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TMC Middle East

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

Data Scientist

TAWANTECH

<div>
 
 
 Job Overview:
 
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Analyze large, complex structured and unstructured datasets to derive actionable insights.
 </li>
 <li>
 Develop, validate, and deploy statistical and machine learning models.
 </li>
 <li>
 Use SQL, Python, or R to manipulate data and draw insights from large datasets.
 </li>
 <li>
 Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
 </li>
 <li>
 Implement parameter reduction techniques such as feature selection and PCA to optimize models.
 </li>
 <li>
 Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
 </li>
 <li>
 Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
 </li>
 <li>
 Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
 </li>
 <li>
 Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
 </li>
 <li>
 Collaborate with cross-functional teams including product, engineering, and business stakeholders.
 </li>
 <li>
 Ensure accuracy, consistency, and quality in data deliverables.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Required Qualifications:
 
 
 
 
 <ul>
 <li>
 3+ years of experience as a Data Scientist, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in SQL and Python or R.
 </li>
 <li>
 Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
 </li>
 <li>
 Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
 </li>
 <li>
 Experience with parameter reduction techniques (e.g., PCA, feature selection).
 </li>
 <li>
 Proven experience working with APIs, large datasets, and both structured/unstructured data.
 </li>
 <li>
 Experience using Dataiku (DSS) for building data pipelines and deploying models.
 </li>
 <li>
 Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
 </li>
 <li>
 Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
 </li>
 <li>
 Experience in the financial services or investment domain is a plus
 </li>
 </ul>
</div>

<div><h3 class="jobSectionHeader">Job Overview:</h3>
We are seeking an experienced Data Scientist to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul>
<li>Analyze large, complex structured and unstructured datasets to derive actionable insights.
</li><li>Develop, validate, and deploy statistical and machine learning models.
</li><li>Use SQL, Python, or R to manipulate data and draw insights from large datasets.
</li><li>Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
</li><li>Implement parameter reduction techniques such as feature selection and PCA to optimize models.
</li><li>Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
</li><li>Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
</li><li>Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
</li><li>Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
</li><li>Collaborate with cross-functional teams including product, engineering, and business stakeholders.
</li><li>Ensure accuracy, consistency, and quality in data deliverables.
</li></ul>Requirements<h3 class="jobSectionHeader">
Required Qualifications:</h3><ul>
<li>3+ years of experience as a Data Scientist, Data Analyst, or similar role.
</li><li>Strong proficiency in SQL and Python or R.
</li><li>Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
</li><li>Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
</li><li>Experience with parameter reduction techniques (e.g., PCA, feature selection).
</li><li>Proven experience working with APIs, large datasets, and both structured/unstructured data.
</li><li>Experience using Dataiku (DSS) for building data pipelines and deploying models.
</li><li>Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
</li><li>Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
</li><li>Experience in the financial services or investment domain is a plus.</li></ul></div>

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise 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.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
 </li>
 <li>
 Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <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>

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>10/16/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>1-3 years
</div></div><div>Industry
<div>Technology
</div></div><div>City
<div>Riyadh
</div></div><div>State/Province
<div>Riyadh
</div></div><div>Country
<div>Saudi Arabia
</div></div><div>Zip/Postal Code
<div>11564
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div>We are seeking a motivated Saudi National Data Scientist with 2&ndash;3 years of experience in data analysis, statistical modeling, and predictive analytics. The ideal candidate will assist in transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role is ideal for candidates passionate about data, analytical problem-solving, and leveraging statistical techniques to derive business value. 
Key Responsibilities:<ul><li> 
Collect, clean, and pre process data from multiple sources to ensure accuracy and consistency.</li><li> 
Assist in building predictive models, statistical analyses, and machine learning solutions.</li><li> 
Support the development of dashboards and reports using Power BI, Tableau, or similar tools.</li><li> 
Collaborate with business teams to understand requirements and translate them into data-driven solutions.</li><li> 
Analyze trends, patterns, and anomalies to provide actionable business insights.</li><li> 
Participate in feature engineering, data transformation, and model evaluation.</li><li> 
Document methodologies, models, and analytical processes.</li><li> 
Ensure compliance with data security, governance, and quality standards.</li><li> 
Stay updated with emerging data science tools, techniques, and best practices.</li><li> 
Assist in presenting findings to stakeholders in a clear and concise manner.</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Skills Required:<ul><li> 
2&ndash;3 years of experience in data analysis or data science.</li><li> 
Proficiency in Python, R, or similar programming languages for data analysis.</li><li> 
Strong knowledge of statistics, machine learning, and predictive modeling.</li><li> 
Experience with SQL and data querying.</li><li> 
Familiarity with Power BI, Tableau, or other visualization tools.</li><li> 
Understanding of data preprocessing, feature engineering, and model evaluation.</li><li> 
Strong analytical, problem-solving, and critical-thinking skills.</li><li> 
Excellent attention to detail and data accuracy.</li><li> 
Good communication and teamwork skills.</li><li> 
Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, or a related field.</li></ul></div></div></div>

Data Scientist (Saudi National)

Robusta Studio

<div>
 
 About Octopus By RTG
 
 
 
 Octopus by RTG is the tech hiring and outsourcing arm of
 
 Robusta Technology Group
 
 , dedicated to connecting exceptional tech talent with top-tier organizations across the
 
 MENA, GCC, Europe, the US, and Canada
 
 . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
 
 empower growth, innovation, and excellence
 
 by matching the right talent with the right opportunities.
 
 
 Currently, we are hiring a
 
 Data Scientist
 
 for one of our
 
 partner organizations in KSA
 
 on a
 
 1-year contract
 
 , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.
 
 
 
 Main Responsibilities
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/ML use cases that deliver measurable business value and ROI
 </li>
 <li>
 Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
 </li>
 <li>
 Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
 </li>
 <li>
 Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
 </li>
 <li>
 Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines
 </li>
 <li>
 Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
 </li>
 <li>
 Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
 </li>
 <li>
 Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
 </li>
 <li>
 Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes
 </li>
 <li>
 Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
 </li>
 <li>
 Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
 </li>
 <li>
 Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
 </li>
 <li>
 Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications
 </li>
 <li>
 Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
 </li>
 <li>
 Support the development of enterprise ML platforms and reusable AI/ML components
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Main Requirements
 
 
 
 
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
 </li>
 <li>
 Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
 </li>
 <li>
 Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
 
 
 </li>
 </ul>
 
 Experience &amp; Skills:
 
 
 
 <ul>
 <li>
 5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
 </li>
 <li>
 Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
 </li>
 <li>
 Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
 </li>
 <li>
 Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
 </li>
 <li>
 Demonstrated ability to work with structured and unstructured data (JSON, text, images)
 </li>
 <li>
 Deep understanding of statistical methods, experimental design, and hypothesis testing
 </li>
 <li>
 Proven track record in model deployment, monitoring, and lifecycle management
 </li>
 <li>
 Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
 </li>
 <li>
 Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
 </li>
 <li>
 Experience with deep learning, computer vision, and natural language processing (NLP)
 </li>
 <li>
 Knowledge of generative AI, LLMs, and real-time or edge ML deployment
 </li>
 <li>
 Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
 </li>
 <li>
 Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
 </li>
 <li>
 Excellent communication skills to explain complex analytical findings to non-technical audiences
 </li>
 <li>
 Strong leadership and mentoring abilities, with experience guiding data science teams
 </li>
 </ul>
</div>

Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

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Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire