450 Predictive Analytics jobs in Saudi Arabia

5 to 7 years experience in the same field
- English Language

Data Analysis Specialist - أخصائي تحليل بيانات Data Analysis Specialist - أخصائي تحليل بيانات

Direct message the job poster from Saudi Patient Safety Center - المركز السعودي لسلامة المرضى

Job Purpose - الغرض من الوظيفة

The Data Analyst will play a key role in improving the quality of patient safety data at the Saudi Patient Safety Center (SPSC). By applying advanced statistical and analytical methods, the analyst will generate evidence-based reports, develop national patient safety KPIs, and support decision-making at both national and international levels - سيساهم محلل البيانات بدور محوري في تحسين جودة بيانات سلامة المرضى في المركز السعودي لسلامة المرضى ومن خلال تطبيق الأساليب الإحصائية والتحليلية المتقدمة، سيقوم المحلل بإعداد تقارير قائمة على الأدلة، وتطوير مؤشرات أداء وطنية لسلامة المرضى، ودعم عملية اتخاذ القرار على المستويين الوطني والدولي. ويسهم هذا الدور بشكل مباشر في تعزيز مكانة المركز كجهة وطنية رائدة ذات شراكات دولية ومعترف بها من قبل منظمة الصحة العالمية (WHO).

Responsibilities - المسؤوليات

• Collect, clean, analyze, and present findings of healthcare data using advanced statistical tools and methods - جمع البيانات الصحية وتنظيفها وتحليلها وعرض نتائجها باستخدام أدوات وأساليب إحصائية متقدمة.
• Prepare reports highlighting trends, risks, and recommendations for performance improvement - إعداد تقارير تسلط الضوء على الاتجاهات والمخاطر والتوصيات اللازمة لتحسين الأداء.
• Collaborate with clinical teams to interpret findings and implement evidence-based improvements - التعاون مع الفرق السريرية لتفسير النتائج وتطبيق التحسينات المبنية على الأدلة.
• Support research studies and national/international projects related to patient safety - دعم الدراسات البحثية والمشاريع الوطنية والدولية ذات الصلة بسلامة المرضى.
• Develop, monitor, and evaluate patient safety Key Performance Indicators (KPIs) - تطوير ومتابعة وتقييم مؤشرات الأداء الرئيسة (KPIs) الخاصة بسلامة المرضى.
• Ensure accuracy, integrity, and quality assurance of data before reporting - ضمان دقة ونزاهة البيانات وجودتها قبل نشرها أو الإبلاغ عنها.
• Contribute to strengthening SPSC’s international reporting and benchmarking in line with WHO standards - الإسهام في تعزيز التقارير الدولية والمقارنات المرجعية للمركز بما يتماشى مع معايير منظمة الصحة العالمية.
• Create dashboards and visualization tools (Power BI/Tableau) to facilitate decision-making in patient safety - إنشاء لوحات متابعة وأدوات عرض بيانية (Power BI/Tableau) لدعم عملية اتخاذ القرار في مجال سلامة المرضى.

Requirement and Qualifications - المتطلبات والمؤهلات

• Bachelor or Master’s degree in Biostatistics, Epidemiology, Health Data Science, or a related field - درجة الباكلوريوس او الماجستير في الإحصاء الحيوي، علم الأوبئة، علوم بيانات الصحة، أو مجال ذي صلة.
• Patient Safety certification - شهادة في سلامة المرضى.
• Certified Professional in Healthcare Quality (CPHQ) - أخصائي معتمد في جودة الرعاية الصحية
• Machine Learning specialization - تخصص في التعلم الآلي.
• Lean Six Sigma Green/Black Belt - لين سقما
• Certified Health Data Analyst (CHDA) - محلل بيانات صحية معتمدة
• Proficiency in statistical software and tools such as SAS, R, SPSS, Power BI, or Python - إجادة استخدام البرمجيات والأدوات الإحصائية مثل SAS، R، SPSS، Power BI أو Python.
• Strong SQL and data querying from relational databases or cloud-based environments - إتقان SQL واستخراج البيانات من قواعد البيانات العلائقية أو البيئات السحابية.
• Advanced analytical and problem-solving skills, with ability to extract meaningful insights - مهارات تحليلية متقدمة وحل المشكلات مع القدرة على استنتاج رؤى ذات مغزى.
• Strong reporting skills with ability to communicate complex findings clearly - مهارات قوية في إعداد التقارير وعرض النتائج المعقدة بشكل واضح.
• Ensure data accuracy, quality, and security in compliance with internal policies and data governance standards - ضمان دقة وجودة وأمن البيانات بما يتماشى مع السياسات الداخلية ومعايير حوكمة البيانات.
• Cross-functional Collaboration - القدرة على التعاون الفعال مع فرق متعددة التخصصات.
• Strong communication and data presentation abilities for clinical and non-clinical audiences - قدرات تواصل متميزة وعرض البيانات بطريقة مناسبة للجمهور السريري وغير السريري.
• High attention to detail and accuracy in data work - دقة عالية واهتمام بالتفاصيل في العمل مع البيانات.
• Ability to collaborate effectively in multidisciplinary teams - القدرة على التعاون والعمل الجماعي بفعالية.

