data scientist

senior quantity surveyor

senior interior designer

engineering supervisor

senior architect

senior scientist

International Center for Biosaline Agriculture

<div><div><p>The International Center for Biosaline Agriculture(ICBA) is an international, non-profit agricultural research center established in 1999 through the visionary leadership of the Islamic Development Bank (IsDB), the Organization of the Petroleum Exporting Countries (OPEC) Fund, the Arab Fund for Economic and Social Development (AFESD), and the Government of the United Arab Emirates (UAE). ICBA is a unique applied agricultural research center in the world that is focused on marginal areas where an estimated 1.7 billion people live. It identifies, tests and introduces resource-efficient, climate-smart crops and technologies that are best suited to different regions affected by salinity, water scarcity and drought. Through its work, ICBA helps to improve food security and livelihoods for some of the poorest rural communities around the world. ICBA is an equal opportunity employer and appoints qualified staff regardless of race, creed, color, age, gender, religion or national origin. We demonstrate our commitment to each member of our team through a competitive benefits package designed to assist our employees to cover their needs and the needs of their immediate family members.</p></div>
<div><div>Job Summary</div>
<div><p>To lead the development and implementation of innovative soil management strategies that enhance the productivity, resilience, and sustainability of salt-affected and arid lands. The role integrates advanced approaches to support ICBA&rsquo;s mission in biosaline agriculture, focusing on soil health, land suitability, and sustainable crop-soil-water interactions. The Senior Scientist will generate impactful research, develop strategic partnerships, and build regional capacity to address soil-related challenges in arid and saline environments.</p></div>
</div><div><div>Job Responsibilities</div>
<div><ul><li>Secure external funding through proposal development and strategic donor engagement and national priorities, ensuring alignment with ICBA&rsquo;s research priorities and regional impact goals.</li><li>
Evaluate land suitability for agricultural production and identify soil degradation risks associated with salinization, groundwater depletion, land-use change, and climate variability, in collaboration with water and crop scientists.</li><li>
Lead the development of innovative soil management systems tailored to saline and degraded environments, enhancing soil fertility and soil health to support sustainable biosaline agriculture.</li><li>
Design and implement soil amendment, restoration solutions, and Integrated Soil Fertility Management (ISFM) to improve physical, chemical, and biological soil properties under saline and arid conditions.</li><li>
Conduct and oversee soil classification and mapping using advanced techniques, supporting land evaluation and soil suitability analyses for climate-resilient, salt-tolerant crops, and halophytes.</li><li>
Assess and optimize soil-water-plant interactions, with emphasis on nutrient cycling, salinity dynamics, and water-use efficiency in salt-affected and arid soils.</li><li>
Utilize GIS, remote sensing, and spatial analysis tools for soil and land use mapping, contributing to regional land degradation assessments and climate-resilient land use planning.</li><li>
Develop and manage interdisciplinary R&amp;D projects aligned with ICBA&rsquo;s strategic focus areas, including soil reclamation, biosaline agriculture, and climate-smart land management.</li><li>
Disseminate research outcomes through high-impact scientific publications and technical reports, contributing to global knowledge on sustainable soil use in saline and arid environments.</li><li>
Build and sustain partnerships with national, regional, and international research institutions, fostering knowledge exchange and collaborative innovation in soil and land resource management.</li><li>
Design and deliver capacity development initiatives, including training, workshops, and field-based demonstrations for scientists, extension agents, and decision-makers in soil health and biosaline agriculture.</li><li>
Mentor researchers, technicians, and field teams, ensuring the application of rigorous field protocols and laboratory procedures in soil science.</li><li>
Manage the soil and water laboratory at ICBA to comply with international accreditation.</li></ul></div>
</div><div><div>Qualifications and Experience</div>
<div><p><b><i>Essential</i></b></p><ul><li>
PhD in soil sciences, soil health, and soil fertility management, or related fields.</li><li>
At least 10 years of post-PhD experience in soil management research; preferably with regional or international research experience.</li><li>
Sound knowledge of methods and approaches for spatial analysis and assessment, as well as associated tools (GIS, remote sensing, statistics).</li><li>
Strong publication record in peer-reviewed journals.</li><li>
Experience working in Soil Laboratory Analysis.</li><li>
Proven success in obtaining research grant funding from international donors and effective project management.</li><li>
Proven capacity to manage multidisciplinary and international research teams and projects.</li><li>
Effective communication skills, with an emphasis on presenting and disseminating research information.</li><li>
Fluency in written and spoken English.</li><li>
Knowledge of Arabic and/or French<i> is (Desirable)</i>.</li></ul></div></div></div><p></p>
<br><div><div><div>Post Date</div>
<div>5 February 2026</div>
</div><div><div>Status</div>
<div>Open</div>
</div><div><div>Vacancy Type</div>
<div>Full-time</div>
</div><div><div>Closing Date</div>
<div>22 February 2026</div>
</div><div><div>Location</div>
<div>Dubai, UAE</div>
</div><div><div>Report To</div>
<div>Program Leader - SNRM</div>
</div><div><div>Job Number</div>
<div>ICBA-DP-2025-002</div></div></div>

