79 Scientist jobs in Saudi Arabia

Position Summary:

We are seeking a highly skilled and motivated PhD-level R&D Scientist with 3–4 years of experience in drilling fluid systems and simulation modeling. The ideal candidate will lead and contribute to the development and optimization of advanced drilling fluid technologies and digital simulation tools to enhance wellbore stability, efficiency, and sustainability in drilling operations.

This is a strategic role for someone who combines deep technical knowledge with hands-on experience in lab research, fluid rheology, and numerical modeling.

Key Responsibilities:

• Lead and conduct R&D projects focused on designing, testing, and improving drilling fluid systems (water-based, oil-based, synthetic-based, or polymer-based).
• Develop and implement simulation models (e.g., hydraulics, thermal modeling, cuttings transport, fluid loss) to predict drilling fluid performance in various well conditions.
• Utilize numerical tools (e.g., ANSYS, COMSOL, CFD, or custom simulators) to optimize formulations and drilling parameters.
• Conduct laboratory experiments to assess rheology, stability, filtration, and other key drilling fluid properties under HPHT conditions.
• Analyze experimental and field data to correlate simulation models with real-world performance.
• Collaborate with field engineers, product development teams, and clients to troubleshoot field challenges and deliver customized fluid solutions.
• Write technical reports, research papers, and contribute to patent filings and conference presentations.
• Stay updated on emerging technologies, materials, and digital innovations in drilling and well construction.

Required Qualifications:

• PhD in Chemistry , Petroleum Engineering, Chemical Engineering, or a related field with a specialization in drilling fluids .
• 3–4 years of industry or academic R&D experience focused on drilling fluid systems and simulation.
• Strong knowledge of fluid rheology, wellbore hydraulics, HPHT testing, and formation interactions.
• Strong problem-solving abilities and capability to design and conduct structured research programs.
• Excellent written and verbal communication skills, including the ability to present technical findings to both technical and non-technical audiences

• Sets the strategic vision for the DAH Scientific Research Center.
• Leads and promotes research by overseeing the production of high quality, peer-reviewed publications by the University community.
• Ensures adherence to professional standards and ethics in prospective research.
• Liaises with the national and international research community for strategic network building and interdisciplinary collaboration.
• Ensures that the DAH Scientific Research Center develops an international reputation for research.
• Facilitates acquisition of sufficient research funding from various sources.
• Provides support – logistical and financial – to faculty research projects and coordinates joint research projects amongst DAH faculty, and between DAH faculty and outside researchers.
• Holds training, seminars on research methodology and publishing opportunities.
• Links faculty with research publishing outlets.
• Develops and oversees budgets, policies and procedures for the DAH Scientific Research Center.
• Monitors the progress and outcomes of all projects as well as the Scientific Research Center as a whole.
• Observes the internal and external environment to detect research needs and areas of focus for research.
• Performs other duties as assigned.
• Risk and Crisis Management Duties:
• Guides the implementation of risk management across DAH
• Communicates key risk issues to the Departmental and Divisional Quality Assurance Committees, Planning Committee (Risk Management Sub-Committee) and the Risk and Crisis Management Unit, as needed.
• Reports on progress of risks to the Departmental and Divisional Quality Assurance Committees, Planning Committee (Risk Management Sub-Committee) and the Risk and Crisis Management Unit, as needed.
• Fosters a positive, risk-aware culture across DAH.
• Ensures new and emerging risks are identified, treated, monitored, reported, escalated and closed in line with DAH procedures
• Ensures that risk control activities in their area of responsibility are implemented
• Ensures their department members are aware of expectations in relation to risk management, by providing training.

Graduate Studies, Research and BusinessDivision

Minimum of 3 years of experience in the field

• Ph.D. or equivalent.
• Strong record of published research.
• A minimum of three years of experience in a higher education management/leadership role.
• A minimum of three years administrative experience in research project management.
• Ability to develop national and international collaborations.
• Ability to create a strategic vision.
• Experience in team-leadership in research.
• Experience in supervising graduate students.
• Excellent command of both English and Arabic Language (spoken and written).
• Ability to foster a collaborative, customer-oriented working environment.
• Effective interpersonal, communication and organizational skills.
• Ability to work independently, attend to multiple projects simultaneously, and meet deadlines.

