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MBC GROUP

<div>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    <br/>
    Model Development &amp; Implementatio
   </strong>
   n: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks
  </li>
  <li>
   <strong>
    .AI Solution
   </strong>
   s: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions
  </li>
  <li>
   <strong>
    .Data Analysis &amp; Exploratio
   </strong>
   n: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development
  </li>
  <li>
   <strong>
    .Collaborative Problem Solvin
   </strong>
   g: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives
  </li>
  <li>
   <strong>
    .Model Optimizatio
   </strong>
   n: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration
  </li>
  <li>
   <strong>
    .Scalability &amp; Performanc
   </strong>
   e: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability
  </li>
  <li>
   <strong>
    .Stay Current with AI Trend
   </strong>
   s: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage
  </li>
  <li>
   <strong>
    .Reporting &amp; Communicatio
   </strong>
   n: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
   <br/>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   :
   <br/>
   Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related fie
  </li>
  <li>
   ld.Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analyti
  </li>
  <li>
   cs.Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholde
  </li>
  <li>
   rs.Strong proficiency in programming languages such as Python, R, or simil
  </li>
  <li>
   ar.Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluati
  </li>
  <li>
   on.Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or simil
  </li>
  <li>
   ar.Solid understanding of statistical methods, hypothesis testing, and data modeling techniqu
  </li>
  <li>
   es.Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a pl
  </li>
 </ul>
 <p>
  <br/>
 </p>
 us.
</div>


Data Scientist

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The role holder is responsible for advancing AI innovation, developing cutting-edge AI solutions, and managing data monetization opportunities. This includes building AI product repositories, contributing to AI strategy, and fostering external partnerships. The role holder shall carry out their duties in accordance with the stipulated business policies and procedures
 <br/>
 <br/>
 <strong>
  Job Responsibility
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build expertise dedicated to driving innovation and experimentation in the field of AI (e.g., review latest technological advancements, new techniques of emerging technologies that could impact AI applications and methodologies, etc.)
  </li>
  <li>
   Research, develop and deploy sophisticated, cutting-edge AI solutions AI solutions/products that offer foundational capabilities to stc KSA, stc group subsidiaries, external partners and other stakeholders (e.g., multi-agent system frameworks for deploying conversational virtual assistants) in alignment with Group Architecture &amp; Technologies Enablement GD
  </li>
  <li>
   Collaborate with business units to identify monetization opportunities for stc KSA data (and subsidiaries)
  </li>
  <li>
   Lead initiatives on using stc group&rsquo;s data resources to build partnerships with external entities
  </li>
  <li>
   Build and and maintain a repository/registry of AI and Data products that can be utilized across various teams within stc KSA, stc group subsidiaries, external partners and other stakeholders (e.g., Customer 360, Network RAN 360 etc.), perform asset management activities
  </li>
  <li>
   Provide inputs for AI &amp; Analytics strategy, ensuring alignment with the long-term AI-related goals of stc group
  </li>
  <li>
   Create publications and partnerships to position stc as an AI thought leader
  </li>
  <li>
   Establish and maintain collaborations with academia, industry leaders, and technology experts to enhance innovation in alignment with Innovation &amp; Emerging Technologies department
  </li>
  <li>
   Provide support to tribes in responding to complex, specialized AI requests, requiring innovative AI techniques
  </li>
  <li>
   Develop and continuously define AI related technology tooling required to drive efficiency and effectiveness of end-to-end AI solution/product development
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Responsibility (cont.)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement end to end MLOps and LLMOps practices to streamline the deployment, management, and scaling of AI models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Years Of Experience
  <br/>
  <br/>
 </strong>
 A minimum of 8 years of relevant experience with at least 3 - 4 years of experience in a similar role.
 <br/>
 <br/>
 <strong>
  Nature Of Experience
  <br/>
  <br/>
 </strong>
 Experience in AI development, data monetization, and partnership preferably within telecommunications or technology industry.
 <br/>
 <br/>
 <strong>
  Job Band
  <br/>
  <br/>
 </strong>
 SME
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 Bachelor Degree in Information Technology or Computer Science
 <br/>
 <br/>
 <strong>
  Additional Education
  <br/>
  <br/>
 </strong>
 <strong>
  Certifications
 </strong>
</div>


