business analyst

ai specialist Jobs in Riyadh Saudi Arabia

ai specialist

assistant manager – data engineering Jobs in Riyadh Saudi Arabia

assistant manager – data engineering

data & ai solution advisor (one-year fixed-term renewable contract) Jobs in Riyadh Saudi Arabia

data analyst (operations intelligence & strategy) Jobs in Riyadh Saudi Arabia

data scientist

EjadTech - إيجاد التقنية

<div>
 
 EjadTech is seeking a professional Data Scientist to act as a technical and strategic partner. The role involves extracting value from big data and transforming it into actionable insights that support decision-making and solve complex business challenges for our clients.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Translate complex business challenges into actionable data science projects and technical models.
 </li>
 <li>
 Manage the end-to-end data lifecycle, including extraction, cleaning, and transformation.
 </li>
 <li>
 Develop, train, and validate advanced Machine Learning models and predictive algorithms.
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) and create visualizations to communicate patterns clearly.
 </li>
 <li>
 Build and deploy scalable analytical solutions on cloud platforms (AWS, Azure, or GCP).
 </li>
 <li>
 Present technical findings and strategic recommendations to senior leadership and clients.
 </li>
 <li>
 Collaborate with Data Engineers to ensure robust data pipelines and system integration.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 3 to 6 years of professional experience as a Data Scientist.
 </li>
 <li>
 Strong proficiency in Python or R and advanced SQL querying.
 </li>
 <li>
 Proven track record in applying Machine Learning frameworks.
 </li>
 <li>
 Experience in a consulting or client-facing technology environment.
 </li>
 </ul>
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Exceptional Data Storytelling skills and the ability to simplify technical concepts for non-experts.
 </li>
 <li>
 Familiarity with Agile methodologies and modern data engineering practices.
 </li>
 <li>
 Critical thinking and problem-solving skills with the ability to work under pressure.
 </li>
 <li>
 Full professional proficiency in both Arabic and English.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

CNTXT

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
</div>

MASTER-WORKS

<div>Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
Data Engineer Roles and Responsibilities:
1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.
6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in 
 
 
Requirements 
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
preferably 5+ years of experience.</div>

Data Engineer

NADEC Foods

<div>
 
 The AI Specialist will be a hands-on technical expert responsible for designing, developing, implementing, and maintaining artificial intelligence and machine learning models to solve complex business problems within NADEC. This role involves working closely with data scientists, data engineers, and business stakeholders to identify opportunities for AI, develop robust solutions, and contribute to the continuous improvement of NADEC's operational efficiency, product innovation, and customer experience through AI.
 
 
 
 
 
 Core Accountabilities:
 
 
 &bull; AI/ML Model Development &amp; Implementation: Design, develop, train, and deploy machine learning models (e.g., for predictive o analytics, natural language processing, computer vision, anomaly detection, o recommendation systems).
 
 
 &cir; Perform data collection, preprocessing, feature engineering, and validation for o AI/ML models. &cir; Write production-quality code for AI/ML solutions and integrate them into o existing systems and workflows. o Optimize models for performance, scalability, and accuracy.
 
 
 &bull; Research &amp; Innovation: o Stay current with the latest advancements, techniques, and tools in AI, machine o learning, and deep learning.
 
 
 o Evaluate and experiment with new AI technologies and methodologies to o assess their potential value for NADEC.
 
 
 Contribute to the development of innovative AI-driven solutions to address o specific business needs in areas like agriculture, manufacturing, supply chain, o and sales &amp; marketing.
 
 
 &bull; Data Analysis &amp; Interpretation:
 
 
 o Collaborate with data analysts and business users to understand data sources o and requirements for AI projects.
 
 
 o Analyze large datasets to identify patterns, insights, and opportunities for AI o application. o Clearly communicate complex AI concepts and model results to both technical o and nontechnical audiences.
 
 
 ● Model Monitoring &amp; Maintenance:
 
 
 &cir; Develop and implement strategies for monitoring the performance of deployed o AI models. o Perform ongoing maintenance, retraining, and fine-tuning of models to ensure o continued accuracy and relevance.
 
 
 o Troubleshoot and resolve issues related to AI model performance or o deployment.
 
 
 o ● Collaboration &amp; Documentation:
 
 
 &bull; Work collaboratively in an agile environment with cross-functional teams o including data engineers, software developers, and business stakeholders. o Document AI models, methodologies, processes, and results thoroughly.
 
 
 o Participate in code reviews and knowledge-sharing sessions Public
 
 
 &bull; Ethical AI:
 
 
 &cir; Ensure that AI solutions are developed and deployed responsibly, considering o fairness, transparency, and ethical implications
 