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**In Service Data Analysis (ISDA) Specialist**

**Salary: Competitive**

**Location: Taif, Saudi Arabia**

**JOB PURPOSE**

BAE Systems is the UK Government’s nominated Prime Contractor under the Government-to-Government arrangements that are in place to provide equipment, support and training to Saudi Arabia. We provide maintenance of Royal Saudi Air Force (RSAF) aircraft and train RSAF and Royal Saudi Naval Force personnel safely in a training environment in how to use their aircraft, equipment and weapons.

BAE Systems Saudi Arabia is committed to supporting the Saudi Arabian National Agenda including Saudisation and the training and development of Saudi National capability through the growth of the Saudi National Partner Companies thereby reinforcing Industrialisation and Partnerships.

The purpose of this job is to perform the role of Senior In-Service Data Analysis (ISDA) Specialist for the Typhoon weapon system based in the Typhoon Support Centre (TSC) at Taif on behalf of the Royal Saudi Air Force (RSAF).

To provide trending analysis of Typhoon metrics, identification of aircraft fault patterns and system failures by way of clear reports, with a view to recommending in-service maintenance / operational improvements to assist with continuing airworthiness and extend the in-service life of the Typhoon weapon system in KSA.

Interface directly with the RSAF, helping their understanding of Typhoon in-service data metrics. You will deputise as Team Leader for ISDA when the ISDA Team Leader is absent. Also improve and expand existing key skills of Saudi Nationals to develop expertise in the Typhoon ISDA role.

**JOB ACCOUNTABILITIES**
- Analysis of in-service data to determine Typhoon Fleet reliability and maintainability trends.
- Root Cause Analysis of Aircraft System reliability and maintainability issues to produce improvement recommendations, where appropriate.
- Analysis of the effectiveness of the maintenance program in order to support optimisation recommendations.
- Provision of detailed reports in support of Configuration Management.
- Act as a point of contact within the ISDA function to interface with the RSAF at all levels and assist with their understanding of in-service data metrics.
- Maintain links with the Industry Arising Rate Management Team as Appropriate.
- Use Oracle SQL Developer and MS Office software to extract and manipulate data from multiple sources to build reports based on this data and/or carry out analysis of this data.
- Ensure the production of in-service performance reports including flying hours, maintenance hours, arisings, faults and removals as required by the stakeholders.
- Provision of useable information from ESS generated maintenance and structural health data as required
- Hold regular planning and prioritisation meetings with the ISDA Team Leader.
- Provide structured on-the-job mentoring for RSAF and/or BAES Saudi National ISDA Staff.
- Support the implementation of a Data Governance framework for managing data through-life in accordance with BAE Systems and Customer data management policies.
- Identification of ESS Data Quality issues helping drive data quality improvements.
- Undertaking any additional, reasonable, tasks as may from time to time be requested by TSC and RSAF management.

**RECRUITMENT SPECIFICATION**

**_Essential_**
- Qualified to HND/HNC, or equivalent, in an Aeronautical I Computing Systems engineering discipline, or extensive relevant experience.
- Extensive experience in an aircraft support/maintenance environment, or similar role essential.
- Broad experience in the interrogation of Oracle ROMS or equivalent database technology is essential.
- Able to work autonomously to produce clear investigative reports using SQL queries from engineering specific questions essential.

**_Desirable_**
- Existing knowledge and experience of the Typhoon in-service data management requirements and the Engineering Support Sub-system (ESS) data as well as the Trilogy approved data set is highly desirable.
- Broad knowledge of ESS applicability with regards to the Typhoon weapon system is desirable.
- An understanding of BAES and/or the customer’s continuing airworthiness management policies would be desirable.***

**RECRUITMENT**
- Ideally from within BAE Systems, or currently serving within the RAF, to ensure familiarity with Typhoon and its data management requirements.

**EXPATRIATE EMPLOYEE BENEFITS**

In return for the required high levels of commitment and hard work you will receive a competitive salary, rent free accommodation and access to free recreation facilities, all available within Company secured accommodation. In addition, a generous leave and travel allowance makes this an opportunity not to be missed.

**SAUDI NATIONAL EMPLOYEE BENEFITS**

In return for the required high levels of commitment and hard work you will receive a competitive salary and benefits package, including a generous leave and travel allowance, a full health care

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.

Relevant Experience:

• 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.

Skills Expected:

• 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.

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Bachelor’s Degree in Computer Science or related field.

Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis.

• Proficiency in Python.
• Information Retrieval.
• Data Mining.
• Natural language Programming.
• Machine Learning
• Python Data Science stack (NLTK, Pandas, Numpy).
• Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Interested applicants should send their CVs with mentioning “machine learning specialist” in the subject line.