Senior Scientist – Soil Management

International Center for Biosaline Agriculture (ICBA)

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  To lead the development and implementation of innovative soil management strategies that enhance the productivity, resilience, and sustainability of salt-affected and arid lands. The role integrates advanced approaches to support ICBA&rsquo;s mission in biosaline agriculture, focusing on soil health, land suitability, and sustainable crop-soil-water interactions. The Senior Scientist will generate impactful research, develop strategic partnerships, and build regional capacity to address soil-related challenges in arid and saline environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Secure external funding through proposal development and strategic donor engagement and national priorities, ensuring alignment with ICBA&rsquo;s research priorities and regional impact goals
  </li>
  <li>
   Evaluate land suitability for agricultural production and identify soil degradation risks associated with salinization, groundwater depletion, land-use change, and climate variability, in collaboration with water and crop scientists
  </li>
  <li>
   Lead the development of innovative soil management systems tailored to saline and degraded environments, enhancing soil fertility and soil health to support sustainable biosaline agriculture
  </li>
  <li>
   Design and implement soil amendment, restoration solutions, and Integrated Soil Fertility Management (ISFM) to improve physical, chemical, and biological soil properties under saline and arid conditions
  </li>
  <li>
   Conduct and oversee soil classification and mapping using advanced techniques, supporting land evaluation and soil suitability analyses for climate-resilient, salt-tolerant crops, and halophytes
  </li>
  <li>
   Assess and optimize soil-water-plant interactions, with emphasis on nutrient cycling, salinity dynamics, and water-use efficiency in salt-affected and arid soils
  </li>
  <li>
   Utilize GIS, remote sensing, and spatial analysis tools for soil and land use mapping, contributing to regional land degradation assessments and climate-resilient land use planning
  </li>
  <li>
   Develop and manage interdisciplinary R&amp;D projects aligned with ICBA&rsquo;s strategic focus areas, including soil reclamation, biosaline agriculture, and climate-smart land management
  </li>
  <li>
   Disseminate research outcomes through high-impact scientific publications and technical reports, contributing to global knowledge on sustainable soil use in saline and arid environments
  </li>
  <li>
   Build and sustain partnerships with national, regional, and international research institutions, fostering knowledge exchange and collaborative innovation in soil and land resource management
  </li>
  <li>
   Design and deliver capacity development initiatives, including training, workshops, and field-based demonstrations for scientists, extension agents, and decision-makers in soil health and biosaline agriculture
  </li>
  <li>
   Mentor researchers, technicians, and field teams, ensuring the application of rigorous field protocols and laboratory procedures in soil science
  </li>
  <li>
   Manage the soil and water laboratory at ICBA to comply with international accreditation
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Essential
   </em>
  </strong>
 </p>
 <ul>
  <li>
   PhD in soil sciences, soil health, and soil fertility management, or related field
  </li>
  <li>
   At least 10 years of post-PhD experience in soil management research; preferably with regional or international research experience
  </li>
  <li>
   Sound knowledge of methods and approaches for spatial analysis and assessment, as well as associated tools (GIS, remote sensing, statistics)
  </li>
  <li>
   Strong publication record in peer-reviewed journals
  </li>
  <li>
   Experience working in Soil Laboratory Analysis
  </li>
  <li>
   Proven success in obtaining research grant funding from international donors and effective project management
  </li>
  <li>
   Proven capacity to manage multidisciplinary and international research teams and projects
  </li>
  <li>
   Effective communication skills, with an emphasis on presenting and disseminating research information
  </li>
  <li>
   Fluency in written and spoken English
  </li>
  <li>
   Knowledge of Arabic and/or Fren
   <em>
    ch (Desirabl
   </em>
   e)
  </li>
 </ul>
 <p>
 </p>
</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.
<br><br>
<b>Job Summary:</b><br>
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.
<br><br>
<b>Responsibilities:</b><br>
Machine Learning & NLP Development
<br><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
<br><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
<br><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
<br><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
<br><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>
<b>Requirements:</b><br>
<b>Qualifications:</b><br>
<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
<br><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
<br><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>
<b>Benefits:</b><br>
Benefits & Work Setup
<br><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