AI & Analytics Research and Innovation Principle Expert

Master Works

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
 </strong>
 <strong>
  <strong>
   2. Solution Implementation
  </strong>
 </strong>
 <strong>
  <strong>
   3. Technical Project Support
  </strong>
 </strong>
 <strong>
  <strong>
   4. Documentation &amp; Reporting
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Data Analysis &amp; Modeling
  </li>
  <li>
   Collect, clean, transform, and analyze data from different sources.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to identify trends and patterns.
  </li>
  <li>
   Design, develop, and validate machine learning and AI models.
  </li>
  <li>
   Select appropriate algorithms and techniques for each use case.
  </li>
  <li>
   Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
  </li>
  <li>
   Optimize and fine-tune models to enhance performance.
  </li>
  <li>
   Deploy machine learning models into production environments.
  </li>
  <li>
   Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
  </li>
  <li>
   Build scalable data pipelines for processing large datasets.
  </li>
  <li>
   Monitor and update deployed models to ensure continuous performance.
  </li>
  <li>
   Provide expert consultation on AI solutions and model design.
  </li>
  <li>
   Identify required data sources and support the data acquisition process.
  </li>
  <li>
   Participate in technical discussions with clients and internal teams.
  </li>
  <li>
   Support User Acceptance Testing (UAT) from a technical perspective.
  </li>
  <li>
   Document modeling processes, methodologies, and analytical results.
  </li>
  <li>
   Prepare technical reports and present findings clearly to technical and non-technical audiences.
  </li>
  <li>
   Maintain proper documentation for model design and deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  Language Requirement:
 </strong>
 Fluent Arabic (mandatory)
 <br/>
 <br/>
 <strong>
  Experience Level:
 </strong>
 5+ years in Data Science / AI / Machine Learning
 <br/>
 <br/>
 <strong>
  Sector:
 </strong>
 AI projects, digital transformation, advanced analytics
 <br/>
 <br/>
 <strong>
  Education:
 </strong>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field
 <br/>
 <br/>
 <strong>
  Preferred Certifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Machine Learning / Deep Learning
  </li>
  <li>
   Data Science Certifications
  </li>
  <li>
   AI &amp; ML specializations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep knowledge of machine learning, deep learning, and data science methodologies.
  </li>
  <li>
   Strong proficiency in:
  </li>
  <ul>
   <li>
    Python (essential)
   </li>
  </ul>
  <li>
   Experience with ML and data libraries:
  </li>
  <ul>
   <li>
    TensorFlow or PyTorch
   </li>
   <li>
    Scikit-learn
   </li>
   <li>
    Pandas, NumPy
   </li>
  </ul>
  <li>
   Hands-on experience with visualization tools:
  </li>
  <ul>
   <li>
    Power BI, Tableau
   </li>
  </ul>
  <li>
   Understanding of MLOps concepts and data engineering fundamentals.
  </li>
  <li>
   Experience working with large datasets and implementing data mining techniques.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in Saudi Arabia (public or private sector).
  </li>
  <li>
   Experience in AI projects involving vision, NLP, or sensor data.
  </li>
  <li>
   Familiarity with end-to-end AI development lifecycle
  </li>
 </ul>
</div>