• Sets the strategic vision for the DAH Scientific Research Center.
• Leads and promotes research by overseeing the production of high quality, peer-reviewed publications by the University community.
• Ensures adherence to professional standards and ethics in prospective research.
• Liaises with the national and international research community for strategic network building and interdisciplinary collaboration.
• Ensures that the DAH Scientific Research Center develops an international reputation for research.
• Facilitates acquisition of sufficient research funding from various sources.
• Provides support – logistical and financial – to faculty research projects and coordinates joint research projects amongst DAH faculty, and between DAH faculty and outside researchers.
• Holds training, seminars on research methodology and publishing opportunities.
• Links faculty with research publishing outlets.
• Develops and oversees budgets, policies and procedures for the DAH Scientific Research Center.
• Monitors the progress and outcomes of all projects as well as the Scientific Research Center as a whole.
• Observes the internal and external environment to detect research needs and areas of focus for research.
• Performs other duties as assigned.

Risk and Crisis Management Duties:

• Guides the implementation of risk management across DAH
• Communicates key risk issues to the Departmental and Divisional Quality Assurance Committees, Planning Committee (Risk Management Sub-Committee) and the Risk and Crisis Management Unit, as needed.
• Reports on progress of risks to the Departmental and Divisional Quality Assurance Committees, Planning Committee (Risk Management Sub-Committee) and the Risk and Crisis Management Unit, as needed.
• Allocates resources for risk management.
• Fosters a positive, risk-aware culture across DAH.
• Ensures new and emerging risks are identified, treated, monitored, reported, escalated and closed in line with DAH procedures
• Ensures that risk control activities in their area of responsibility are implemented
• Ensures their department members are aware of expectations in relation to risk management, by providing training.

Graduate Studies, Research and Business Division

Minimum of 3 years of experience in the field

• Ph.D. or equivalent.
• Strong record of published research.
• A minimum of three years of experience in a higher education management/leadership role.
• A minimum of three years administrative experience in research project management.
• Ability to develop national and international collaborations.
• Ability to create a strategic vision.
• Experience in team-leadership in research.
• Experience in supervising graduate students.
• Excellent command of both English and Arabic Language (spoken and written).
• Ability to foster a collaborative, customer-oriented working environment.
• Effective interpersonal, communication and organizational skills.
  Ability to work independently, attend to multiple projects simultaneously, and meet deadlines.

Full Time

Saudi

Female/Male

Jeddah

Contact Us

Email Address

Telephone

Ext

124 / 385/ 806

Overview

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.

We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.

• Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
• Communicate highly technical results and methods clearly to a wide variety of external clients.
• Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
• Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.
• Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
• Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
• Plan and execute solutions' development from data gathering to intelligent decision making.
• Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.

• B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.
• Relevant experience as a data scientist, or similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
• Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
• Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
• Applied experience in machine learning, such as conducting model experiments.
• Experience in version control systems, such as Git, GitHub.
• Programming experience in SQL or NoSQL is preferred.
• Familiarity with big data technologies, such as Spark.
• Experience in deep learning frameworks, such as PyTorch.
• Expertise in Natural Language Understanding and/or Risk Management applications.
• Familiarity with containerization frameworks, such as Docker.
• Research experience in optimization and natural language processing (NLP).
• 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.

Job Summary

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

• Proven experience as a Data Scientist
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

A data scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques

Department

Digital (Advanced Analytics CoE)

Key Responsibilities

• Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
• Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
• Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
• Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
• Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
• Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
• Develop and deploy analytical solutions using platforms like Vertex AI for model development, and PowerBI for insight visualization, ensuring seamless integration with business workflows.
• Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
• Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
• Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle

Expertise Required

• Power BI
• Big Query
• Google Cloud Platform
• Google Cloud Storage
• Vertex AI
• Python
• Technical Proficiency
• Business Knowledge

Job Title: Data Scientist

Location:
Riyadh , Saudi Arabia-
FULL ONSITE 5 Days a week

Contract
for 6 months contract+ extension

Language :
English and Fluent Arabic Speaker

Interested candidates can apply and share their CVs at

Role Overview

Data Scientist with expertise in
NLP
and
Computer Vision
. Skilled in developing and deploying machine learning models to analyze text and visual data, applying advanced techniques like deep learning, computer vision algorithms, and natural language processing for extracting insights, classification, and prediction tasks.

