analytics platforms (Google Analytics, Google Ads, Facebook Ads Manager, DV360) and CRM analytics.
 </li>
 <li>
 Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling.
 </li>
 <li>
 Strong knowledge of customer lifecycle metrics (CAC, CLV, churn rate, retention cohorts).
 </li>
 <li>
 Excellent stakeholder management and communication skills; English fluency (Arabic preferred).
 </li>
 <li>
 Experience building and deploying machine learning models for acquisition and retention.
 </li>
 <li>
 Knowledge of rule-based targeting and marketing automation tools (Moengage, Salesforce Marketing Cloud, Adobe Campaign).
 </li>
 <li>
 Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake).
 </li>
 </ul>
 
 
 
 
 
 Being you @ Almosafer:
 
 
 
 At Almosafer, our teams work with purpose, clarity, and a shared commitment to doing things the right way. Whether you're building platforms, supporting travelers, or shaping strategy, your work connects to something bigger. Across functions and locations, we value accountability, trust, and collaboration - and we create the structure and space for you to contribute meaningfully from day one.
 
 
 
 
 
 Here, you will find:
 
 
 A purpose-led workplace where your ideas can create real impact
 
 
 Ongoing learning and development to help you grow with intention
 
 
 Recognition that celebrates your wins, both big and small
 
 
 A community built on trust, curiosity, and shared momentum
 
 
 
 
 
 No matter where your journey started, at Almosafer, you will find space to grow, connect, and contribute meaningfully.
 
</div>

Senior Specialist - Data Intelligence

Explore 1696+ Senior data scientist in United Arab Emirates this May. Find roles across top companies and apply now to boost your career.

1696 senior data scientist jobs In United Arab Emirates

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (LLM)

Senior Data Scientist

Senior Associate – Data Scientist

Data Scientist

Senior Specialist - Data Intelligence