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data scientist

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>

Data Scientist

DICETEK LLC

<div>As the Data Scientist within the Data &amp; 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:<ul><li>Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
</li><li>Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline
</li></ul>specifications.
<ul><li>Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
</li><li>Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
</li><li>Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
</li><li>Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies. 
</li></ul> 
Skills:
Bachelor&rsquo;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.
<ul><li>Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
</li><li>Advanced proficiency in programming languages in SAS Base, EMiner,
</li><li>Advanced Hands-on Programming experience in Python.
</li><li>Hands on Experience of working on Dataiku Platform for production is required
</li><li>Azure Databricks and AWS knowledge is a plus
</li><li>Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
</li><li>Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
</li><li>Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
</li><li>SAS, Dataiku certifications would be added advantage.</li></ul></div>

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>A World leader in air cargo. We possess a geographical advantage that enables us to reach over 140 destinations across 6 continents. We are able to cater to two-thirds of the world&rsquo;s population in just 8 hours and serve major international trade regions quickly and efficiently. Our SkyCargo group works in partnership to facilitate global trade and connect customers with their destinations. We have a young, efficient, wide-bodied fleet, with ample capacity to transport cargo through our state-of-the-art, multi-airport hub in Dubai and adapt to our customers ever-changing needs.
In the role of Data Scientist you will 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></ul><ul><li>Develop dimensions of the DS project such as data analysis, visualisation 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:
Qualifications: MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
Experience: 5+ years experience in Information Systems.
Knowledge &amp; Skills:
<ul><li>Hands-on experience in Data Science ecosystem.
</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>

SilentEight

<div>At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We&rsquo;re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place! 
 
 
As a Data Scientist, you will own the end-to-end development of data solutions &mdash; from understanding business problems to deploying and maintaining models in production. You&rsquo;ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques.<h4 class="jobSectionHeader">
Responsibilities</h4><ul><li>
Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off.</li><li>
Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions.</li><li>
Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production.</li><li>
Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments.</li><li>
Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance.</li><li>
Analyze large-scale structured and unstructured datasets to extract insights and power model development.</li><li>
Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection.</li><li>
Create and maintain internal data science tooling to streamline experimentation, testing, and delivery.</li><li>
Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment.</li><li>
Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.</li></ul><h4 class="jobSectionHeader">
Requirements</h4><ul><li> 
Based in the United Arab Emirates (remote-first team; flexible working environment).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.</li><li>
Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments.</li><li>
Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).</li><li>
Skilled in graph analysis, machine learning, and unstructured data workflows.</li><li>
Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability.</li><li>
Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant.</li><li>
Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).</li><li>
Strong communication skills&mdash;translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.</li><li>
Mindset of ownership: you&rsquo;re excited to see projects through, from first prototype to deployed, customer-facing solution.</li></ul><h4 class="jobSectionHeader">
We offer:</h4><ul><li>
Full time employment</li><li>
Employee benefits</li><li>
Work-life balance: flexible working hours, remote work forever</li><li>
Career growth: Promotion and great development opportunities within the organization</li></ul></div>

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
 
Job Summary: 
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
Responsibilities: 
Machine Learning & NLP Development
 <ul>
<li>Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li>
<li>Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li>
<li>Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li>
<li>Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li>
<li>Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks</li>
<li>Evaluate and optimize prompt engineering strategies and context efficiency</li>
</ul>
Data Engineering & Pipelines
 <ul>
<li>Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li>
<li>Perform data wrangling and preprocessing using pandas and NumPy</li>
<li>Design and manage feature stores</li>
<li>Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li>
</ul>
Model Deployment & Production
 <ul>
<li>Build and maintain RESTful APIs for serving ML models in production</li>
<li>Deploy scalable AI services and manage CI/CD pipelines</li>
<li>Monitor model performance, drift detection, and lifecycle management</li>
<li>Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li>
</ul>
Statistical & Analytical Expertise
 <ul>
<li>Apply advanced statistics, probability theory, and experimental design</li>
<li>Conduct hypothesis testing and data-driven analysis to support business decisions</li>
</ul>
Collaboration & Integration
 <ul>
<li>Work closely with product and engineering teams to embed AI solutions into production systems</li>
<li>Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li>
</ul>
Requirements: 
Qualifications: 
<ul>
<li>Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li>
<li>Minimum 4 years of experience in machine learning and data science roles</li>
<li>Proven track record of delivering production-grade ML and NLP projects</li>
<li>Experience leading small data science teams or technical workstreams</li>
</ul>
Technical Requirements
 <ul>
<li>Strong programming skills in Python and R</li>
<li>Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li>
<li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li>
<li>Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li>
<li>Strong expertise in transformer architectures and LLM fine-tuning</li>
<li>Experience using LangChain or LlamaIndex for orchestration</li>
<li>Experience deploying ML models via RESTful APIs</li>
<li>Knowledge of model monitoring, explainability, and performance optimization</li>
</ul>
Leadership and Soft Skills
 <ul>
<li>Ability to lead small teams or project workstreams</li>
<li>Strong ownership mindset with focus on quality and delivery timelines</li>
<li>Ensures alignment of technical work with business KPIs</li>
<li>Coaches and mentors mid-level team members</li>
<li>Strong problem-solving and collaboration skills</li>
</ul>
Benefits: 
Benefits & Work Setup
 <ul>
<li>Basic salary</li>
<li>Family Medical Insurance</li>
<li>Round-trip family flight tickets once per year</li>
<li>Visa coverage</li>
<li>Location: Dubai</li>
<li>Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.</li>
<li>Working Hours: 9 AM to 6 PM</li>
<li>Days Off: Saturdays and Sundays</li>
</ul>