Responsibilities

• Developing, training, and deploying machine learning/deep learning models
• Data exploration, preprocessing, feature engineering
• Statistical analysis and model performance evaluation
• Image processing and OCR techniques
• Prompt Engineering
• This role is recommended to be based in
  Ministry of Commerce premises

Total Years of Experience
5+ Years

Technical Skills

• Python
• SQL
• Spark
• PyTorch
• TensorFlow

Certificates / Hands-on Experience

• Certified/Trained in Data Science/ML; Python/R & Core Analytics, Deep Learning, Statistics
• Hands-on: ML Model Building, Data Preparation & Validation, Statistical Analysis, Feature Engineering & Visualization

Master-Works is looking for a skilled Data Scientist with over 3 years of experience to enhance our analytics team. In this role, you will dive deep into data analysis and apply your knowledge of machine learning and statistical techniques to drive business outcomes and support our strategic initiatives.

Key Responsibilities:

• Design and develop robust data models and algorithms to tackle complex business issues
• Perform extensive data analysis to identify insights, patterns, and trends from various data sources
• Implement predictive analytics using machine learning and statistical methods to enhance decision-making
• Collaborate with cross-functional teams to translate business requirements into analytical solutions
• Communicate findings and actionable insights clearly to stakeholders at all levels

Join Master-Works to play a pivotal role in leveraging data as a strategic asset and driving our organization forward through data-driven insights.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
• 3+ years of experience in data science, analytics, or a related field
• Proficient in programming languages such as Python, R, or SQL
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn)
• Strong skills in data visualization tools, such as Tableau or Power BI
• Solid understanding of statistical analysis and modeling techniques
• Effective problem-solving skills and attention to detail
• Strong communication skills to convey complex data concepts to non-technical audiences

Key Accountabilities

• Successful delivery of production-ready ML models with measurable business impact.

• Achievement high & reliable prediction targets.

• Reduction in losses through advanced data-driven detection models.

• Improved customer retention through churn prediction and intervention strategies.

• Delivery AI/ML proof-of-concepts for emerging business opportunities.

• Clear documentation and model governance artifacts delivered for all deployed models.

Responsibilities

• Identify and prioritize AI/ML use cases that deliver measurable business value and ROI.

• Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization.

• Build and maintain end-to-end data pipelines, from feature engineering to model deployment.

• Implement advanced analytics techniques including deep learning, NLP, and computer vision where applicable.

• Work with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines.

• Ensure compliance with PDPL and NDMO standards in data usage, model development, and AI governance.

• Implement model monitoring, drift detection, and automated retraining pipelines.

• Collaborate with stakeholders to translate complex business problems into analytical solutions.

• Conduct A/B testing and experimentation to validate model effectiveness and business impact.

• Develop explainable AI solutions to ensure model transparency and regulatory compliance.

• Prepare clear documentation, technical reports, and executive dashboards for model outcomes.

• Lead knowledge transfer sessions and mentor junior data scientists and analysts.

• Stay current with latest ML/AI research and evaluate new techniques for business applications.

• Collaborate with Data Engineering team to ensure data quality and availability for ML pipelines.

• Support the development of the enterprise ML platform and reusable components.

Knowledge and Experience

• More than 5+ years of proven experience in machine learning, data science, and applied statistics.

• Strong expertise in Python and ML frameworks (scikitlearn, TensorFlow, PyTorch, XGBoost).

• Proficiency in SQL and experience with big data platforms (BigQuery, Spark, Databricks).

• Experience with MLOps practices and tools (Kubeflow, MLflow, Vertex AI, SageMaker).

• Demonstrated ability to work with structured and unstructured data (JSON, text, images).

• Strong understanding of statistical methods, experimental design, and hypothesis testing.

• Experience in model deployment, monitoring, and lifecycle management.

• Excellent communication skills to present complex findings to technical and non-technical audiences.

• Track record of delivering end-to-end ML solutions from ideation to production.

• Insurance or financial services domain experience (fraud detection, pricing models, claims prediction).

• Knowledge of generative AI, LLMs, and their business applications.

• Experience with deep learning for computer vision and NLP applications.

• Familiarity with real-time ML serving and edge deployment.

• Experience in explainable AI (XAI) and model governance frameworks.

• Knowledge of Saudi data regulations (PDPL, NDMO, SAMA).

• Experience with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker).

• Understanding of reinforcement learning and optimization algorithms.

• Contribution to open-source ML projects or research publications.

• Strong mentoring capabilities and experience leading data science teams.

• Ability to build and maintain relationships with business stakeholders.