43 Data Mining jobs in Riyadh

Master-Works is seeking a forward-thinking Data Analytics professional to join our talented team. In this role, you will be responsible for analyzing complex data sets to uncover valuable insights that drive business strategies and operational improvements. Your expertise in data analysis will play a vital role in enhancing our data-driven culture and informing decision-making processes across the organization.

• Collect, clean, and analyze data from various sources to identify trends and patterns


• Develop and implement analytical models to evaluate business performance


• Create comprehensive reports and dashboards that summarize findings and insights for stakeholders


• Work closely with teams to determine data needs and provide analytical solutions


• Use statistical methods to derive insights and predict future trends


• Ensure the accuracy and integrity of data through rigorous validation and quality checks


• Communicate analytical results effectively to both technical and non-technical audiences

• Bachelor's degree in Data Science, Mathematics, Business Analytics, or a related field


• 2+ years of experience in data analysis or analytics


• Proficient in SQL and data visualization tools such as Tableau or Power BI


• Strong understanding of statistical analysis and experience with data modeling


• Excellent analytical and problem-solving skills


• Strong communication skills, with the ability to explain complex data concepts to diverse audiences


• A detail-oriented professional with a passion for data-driven decision making

Overview

Our Client is hiring a skilled Data Analytics Specialist (Incorta) to join their team in KSA (Onsite). The ideal candidate will be proficient in leveraging Incorta to transform raw data into strategic insights that support business decisions.

Data Analytics Specialist_ Incorta

Location: Onsite Saudi Arabia

Duration: Contract

• Design, build, and maintain dashboards and reports using Incorta

• Work closely with business teams to understand data requirements

• Develop data models and pipelines to support analytics needs

• Perform data analysis and present actionable insights to stakeholders

• Troubleshoot and optimize existing reports and dashboards

• Ensure data accuracy, consistency, and availability for end-users

• Proven experience with Incorta platform (designing and developing dashboards and schemas)

• Strong skills in data modeling , ETL , and SQL

• Experience working with large datasets and complex data environments

• Strong understanding of business KPIs and analytics reporting

• Excellent communication and problem-solving skills

• Experience with cloud platforms (e.g., Azure, AWS)

• Familiarity with other BI tools (e.g., Power BI, Tableau)

• Background in financial , retail , or logistics sectors

Join to apply for the Data Analytics Specialist_ Incorta role at LeadingEdge HR Solutions

Join to apply for the Data Analytics Specialist_ Incorta role at LeadingEdge HR Solutions

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Our Client is hiring a skilled Data Analytics Specialist (Incorta) to join their team in KSA (Onsite) . The ideal candidate will be proficient in leveraging Incorta to transform raw data into strategic insights that support business decisions.

Position: Data Analytics Specialist_ Incorta

Location: Onsite Saudi Arabia

Duration: Contract

Key Responsibilities:

• Design, build, and maintain dashboards and reports using Incorta
• Work closely with business teams to understand data requirements
• Develop data models and pipelines to support analytics needs
• Perform data analysis and present actionable insights to stakeholders
• Troubleshoot and optimize existing reports and dashboards
• Ensure data accuracy, consistency, and availability for end-users
  
  
  

• Proven experience with Incorta platform (designing and developing dashboards and schemas)
• Strong skills in data modeling, ETL, and SQL
• Experience working with large datasets and complex data environments
• Strong understanding of business KPIs and analytics reporting
• Excellent communication and problem-solving skills
  
  
  

• Experience with cloud platforms (e.g., Azure, AWS)
• Familiarity with other BI tools (e.g., Power BI, Tableau)
• Background in financial, retail, or logistics sectors

• Seniority level Not Applicable

• Employment type Full-time

• Job function Information Technology
• Industries Information Services

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Responsibilities

• Collaborate with senior leadership to define AI strategies and business objectives.


• Lead the design, development, and deployment of AI solutions tailored to client needs, ensuring business impact and ROI.


• Provide strategic guidance on AI adoption, aligning initiatives with industry trends, regulatory requirements, and best practices.


• Drive AI transformation by identifying opportunities for AI integration within client operations, processes, and technology ecosystems.


• Oversee project delivery, managing timelines, budgets, resources, and risk mitigation strategies to ensure successful execution.


• Lead and mentor a team of AI professionals, fostering a culture of innovation, collaboration, and continuous learning.


• Engage with internal and external stakeholders, including data scientists, engineers, and business leaders, to refine AI models and methodologies.


• Conduct in-depth assessments of AI solutions to measure effectiveness and optimize performance.


• Stay ahead of emerging AI technologies, industry developments, and regulatory changes to inform project strategies.