Senior Data Scientist

Emirates

<div>
 
 Job Purpose
 
 
 
 A World leader in air cargo. We possess a geographical advantage that enables us to reach over 140 destinations across 6 continents. We are able to cater to two-thirds of the world&rsquo;s population in just 8 hours and serve major international trade regions quickly and efficiently. Our SkyCargo group works in partnership to facilitate global trade and connect customers with their destinations. We have a young, efficient, wide-bodied fleet, with ample capacity to transport cargo through our state-of-the-art, multi-airport hub in Dubai and adapt to our customers ever-changing needs.
 
 
 In the role of
 
 Data Scientist
 
 you will 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, visualisation 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:
 
 
 
 
 Qualifications:
 
 MSc in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 
 
 
 Experience:
 
 5+ years experience in Information Systems.
 
 
 
 Knowledge &amp; Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in Data Science ecosystem.
 </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>

Data Scientist (Emiratisation)

Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
 
Job Summary: 
We are seeking a visionary AI leader to drive enterprise-scale AI strategy, architecture, and delivery. This role requires deep expertise in large language models (LLMs), AI governance, and production-grade ML platforms, combined with strong leadership and executive communication capabilities.
 
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
 
Responsibilities: 
Strategic AI Leadership
 <ul>
<li>Define and drive AI roadmaps aligned with corporate strategy</li>
<li>Oversee the full model lifecycle from research and experimentation to production deployment</li>
<li>Ensure measurable ROI and business impact from AI initiatives</li>
</ul>
LLM & NLP Architecture (Enterprise Level)
 <ul>
<li>Design LLM ecosystems including RAG pipelines, orchestration layers, and fine-tuning strategies</li>
<li>Lead domain-specific model fine-tuning and pretraining using proprietary datasets</li>
<li>Integrate platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI</li>
<li>Define governance, compliance, and security frameworks for LLM deployments</li>
<li>Establish evaluation standards for hallucination rate, factual accuracy, bias, and toxicity</li>
</ul>
Infrastructure & Governance
 <ul>
<li>Own data governance policies and feature store strategy</li>
<li>Lead model observability, monitoring, and drift management frameworks</li>
<li>Partner with DevOps and Security to ensure scalability, resilience, and compliance</li>
</ul>
Team & Stakeholder Leadership
 <ul>
<li>Build and lead multidisciplinary AI teams including Data Scientists, ML Engineers, and Data Engineers</li>
<li>Mentor senior scientists and define research best practices</li>
<li>Communicate directly with executive leadership and non-technical stakeholders</li>
<li>Evaluate AI vendors and technology partnerships</li>
</ul>
Requirements: 
Qualifications: 
<ul>
<li>Master’s or PhD in AI, Machine Learning, Computer Engineering, or Applied Math or a related field</li>
<li>Minimum 7 years of overall professional experience</li>
<li>At least 2+ years in AI/ML leadership roles</li>
<li>Proven ability to build and scale enterprise-level AI/LLM platforms.</li>
</ul>
Leadership Competencies
 <ul>
<li>Visionary mindset driving innovation across business units.</li>
<li>Excellent executive communication and influence skills.</li>
<li>Focused on measurable ROI, scalability, and ethical AI.</li>
<li>Mentors senior scientists, defining best practices and research direction.</li>
</ul>
Benefits: 
Benefits & Work Setup
 <ul>
<li>Basic salary</li>
<li>Family Medical Insurance</li>
<li>Round-trip family flight tickets once per year</li>
<li>Visa coverage</li>
<li>Location: Dubai</li>
<li>Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.</li>
<li>Working Hours: 9 AM to 6 PM</li>
<li>Days Off: Saturdays and Sundays</li>
</ul>

Lead Data Scientist

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2424 data scientist jobs In Uae

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Senior Data Scientist

Data Scientist (Emiratisation)

Lead Data Scientist