Expert Data Scientist (Arabic Speaker) - Immediate Joining

MASTER-WORKS

<div><h3 class="jobSectionHeader"><b>Role Summary</b></h3><p>
The Expert Data Scientist is responsible for developing advanced AI and machine learning models, performing complex data analysis, designing end-to-end AI solutions, and supporting technical teams in delivering data-driven initiatives. The role requires strong technical expertise, analytical depth, and the ability to translate data into impactful solutions.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><h3 class="jobSectionHeader"><b>
1. Data Analysis &amp; Modeling</b></h3><ul>
<li>Collect, clean, transform, and analyze data from different sources.
</li><li>Perform exploratory data analysis (EDA) to identify trends and patterns.
</li><li>Design, develop, and validate machine learning and AI models.
</li><li>Select appropriate algorithms and techniques for each use case.
</li><li>Evaluate model performance using industry-standard metrics (Accuracy, Precision, Recall, F1, AUC).
</li><li>Optimize and fine-tune models to enhance performance.
</li></ul><h3 class="jobSectionHeader"><b>2. Solution Implementation</b></h3><ul>
<li>Deploy machine learning models into production environments.
</li><li>Collaborate with Data Engineers and MLOps engineers on pipelines and deployment workflows.
</li><li>Build scalable data pipelines for processing large datasets.
</li><li>Monitor and update deployed models to ensure continuous performance.
</li></ul><h3 class="jobSectionHeader"><b>3. Technical Project Support</b></h3><ul>
<li>Provide expert consultation on AI solutions and model design.
</li><li>Identify required data sources and support the data acquisition process.
</li><li>Participate in technical discussions with clients and internal teams.
</li><li>Support User Acceptance Testing (UAT) from a technical perspective.
</li></ul><h3 class="jobSectionHeader"><b>4. Documentation &amp; Reporting</b></h3><ul>
<li>Document modeling processes, methodologies, and analytical results.
</li><li>Prepare technical reports and present findings clearly to technical and non-technical audiences.
</li><li>Maintain proper documentation for model design and deployment.
</li></ul><p></p><p><b>Requirements</b></p><p><b>
Language Requirement:</b> Fluent Arabic (mandatory)<br>
<b>Experience Level:</b> 5+ years in Data Science / AI / Machine Learning<br>
<b>Sector:</b> AI projects, digital transformation, advanced analytics<br>
<b>Education:</b> Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field</p><p><br>
<b>Preferred Certifications:</b></p><ul>
<li>
Machine Learning / Deep Learning
</li><li>Data Science Certifications
</li><li>AI &amp; ML specializations
</li></ul><p></p><p><b>Required Skills &amp; Expertise</b></p><ul>
<li>
Deep knowledge of machine learning, deep learning, and data science methodologies.
</li><li>Strong proficiency in:
</li><li><ul><li><b>Python</b> (essential)
</li></ul></li><li>Experience with ML and data libraries:
</li><li><ul><li>TensorFlow or PyTorch
</li><li>Scikit-learn
</li><li>Pandas, NumPy
</li></ul></li><li>Hands-on experience with visualization tools:
</li><li><ul><li>Power BI, Tableau
</li></ul></li><li>Understanding of MLOps concepts and data engineering fundamentals.
</li><li>Experience working with large datasets and implementing data mining techniques.
</li></ul><p></p><h3 class="jobSectionHeader"><b>Preferred Experience</b></h3><ul>
<li>Previous experience in Saudi Arabia (public or private sector).
</li><li>Experience in AI projects involving vision, NLP, or sensor data.
</li><li>Familiarity with end-to-end AI development lifecycle.</li></ul></div>

