Data Scientist jobs in Saudi Arabia
Data Scientist – GenAI
PE Global (UK)
Data Scientist Jobs in Saudi Arabia (Sep 2025) - Bayt.com
CARE
Data Scientist Jobs in Jeddah (Sep 2025) - Bayt.com
Saudi Petroleum Services Polytechnic
Data Scientist Jobs in Riyadh (Sep 2025) - Bayt.com
Saudi Petroleum Services Polytechnic
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Data Scientist – GenAI
Job summary
A leading energy company based in Saudi Arabia seeks a skilled Data Engineer to integrate AI and machine learning solutions into energy systems. You will design and implement machine learning models, develop data pipelines, and collaborate with teams to optimize energy efficiency. The ideal candidate has a degree in a relevant field and proven experience in data engineering and machine learning. Interested candidates should submit their CVs to logan.kelly@peglobal.co.uk.
Qualifications
- Proven experience in machine learning and data engineering, preferably in the energy sector.
- Strong programming skills in Python or similar languages.
- Expertise in building scalable data pipelines and working with large datasets.
Responsibilities
- Design and deploy machine learning models for energy applications.
- Collaborate with teams to deliver AI solutions.
- Develop scalable data pipelines for data processing.
Skills
Education
Tools
Join a dynamic and innovative energy company at the forefront of sustainability and technological transformation – based in Sweden.
We are seeking a skilled Data Engineer, you will be a key player in the integration of advanced AI and machine learning solutions into energy systems. You will work with large-scale data sets, design and implement machine learning algorithms, and collaborate closely with data science and engineering teams. Your contributions will directly impact energy efficiency, predictive maintenance, and sustainability goals.
- Design, develop, and deploy machine learning models for energy-related applications such as demand forecasting, energy optimization, and predictive maintenance.
- Collaborate with data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions.
- Develop scalable data pipelines to ingest, process, and analyze large volumes of structured and unstructured data.
- Work with cloud technologies (AWS, Azure, or GCP) to deploy and manage machine learning models in production environments.
- Continuously improve model performance and monitor their effectiveness using advanced monitoring tools and frameworks.
- Stay up to date with the latest advancements in AI and machine learning and apply innovative techniques to solve energy sector challenges.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Proven experience in machine learning, data engineering, and AI, preferably in the energy sector.
- Strong programming skills in Python, R, or similar languages, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in working with large data sets and building scalable data pipelines (SQL, NoSQL, and Big Data tools like Hadoop or Spark).
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for machine learning model deployment.
- Strong problem-solving abilities and a passion for driving innovation in the energy space.
If interested, please send your CV to logan.kelly@peglobal.co.uk
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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