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**Ready to build intelligent systems that can learn and adapt? Become our next Machine Learning Engineer!**

**About Our Client**: We are recruiting for a top-tier software company in KSA known for its innovation in artificial intelligence and machine learning. This company is dedicated to developing cutting-edge solutions that leverage machine learning to solve complex problems.

**The Role**: As a Machine Learning Engineer, you will design, develop, and implement machine learning models and algorithms. You will work with large datasets to create predictive models and deploy them in production environments.

**What You'll Do**:

- Design and implement machine learning models and algorithms
- Work with large datasets to train and evaluate models
- Develop and maintain data pipelines and infrastructure for model deployment
- Collaborate with data scientists and engineers to integrate machine learning solutions
- Monitor and improve model performance and accuracy
- Stay updated on the latest advancements in machine learning

**What We're Looking For**:

- 3-5 years of experience in machine learning
- Proficiency in programming languages (e.g., Python, R)
- Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch)
- Experience with data preprocessing and feature engineering
- Excellent problem-solving and analytical skills

**Benefits**:

- Competitive salary
- Health insurance
- Professional development opportunities
- Flexible working hours
- Exciting and innovative projects

Overview

Join to apply for the Machine Learning Engineer - Riyadh role at Mozn .

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’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.

The Role

We are seeking a talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, and maintaining ML infrastructure.

Responsibilities

• Designing, building, supporting, and scaling our cloud and/or on-premise ML infrastructure.
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU.
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes.
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting.
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability.
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities.
• Exploring and learning new technologies that can complement or replace our current stack to improve it.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• +2 years of experience in a similar role.
• Proficiency in Arabic language (Native Arabic speaker) is a must.
• Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
• Experience with relational databases, including SQL queries, database definition, and schema design.
• Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe).
• Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment.
• Effective communication skills to convey technical solutions to end-users.
• Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues).
• Experience with containerization technologies (e.g. Docker) is highly preferred.
• Experience with distributed computing systems is a plus.
• Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus.
• Knowledge of big data platforms like kafka, hadoop, and spark is a plus.

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• 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.
• 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.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Other

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development

Riyadh, Riyadh, Saudi Arabia

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As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

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Overview

Staff Machine Learning Engineer at Mozn. Mozn is a technology firm in Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia, supporting and growing the tech ecosystem in Saudi Arabia and the GCC. Mozn partners with government organizations and large corporations and startups. We are scaling to provide AI-powered products and solutions locally and globally.

About The Role

We are seeking a talented hands-on Staff Machine Learning Engineer to lead one of ML Engineering teams at OSOS. The ideal candidate is a native Arabic speaker with a strong foundation in AI and machine learning, and a track record of building and deploying real-world AI systems. You will play a pivotal role in optimizing ML models for training and inference, deploying deep learning models in specialized hardware for inference, monitoring performance and latency, maintaining inference pipelines, and sustaining ML infrastructure.

What You'll Do

• Lead a multidisciplinary team of ML engineers focused on advanced Arabic language solutions and products
• Design, build, support, and scale cloud and/or on-premise ML infrastructure
• Deploy deep learning models in production and optimize performance for inference on GPU or CPU
• Maintain infrastructure for training and inference (on-prem and cloud)
• Monitor deployed ML models for performance, latency, and throughput using automated tools
• Evaluate and improve data science processes, identifying opportunities for automation, efficiency, and scalability
• Collaborate with product teams, data scientists, software engineers, data annotators, and stakeholders
• Guide the team on best practices in ML engineering, software design, testing, versioning, and deployment
• Stay up to date with ML trends and apply knowledge to enhance the team's capabilities
• Explore and learn new technologies to improve the current stack and enable modernization
• Ensure the team adopts modern ML tooling and infrastructure, including vector databases, orchestration tools, and scalable APIs

Qualifications

• Bachelor's or master's degree in computer science or a related field
• 8+ years of experience in a similar role
• Proficiency with MLOps tools, CI/CD for ML, and scalable backend architecture
• Proficiency in Arabic language (native) is a must
• Proficiency in one or more programming languages (e.g., Python, C, C++)
• Experience with relational databases, SQL, schema design
• Experience deploying deep learning frameworks (TensorFlow, PyTorch, ONNX) in production using inference frameworks (e.g., Nvidia Triton, TorchServe)
• Uphold best practices around clean code, version control, testing, CI/CD
• Effective communication to convey technical solutions
• Experience with monitoring ML models and reporting tools (e.g., Grafana, Prometheus)
• Experience with containerization (e.g., Docker) is highly preferred
• Experience with distributed systems is a plus
• Experience with cloud platforms (e.g., AWS, GCP, OCI) is a plus
• Knowledge of big data platforms (Kafka, Hadoop, Spark) is a plus
• Experience managing remote or distributed teams

Benefits

• Competitive compensation and health insurance
• Enabling culture and opportunities to work with leading minds in AI
• Career growth in a high-growth organization at the forefront of AI in the Middle East

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