Astek Middle East

<div>
 <p>
  We are looking for a highly skilled
  <strong>
   Data Scientist
  </strong>
  to join our team in Riyadh. The ideal candidate will possess strong expertise in
  <strong>
   Python, SQL, and data visualization tools such as Power BI
  </strong>
  . You will play a key role in developing and deploying
  <strong>
   AI/ML solutions
  </strong>
  to automate processes, build predictive models, and uncover actionable business insights.
 </p>
 <p>
  Experience within the
  <strong>
   healthcare sector
  </strong>
  is highly preferred, as the role involves working with complex, high-impact datasets to support evidence-based decision-making.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Develop, test, and deploy predictive and machine learning models.
  </li>
  <li>
   Automate workflows and processes using AI/ML tools and algorithms.
  </li>
  <li>
   Collect, clean, and analyze large and complex datasets from various sources.
  </li>
  <li>
   Design and build dashboards and reports using tools like
   <strong>
    Power BI
   </strong>
   .
  </li>
  <li>
   Collaborate with cross-functional teams to translate business needs into data solutions.
  </li>
  <li>
   Present insights and recommendations to stakeholders in a clear and actionable manner.
  </li>
 </ul>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Strong proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    SQL
   </strong>
   , and data visualization tools (Power BI).
  </li>
  <li>
   Solid hands-on experience with machine learning frameworks and algorithms.
  </li>
  <li>
   Experience in data preprocessing, feature engineering, and model evaluation.
  </li>
  <li>
   Background in the
   <strong>
    healthcare domain
   </strong>
   is a strong advantage.
  </li>
  <li>
   Excellent analytical thinking and problem-solving abilities.
  </li>
  <li>
   Ability to work with complex datasets and derive meaningful insights.
  </li>
  <li>
   Strong communication and presentation skills.
  </li>
 </ul>
</div>


dentsu

<div>
 The purpose of this role is to implement and execute SEO initiatives, in line with the agreed strategy, to maintain, develop and exceed client performance targets.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 A Senior SEO/GEO Specialist drives end-to-end organic visibility across search engines and generative AI platforms by leading advanced keyword strategy, technical optimization, content direction, and LLM-based visibility improvements. The role involves conducting deep competitive and intent analysis, improving site architecture and E-E-A-T signals, managing GEO initiatives such as LLM persona testing, answer optimization, and prompt-based visibility enhancements, while partnering with cross-functional teams to align on business objectives. This specialist monitors performance across traditional SEO and emerging generative channels, translates insights into actionable roadmaps, and ensures consistent brand presence and recommendation across search, AI assistants, and multimodal platforms.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive end-to-end organic visibility across search engines and generative AI platforms.
  </li>
  <li>
   Lead advanced keyword strategy and intent-based analysis.
  </li>
  <li>
   Conduct technical SEO audits and implement site architecture improvements.
  </li>
  <li>
   Optimize content strategy, including E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.
  </li>
  <li>
   Manage GEO (Generative Engine Optimization) initiatives
  </li>
  <li>
   Monitor performance across traditional SEO and emerging generative AI channels.
  </li>
  <li>
   Translate performance insights into actionable roadmaps and strategies.
  </li>
  <li>
   Collaborate with cross-functional teams to align SEO/GEO initiatives with business objectives.
  </li>
  <li>
   Ensure consistent brand presence and recommendation across search engines, AI search engines, and multimodal platforms.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4&ndash;7 years of hands-on experience in SEO, with exposure to Generative Engine Optimization (GEO) or AI-driven search visibility.
  </li>
  <li>
   Strong expertise in keyword research, intent modeling, competitive analysis, and content optimization.
  </li>
  <li>
   Solid technical SEO knowledge, including crawling, indexing, site architecture, structured data, Core Web Vitals, and technical audits.
  </li>
  <li>
   Familiarity with generative AI platforms and concepts such as LLM persona testing, prompt optimization, and generative answer ranking.
  </li>
  <li>
   Proficiency with SEO tools such as Google Search Console, GA4, Screaming Frog, Ahrefs, SEMrush, and basic BI dashboards.
  </li>
  <li>
   Ability to analyze complex datasets and translate insights into clear, actionable SEO/GEO strategies.
  </li>
  <li>
   Strong understanding of E-E-A-T principles and how they influence organic visibility across both traditional and AI-driven search environments.
  </li>
  <li>
   Experience collaborating with product, content, engineering, data, UX, or media teams to deliver integrated organic growth initiatives.
  </li>
  <li>
   Excellent communication skills with the ability to simplify technical concepts for non-technical stakeholders.
  </li>
  <li>
   Curious, adaptable, and proactive, with a passion for emerging search behaviours, AI interfaces, and multimodal discovery.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Location:
  <br/>
  <br/>
 </strong>
 Riyadh
 <br/>
 <br/>
 <strong>
  Brand:
  <br/>
  <br/>
 </strong>
 Merkle
 <br/>
 <br/>
 <strong>
  Time Type:
  <br/>
  <br/>
 </strong>
 Full time
 <br/>
 <br/>
 <strong>
  Contract Type:
  <br/>
  <br/>
 </strong>
 Permanent
</div>