• Lead business development efforts, identifying new opportunities, expanding client relationships, and contributing to AI thought leadership.


• Develop proposals, presentations, and prototypes to showcase AI capabilities and drive client engagement.


• Represent the firm at industry events, conferences, and executive briefings to promote AI expertise and expand market presence.

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.


• 12+ years of experience in AI, data science, or a related field, with a proven track record in a consulting or corporate leadership role.


• Expertise in AI technologies, including machine learning, natural language processing, computer vision, and generative AI.


• Strong leadership and project management experience, with the ability to oversee multiple engagements simultaneously.


• Demonstrated success in delivering AI-driven business transformations in industries such as financial services, technology, or government.


• Strong stakeholder management and communication skills, with the ability to present complex AI concepts to non-technical audiences.


• Experience working within Agile methodologies for AI and product development.

Overview

Support the Motor Pricing & Data Analytics function by performing actuarial and data analysis, developing pricing models, and delivering insights that drive data-based decisions and improve business performance.

• Apply statistical and actuarial techniques (GLM, frequency–severity, machine learning where relevant) to build/improve pricing sophistication.
• Conduct reserving analysis and profitability studies.
• Perform actuarial analyses to monitor technical rate adequacy, loss ratios, and portfolio performance.
• Developing and implementing data analysis, data collection systems and other strategies that optimize statistical efficiency and quality.
• Deliver actionable insights through dashboards, reports, and analytical tools to support business decisions.
• Collaborate with underwriting, claims, and finance teams to align pricing strategies with business needs.
• Responsible for complying with cyber security policy, standards and procedures.
• Collect related information and maintain databases of actual/ perceived price benchmark positioning by customers to support pricing action plans.
• Perform advanced and complex pricing analysis scenarios to develop and evaluate business cases for new pricing strategies in order to support the decision-making process.
• Analyze market data and make recommendations on the revision of pricing to maintain alignment with the marketplace.

• Bachelor’s degree in actuarial and financial mathematics.
• 2-3 years of experience.

• Entry level

• Full-time

• Business Development

• Insurance

Working for this leading telecommunications operator in Riyadh, Saudi Arabia, your primary responsibilities will be to:

-Analyze consumer and usage data to gain insights into consumer behaviour and to provide recommendations on how to successfully manage the company’s loyalty programs
-Prepare reports for various stakeholders such as program managers and business unit managers to evaluate the impact of the loyalty programs
-Support the development, data extraction and reporting for promotional campaigns and offers
-Conduct data mining such as customer tiering and campaign targeting
-Monitor partner performance indicators and feedback reports
-Support the preparation of the loyalty program budget
-Oversee data quality and make recommendations on how to improve data collection and management

-Must have a minimum of 5 years experience in data-analysis and CRM
-Experience in the telecommunications and loyalty sector is a great advantage
-Must have experience in data mining tools
-Must hold a Bachelor’s degree in Engineering, Mathematics, Statistics or Computer Science
-Must have impeccable analytical skills

About The Company

Michael Page is one of the world's leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary and interim positions with clients around the world.

The Group has operations in the UK, Continental Europe, Asia-Pacific and the Americas. In the Middle East we focus on the areas of:

Finance & Accounting
Banking & Financial Services
Procurement
Property & Construction
Engineering & Supply Chain
Oil & Gas Technical and Engineering
Human Resources
Sales
Marketing
Technology
Secretarial
Executive Search
Legal

The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.

1. Build and maintain high-performance microservices using Kotlin and Spring Boot
2. Model relational schemas, optimize SQL queries, and manage data consistency across MySQL and PostgreSQL
3. Collaborate with data scientists to consume ML models (e.g., via REST, gRPC), embed intelligent decisioning into backend services
4. Develop and maintain RESTful APIs; define contracts for frontend, partner services, or AI inference layers
5. Contribute to Docker/Kubernetes-based deployments, CI/CD pipelines, and monitoring (Grafana, Prometheus, etc.)
6. Review code, guide peers on best practices, and participate in architectural discussions and roadmap planning

Skills

• 5+ years of experience building production-ready backend systems
• Expert-level knowledge of Kotlin and Spring Boot ecosystem
• Strong experience with microservices, API design, and distributed systems
• Hands-on experience with MySQL and PostgreSQL including schema design and query optimization
• Solid understanding of software design patterns, RESTful principles, and secure coding practices
• Experience with containerized environments and orchestrators (Docker, Kubernetes)
• Familiarity with integrating AI/ML models (e.g., Python-based APIs, TensorFlow/ONNX serving, or model inference endpoints)
• Strong communication skills and ability to work across engineering and data teams

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.