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whiteshield data scientist - ai economics unit Jobs in Saudi Arabia

whiteshield data scientist - ai economics unit

whiteshield data scientist ai economics unit

Whiteshield

<div>
 Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you'll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.
 
 
 You'll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You'll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.
 
 
 
 Requirements
 
 
 
 We are looking for strong data scientists and technically literate consultants. We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence. If you are capable of some of that and eager to develop the rest, we encourage you to apply.
 
 
 Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Real influence and access - Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.
 </li>
 <li>
 Room to innovate - If you see a better way, try it. We encourage new methods and actively pilot new technologies.
 </li>
 <li>
 Cutting-edge tools - Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.
 </li>
 <li>
 Structured growth - Learn from senior experts through hands-on mentoring and project-based skill transfer.
 </li>
 </ul>
</div>

Whiteshield Data Scientist - AI Economics Unit

<div>Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you&rsquo;ll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.
You&rsquo;ll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You&rsquo;ll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.
Requirements
We are looking for strong data scientists and technically literate consultants. We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence. If you are capable of some of that and eager to develop the rest, we encourage you to apply.
Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities
Benefits<ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

<div>WHERE YOU FIT IN |
As a Full-Stack .NET Developer at Whiteshield, you will play a critical role in designing, building, and scaling high-performing web applications that underpin our digital platforms and flagship policy advisory products. You will be responsible for end-to-end development across the application stack, including Blazor front-end components, .NET Core back-end services, and Microsoft SQL Server data layers.
You will build modern, maintainable, and secure applications using the Blazor WebAssembly/Server framework, C#, and Entity Framework, while applying best practices in RESTful API design, domain-driven architecture, and database optimization. Your work will extend to developing cloud-native applications deployed on Azure &amp; on-premise deployments to IIS, incorporating CI/CD pipelines, infrastructure-as-code, and DevSecOps principles to ensure robust, scalable, and secure deployments.
This role demands a strong understanding of software architecture, data modelling, and emerging AI technologies, including opportunities to integrate LLM&rsquo;s (e.g., OpenAI, Gemini) to enhance user experience and analytics. You&rsquo;ll collaborate closely with cross-functional teams across design, technical, and business domains to deliver high-impact, production-grade software.
KEY RESPONSIBILITIES |
<ul><li>Collaborate closely with product teams to translate business challenges into scalable and maintainable software solutions</li>
<li>Lead the development of web applications using Blazor (WebAssembly and Server), delivering dynamic, component-based UI&rsquo;s integrated with secure, high-performing API&rsquo;s</li>
<li>Design and maintain API layers using .NET Core, incorporating authentication (OAuth2, JWT), request validation, and rate limiting where applicable</li>
<li>Architect robust, modular C# backend services, applying domain-driven design and deploying within containerized environments (Kubernetes experience is a plus)</li>
<li>Build and maintain relational data models using Microsoft SQL Server, optimizing performance through indexing, partitioning, stored procedures, and other database tuning techniques</li>
<li>Collaborate with data engineering teams to support ETL pipelines, operational data marts, and analytics-ready schemas within a structured medallion architecture
</li></ul><ul><li>Integrate Large Language Models (LLM&rsquo;s) such as OpenAI into products using secure API calls, embedding techniques, and prompt engineering best practices</li>
<li>Participate in Agile ceremonies, help refine user stories, and challenge assumptions to ensure technically sound and valuable feature delivery</li>
<li>Work from design prototypes in Figma, implementing responsive, accessible, and pixel-perfect UI components using Razor, Blazor bindings, and modern CSS frameworks (e.g., TailwindCSS or Bootstrap)</li>
<li>Ensure strong application security through secure storage, encrypted communications, and identity protocols aligned with best practices</li>
<li>Build and maintain automated testing suites using xUnit, bUnit, Playwright, or similar frameworks to ensure high-quality releases</li>
<li>Manage CI/CD workflows and infrastructure provisioning via Azure DevOps, including pipelines, artifacts, configuration management, and release automation</li>
<li>Monitor application performance and reliability post-deployment using Application Insights, Log Analytics, or similar telemetry solutions
</li><li>Drive continuous improvement across the engineering lifecycle, contributing to the evolution of internal frameworks, coding standards, and dev tooling</li>
<li>Stay up to date with the latest advancements in the .NET ecosystem, Azure services, and Blazor framework, and proactively share knowledge with the wider team</li>
</ul>Requirements<ul>
<li>Fluent in English; Arabic language skills are an asset</li>
<li>Excellent communication and collaboration skills in cross-functional, agile environments</li>
<li>Strong analytical mindset and attention to detail across quality, security, and performance</li>
<li>5+ years of professional experience in full-stack development and web application delivery</li>
<li>Proficient in .NET Core, ASP.NET WebAPI and Blazor (WebAssembly &amp; Server) frameworks</li>
<li>Deep understanding of Razor components, TailwindCSS, HTML/CSS, and responsive UI design</li>
<li>Advanced experience with relational databases: SQL Server, PostgreSQL
</li><li>Proven experience with ETL pipeline development, data modelling, indexing, and query optimization
</li><li>Familiarity with LLM API&rsquo;s, prompt design, and model orchestration</li>
<li>Hands-on experience with DevSecOps tools and cloud deployment workflows</li>
<li>Familiarity with Git, GitHub, Azure DevOps, and automated CI/CD pipelines</li>
<li>Experience using collaborative wireframing tools such as Figma
</li><li>Cloud experience with Azure and/or Google Cloud Platform - certification preferred (GCP Professional Developer)</li>
</ul>Benefits
WHY CHOOSE US |
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</div>

Full-Stack Developer (Blazor / .NET)

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>

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Model Development &amp; Implementation
 
 : 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>
 
 AI Solutions
 
 : Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions.
 </li>
 <li>
 
 Data Analysis &amp; Exploration
 
 : Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development.
 </li>
 <li>
 
 Collaborative Problem Solving
 
 : 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>
 
 Model Optimization
 
 : Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration.
 </li>
 <li>
 
 Scalability &amp; Performance
 
 : 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>
 
 Stay Current with AI Trends
 
 : 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>
 
 Reporting &amp; Communication
 
 : Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analytics.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong proficiency in programming languages such as Python, R, or similar.
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluation.
 </li>
 <li>
 Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or similar.
 </li>
 <li>
 Solid understanding of statistical methods, hypothesis testing, and data modeling techniques.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a plus.
 </li>
 </ul>
 
 
 
</div>

Explore 1830+ Whiteshield data scientist ai economics unit in Saudi Arabia this October. Find roles across top companies and apply now to boost your career.

1830 whiteshield data scientist ai economics unit jobs IN Saudi Arabia

Whiteshield Data Scientist - AI Economics Unit

Whiteshield Data Scientist - AI Economics Unit

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