Senior SEO Executive

Dentsu

<div>The purpose of this role is to implement and execute SEO initiatives, in line with the agreed strategy, to maintain, develop and exceed client performance targets.<div></div><div>
Job Description:</div><div>
About the Role</div><div></div><div>
A Senior SEO/GEO Specialist drives end-to-end organic visibility across search engines and generative AI platforms by leading advanced keyword strategy, technical optimization, content direction, and LLM-based visibility improvements. The role involves conducting deep competitive and intent analysis, improving site architecture and E-E-A-T signals, managing GEO initiatives such as LLM persona testing, answer optimization, and prompt-based visibility enhancements, while partnering with cross-functional teams to align on business objectives. This specialist monitors performance across traditional SEO and emerging generative channels, translates insights into actionable roadmaps, and ensures consistent brand presence and recommendation across search, AI assistants, and multimodal platforms.</div><div></div><div>
Job Description</div><div><div><div><div><ul><li><div>
Drive end-to-end organic visibility across search engines and generative AI platforms.</div></li><li><div>
Lead advanced keyword strategy and intent-based analysis.</div></li><li><div>
Conduct technical SEO audits and implement site architecture improvements.</div></li><li><div>
Optimize content strategy, including E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals.</div></li><li><div>
Manage GEO (Generative Engine Optimization) initiatives</div></li><li><div>
Monitor performance across traditional SEO and emerging generative AI channels.</div></li><li><div>
Translate performance insights into actionable roadmaps and strategies.</div></li><li><div>
Collaborate with cross-functional teams to align SEO/GEO initiatives with business objectives.</div></li><li><div>
Ensure consistent brand presence and recommendation across search engines, AI search engines, and multimodal platforms.</div></li></ul></div></div></div></div><div></div><div>
Requirements</div><ul><li><div>
4&ndash;7 years of hands-on experience in SEO, with exposure to Generative Engine Optimization (GEO) or AI-driven search visibility.</div></li><li><div>
Strong expertise in keyword research, intent modeling, competitive analysis, and content optimization.</div></li><li><div>
Solid technical SEO knowledge, including crawling, indexing, site architecture, structured data, Core Web Vitals, and technical audits.</div></li><li><div>
Familiarity with generative AI platforms and concepts such as LLM persona testing, prompt optimization, and generative answer ranking.</div></li><li><div>
Proficiency with SEO tools such as Google Search Console, GA4, Screaming Frog, Ahrefs, SEMrush, and basic BI dashboards.</div></li><li><div>
Ability to analyze complex datasets and translate insights into clear, actionable SEO/GEO strategies.</div></li><li><div>
Strong understanding of E-E-A-T principles and how they influence organic visibility across both traditional and AI-driven search environments.</div></li><li><div>
Experience collaborating with product, content, engineering, data, UX, or media teams to deliver integrated organic growth initiatives.</div></li><li><div>
Excellent communication skills with the ability to simplify technical concepts for non-technical stakeholders.</div></li><li><div>
Curious, adaptable, and proactive, with a passion for emerging search behaviours, AI interfaces, and multimodal discovery.</div></li></ul><div></div><div>
Location:</div>
Riyadh<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Explore 434+ Ai specialist in Riyadh this December. Find roles across top companies and apply now to boost your career.

434 ai specialist jobs IN Riyadh

Data Scientist

AI & Analytics Research and Innovation Principle Expert

Expert Data Scientist (Arabic Speaker) - Immediate Joining

Expert Data Scientist (Arabic Speaker) - Immediate Joining

Data Scientist

Senior SEO Executive

Senior SEO Executive