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expert data scientist

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

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>

TMC Middle East

<div>
 <p>
  TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a highly capable expert to join our client for this prestigious assignment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  Position: Senior AI &amp; Data Scientist
 </p>
 <p>
  Location: Onsite &ndash; Riyadh, Saudi Arabia
 </p>
 <p>
  Experience: 10+ Years
 </p>
 <p>
  Department: Data &amp; AI Department
 </p>
 <p>
  <br/>
 </p>
 <p>
  TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 </p>
 <p>
  libraries (Pandas, NumPy).
 </p>
 <p>
  - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 </p>
 <p>
  Internal Only
 </p>
 <p>
  optimization).
 </p>
 <p>
  - Familiarity with containerized deployments (OpenShift, Docker).
 </p>
 <p>
  - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 </p>
 <p>
  - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 </p>
 <p>
  deployments.
 </p>
 <p>
  - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 </p>
 <p>
  - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 </p>
 <p>
  Consulting &amp; Behavioral Skills
 </p>
 <p>
  - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 </p>
 <p>
  outputs to diverse audiences.
 </p>
 <p>
  - Professional, composed, and business-aware consulting demeanor.
 </p>
 <p>
  - Strong collaboration and documentation discipline within Agile teams.
 </p>
 <p>
  - Demonstrated curiosity and commitment to continuous learning and innovation.
 </p>
 <p>
  - Self-driven, structured, and dependable under PMO governance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  - Master&rsquo;s degree in computer science, Data Science, or related field.
 </p>
 <p>
  - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 </p>
 <p>
  - Prior experience in enterprise or industrial AI projects preferred.
 </p>
 <p>
  - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 </p>
</div>


Data Scientist

RED Global

<div>
 <p>
  Urgent Opportunity- Data Scientist - Contract Opportunity- On-site - 6 months + extension- Full-time- Riyadh, Saudi Arabia
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our international IT Consulting client is looking for Data Scientist as below.
 </p>
 <p>
  Urgent opportunity with Competitive Rates &amp; Immediate Interviews!
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Job Title: Data Scientist
  </li>
  <li>
   Engagement: Full time
  </li>
  <li>
   Location: On-site in Riyadh, Saudi Arabia
  </li>
  <li>
   Languages: Fluent in English
  </li>
  <li>
   Start date: ASAP
  </li>
  <li>
   Contract: 6 months + extension
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills required:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Python- Pytorch
  </li>
  <li>
   LLMs- LLM deployments, LLM Optimizations- LLM finetuning
  </li>
  <li>
   DevOps
  </li>
  <li>
   ML Ops
  </li>
  <li>
   LangChain- AI Agents
  </li>
  <li>
   Excellent problem solving
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Let's connect for more details, please apply on the job post or send me your most updated CV on jdabaas@redglobal.com
 </p>
</div>


Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead initiatives to develop and implement strategies for fraud detection and AML.
  </li>
  <li>
   Interact heavily with SME as well as Enterprise clients.
  </li>
  <li>
   Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
  </li>
  <li>
   Plan, research and experiment customized project-based solutions.
  </li>
  <li>
   Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
  </li>
  <li>
   Plan and execute towards the training of ML models then deploying them.
  </li>
  <li>
   Help shape the roadmap for the development of our fraud and AML solutions.
  </li>
  <li>
   Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
  </li>
  <li>
   At least 5 years experience in leading advanced data science projects.
  </li>
  <li>
   A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
  </li>
  <li>
   Strong communication skills to collect insights from clients, share and present findings.
  </li>
  <li>
   Proficient in handling and analysing large datasets using SQL and Python.
  </li>
  <li>
   Hands-on experience in data extraction, visualisation, analysis, and transformation.
  </li>
  <li>
   Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
  </li>
  <li>
   Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
  </li>
  <li>
   Ability to create and manage complex multi-stage data pipelines.
  </li>
  <li>
   Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
  </li>
  <li>
   Proficiency in English language is required and preferably in Arabic languages.
  </li>
  <li>
   Excellent verbal and written communication skills.
  </li>
  <li>
   Excellent problem-solving skills, attention to detail, and adaptability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
  </li>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
  </li>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
  </li>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
  </li>
 </ul>
</div>


Senior Data Scientist

Capgemini

<div><div><div><p>RIYADH</p><div>
Data Scientist</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</p><p><b>
Key responsibilities of this role:</b></p><ul><li>
Collect, clean, and preprocess structured and unstructured data from various sources.</li><li>
Develop and implement statistical models, machine learning algorithms, and data mining techniques.</li><li>
Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>
Translate business problems into analytical solutions and communicate findings effectively.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Create visualizations and dashboards to present insights to stakeholders.</li><li>
Continuously monitor model performance and update models as needed.</li><li>
Document methodologies, experiments, and results for reproducibility and knowledge sharing.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</li><li>
Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>
Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</li><li>
Strong understanding of statistical analysis, predictive modeling, and data wrangling.</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</li><li>
Excellent problem-solving and communication skills.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284565-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

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>


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