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Careem Data Science team&rsquo;s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision-making, operational efficiencies, and lead the region&rsquo;s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region, while innovating on our user experience using GenAI.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Be part of a 0-1 AI transformation for the Careem app from a personalization perspective.
  </li>
  <li>
   Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision-making.
  </li>
  <li>
   Drive exploratory analysis to understand the ecosystem, user behaviour, and identify new levers to help move metrics and build models of user behaviours for analysis and product enhancements.
  </li>
  <li>
   Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
  </li>
  <li>
   Provide product leadership by sharing data-based recommendations to communicate the state of the business, the root cause of change in metrics, and experimentation results, influencing product and business decisions
  </li>
  <li>
   Implement scalable machine learning algorithms that will be used in production on big data.
  </li>
  <li>
   Embark on exploratory data analysis projects to achieve a better understanding of phenomena as well as to discover untapped areas of growth and optimization.
  </li>
  <li>
   Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
  </li>
  <li>
   Help define and track the appropriate key metrics for specific projects.
  </li>
  <li>
   Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
  </li>
  <li>
   You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
  </li>
  <li>
   Build and deploy retrieval augmented generation systems and other applications of large language models.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   6 - 8 years of experience in data mining, predictive modelling, time series analysis, machine learning, Big Data methodologies, and transformation and cleaning of both structured and unstructured data.
  </li>
  <li>
   Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
  </li>
  <li>
   Solid experience with Deep Learning Techniques (e.g, attention, retrieval models, etc)
  </li>
  <li>
   1-2 years of industrial experience in personalization, recommendation or search is a MUST. Preferably working in a product-driven company.
  </li>
  <li>
   Strong problem-solving and coding skills.
  </li>
  <li>
   Solid knowledge of AB testing, classic ML, and DL
  </li>
  <li>
   Solid understanding of recommendations, ranking, and retrieval.
  </li>
  <li>
   Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
  </li>
  <li>
   Demonstrated experience with database technologies (e.g. , Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
  </li>
  <li>
   Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skill, is a plus.
  </li>
 </ul>
</div>


Senior Data Scientist II

Envision Employment Solutions is currently hiring a Lead Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
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.
<br><br>
The ideal candidate has extensive experience building and scaling enterprise AI ecosystems and leading multidisciplinary teams across complex environments.
<br><br>
<b>Responsibilities:</b><br>
Strategic AI Leadership
<br><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)
<br><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
<br><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
<br><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>
<b>Requirements:</b><br>
<b>Qualifications:</b><br>
<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
<br><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>
<b>Benefits:</b><br>
Benefits & Work Setup
<br><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

Smyrooms, a brand of Grupo Viajes El Corte Inglés

<div>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data is part of our DNA, our phylosophy is data, driven solutions. Currently we are searching a
  <strong>
   Data Scientist
  </strong>
  , specialized in Travel Sector for our headoffices in Dubai (United Arab Emirates).
 </p>
 <p>
  <br/>
 </p>
 <p>
  Salary range for this role: AED 160,000 - 180,000 AED per annum.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Job characteristics:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Requirements:
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   If you are interested on this possition, do not hesitate to apply. You will feel at home.
  </em>
 </p>
</div>


Data Scientist

Fuse Energy

<div>
 We are currently seeking a quantitative researcher with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a quant researcher, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.
 <br/>
 <br/>
 Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Develop and implement models for our energy supply business using Python and other data science tools
  </li>
  <li>
   Identify, analyze, and mitigate credit risk
  </li>
  <li>
   Conduct data analysis and modeling to support risk management decisions
  </li>
  <li>
   Stay current with industry developments and regulations related to credit risk management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a quantitative researcher or data scientist
  </li>
  <li>
   Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy
  </li>
  <li>
   Strong statistical and modeling skills
  </li>
  <li>
   Strong communication and collaboration skills
  </li>
  <li>
   Experience in the energy industry is a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary and a stock options sign-on bonus
  </li>
  <li>
   Biannual bonus scheme
  </li>
  <li>
   Fully expensed tech to match your needs!
  </li>
  <li>
   28 days paid annual leave per year including public holiday
  </li>
 </ul>
</div>


Quantitative Researcher

Explore 770+ Senior scientist in Dubai this February. Find roles across top companies and apply now to boost your career.

770 senior scientist jobs In Dubai

Senior Scientist – Soil Management

Senior Scientist – Soil Management

Senior Data Scientist

Senior Data Scientist II

Lead Data Scientist

Data Scientist

Quantitative Researcher