</div>

AI Specialist

Datamatics Global Services Ltd

<div>Job Title: Informatica IDMC &amp; MDM Developer 
Location: Riyadh, Saudi Arabia 
Experience: 5&ndash;8 Years 
Employment Type: Full-Time<h2 class="jobSectionHeader"> 
Role Overview</h2>
We are seeking a skilled Informatica IDMC &amp; MDM Developer/Consultant to join our data management team in Riyadh. The ideal candidate will have strong hands-on experience with Informatica Intelligent Data Management Cloud (IDMC) and Informatica Master Data Management (MDM) to design, develop, and implement enterprise data integration and master data solutions.
This role involves building scalable data pipelines, implementing data governance practices, and ensuring high-quality, trusted master data across enterprise systems.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
Data Integration &amp; Development</h3><ul><li>
Design and develop data integration workflows using Informatica IDMC.</li><li>
Build and maintain ETL/ELT pipelines for data ingestion, transformation, and loading.</li><li>
Integrate data from multiple sources including databases, APIs, and enterprise applications.</li><li>
Optimize data pipelines to ensure performance, scalability, and reliability.</li></ul><h3 class="jobSectionHeader">
Master Data Management (MDM)</h3><ul><li>
Implement and manage Informatica MDM solutions for key business domains such as customer, product, or supplier data.</li><li>
Configure match and merge rules, hierarchies, and survivorship rules.</li><li>
Ensure data consistency, accuracy, and governance across systems.</li><li>
Support master data lifecycle management and stewardship processes.</li></ul><h3 class="jobSectionHeader">
Data Quality &amp; Governance</h3><ul><li>
Implement data quality rules using Informatica Data Quality tools within IDMC.</li><li>
Identify data inconsistencies and work with stakeholders to resolve issues.</li><li>
Support enterprise data governance and metadata management initiatives.</li></ul><h3 class="jobSectionHeader">
System Integration &amp; Support</h3><ul><li>
Collaborate with data engineers, BI teams, and business stakeholders to understand data requirements.</li><li>
Integrate MDM with downstream systems such as data warehouses, analytics platforms, and applications.</li><li>
Monitor data workflows and troubleshoot data integration or MDM issues.</li></ul><h3 class="jobSectionHeader">
Documentation &amp; Best Practices</h3><ul><li>
Maintain technical documentation for data pipelines, workflows, and MDM configurations.</li><li>
Follow data management best practices, coding standards, and security guidelines.</li><li>
Support deployment activities and environment management.</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Experience</h2><ul><li>
5&ndash;8 years of experience in data integration and master data management.</li><li>
Strong hands-on experience with Informatica Intelligent Data Management Cloud (IDMC).</li><li>
Experience implementing Informatica MDM solutions in enterprise environments.</li><li>
Experience with ETL/ELT development, data transformation, and data integration frameworks.</li><li>
Good understanding of data modeling, data governance, and data quality management.</li><li>
Experience working with relational databases (Oracle, SQL Server, PostgreSQL, etc.).</li><li>
Strong SQL and data analysis skills.</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Experience with Informatica Data Quality (IDQ), Informatica EDC, or Axon.</li><li>
Experience integrating data with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>
Knowledge of API integrations and data services.</li><li>
Experience working in large enterprise data environments.</li></ul><h2 class="jobSectionHeader"> 
Soft Skills</h2><ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and stakeholder management abilities.</li><li>
Ability to work independently and collaboratively in cross-functional teams.</li></ul>
vHZuKfKgch</div>

Informatica IDMC & MDM Developer

Muller's Solutions

<div>M&uuml;ller's Solutions is seeking an Expert in Data Licensing to join our team and provide strategic guidance on data licensing agreements, compliance, and best practices. In this role, you will be responsible for managing the data licensing lifecycle and ensuring that our data assets are leveraged effectively while adhering to legal and regulatory requirements.
You will collaborate with internal teams and external partners to develop and negotiate data licensing agreements, assess risks, and optimize data access strategies. Your expertise in data policies and industry standards will be crucial in driving our data initiatives forward.
This role is essential in industries like technology, finance, healthcare, AI, cybersecurity, and big data analytics where organizations rely on licensed data for operations, research, and innovation.
Responsibilities:<ul>
<li>Develop, negotiate, and manage data licensing agreements with various stakeholders.</li>
<li>Ensure compliance with data licensing regulations and industry standards.</li>
<li>Conduct risk assessments related to data usage and licensing.</li>
<li>Collaborate with legal teams to interpret and implement data licensing policies.</li>
<li>Provide guidance on data access, sharing, and usage rights.</li>
<li>Monitor industry trends and developments in data licensing to inform strategic decisions.</li>
<li>Facilitate training and awareness programs regarding data licensing practices.</li>
<li>Maintain comprehensive documentation of licensing agreements and compliance efforts.</li> 
</ul> 
 
Requirements 
<ul>
<li>Bachelor's degree in Law, Business, Data Science, or a related field.</li>
<li>Proven experience in data licensing, data governance, or legal compliance.</li>
<li>Strong understanding of data licensing agreements and regulatory frameworks.</li>
<li>Experience negotiating contracts and agreements with a focus on data rights.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and interpersonal skills for effective collaboration.</li>
<li>Ability to work independently and manage multiple projects simultaneously.</li>
<li>Familiarity with data management tools and software.</li>
<li>Knowledge of industry trends in data usage and licensing.</li>
<li>Experience in industries like technology, finance, healthcare, AI, cybersecurity, and big data analytics where organizations rely on licensed data for operations, research, and innovation.</li></ul></div>

Expert in Data Licensing

Explore 190+ Data scientist in Riyadh Saudi Arabia this April. Find roles across top companies and apply now to boost your career.

190 data scientist jobs In Riyadh Saudi Arabia

Data Scientist

Data Scientist

Data Scientist

Data Engineer

AI Specialist

Informatica IDMC & MDM Developer

Expert in Data Licensing