70 Senior Scientist jobs in Saudi Arabia

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.

Date Opened

10/16/2025

Job Type

Full time

Job Opening Status

In-progress

Work Experience

1-3 years

Industry

Technology

City

Riyadh

State/Province

Riyadh

Country

Saudi Arabia

Zip/Postal Code

11564

Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.

We are seeking a motivated Saudi National Data Scientist with 2–3 years of experience in data analysis, statistical modeling, and predictive analytics. The ideal candidate will assist in transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role is ideal for candidates passionate about data, analytical problem-solving, and leveraging statistical techniques to derive business value.

Key Responsibilities:

• Collect, clean, and pre process data from multiple sources to ensure accuracy and consistency.
• Assist in building predictive models, statistical analyses, and machine learning solutions.
• Support the development of dashboards and reports using Power BI, Tableau, or similar tools.
• Collaborate with business teams to understand requirements and translate them into data-driven solutions.
• Analyze trends, patterns, and anomalies to provide actionable business insights.
• Participate in feature engineering, data transformation, and model evaluation.
• Document methodologies, models, and analytical processes.
• Ensure compliance with data security, governance, and quality standards.
• Stay updated with emerging data science tools, techniques, and best practices.
• Assist in presenting findings to stakeholders in a clear and concise manner.

Skills Required:

• 2–3 years of experience in data analysis or data science.
• Proficiency in Python, R, or similar programming languages for data analysis.
• Strong knowledge of statistics, machine learning, and predictive modeling.
• Experience with SQL and data querying.
• Familiarity with Power BI, Tableau, or other visualization tools.
• Understanding of data preprocessing, feature engineering, and model evaluation.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent attention to detail and data accuracy.
• Good communication and teamwork skills.
• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.

We are seeking a highly capable expert to join our client for this prestigious assignment.

About the Role:

Position: Senior AI & Data Scientist

Location: Onsite – Riyadh, Saudi Arabia

Experience: 10+ Years

Department: Data & AI Department

TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.

Qualifications:

• Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data

libraries (Pandas, NumPy).

• Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,

Internal Only

optimization).

• Familiarity with containerized deployments (OpenShift, Docker).

• Experience building APIs/microservices (FastAPI, Flask) for model integration.

• Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable

deployments.

• Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).

• Working understanding of Agile delivery frameworks (Scrum/Kanban).

Consulting & Behavioral Skills

• Excellent presentation and insight-sharing abilities, capable of explaining complex AI

outputs to diverse audiences.

• Professional, composed, and business-aware consulting demeanor.

• Strong collaboration and documentation discipline within Agile teams.

• Demonstrated curiosity and commitment to continuous learning and innovation.

• Self-driven, structured, and dependable under PMO governance.

• Master's degree in computer science, Data Science, or related field.

• 10+ years of professional experience, including 5+ years in AI/ML delivery.

• Prior experience in enterprise or industrial AI projects preferred.

• Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.

Location

Riyadh, Saudi Arabia

Experience

Job Type

Recruitment

Job Description

Position: Research Scientist Level.

Job requirements: 2 to 10 years of relevant experience after PhD.

Principal Duties:

• Manages and leads the development and administration of basic Medical Research and Human Clinical Trials Research Project; Conduct research and clinical investigations and execute planned experiments.

• Makes independent decisions on routine issues and recommend scientific approaches and solutions; Assist in the periodic assessment of ongoing laboratory research studies.

• Assists in seeking a progressive growth of investigative work by submitting proposals for extramural funding of stimulating investigative studies by other medical and research staff members, and by appropriate promotional efforts of the academic programs.

• Evaluates scientific, medical diagnostics, pathologists' research applications received from members of the KAIMRC staff and for improving the quality of research proposals prior to submission to the research council for review. · Safeguards the safety guidelines when dealing with laboratory materials.

• Trains junior researchers, technologists and other staff on new experiments, platforms, equipment and technologies

• Promotes teamwork, communications and sharing of information between projects in the domain of expertise;

• Participates in long-term planning of research activities or in the field; assist in the development of the Monthly, Quarterly, and Annual Research Center reports.

• Maintains the Research Laboratories in the Research Center based on higher specialty.

• Performs other job related duties as required.

Required Specialties:

• Cancer vaccines and Cancer Immunotherapy: Candidates required with PhD or equivalent with scientific background in cancer research, Experimental immunology (flow cytometry, immune assays, cell culture, scRNA), T cell immunology (human or mouse models), CRISPR gene-engineering of immune cells, single cell analyses, T cell exhaustion, and T cell receptor engineering, cancer genetics.

• Gene therapy: Candidates required with PhD. or equivalent with scientific background in genetics, gene therapy, cell transduction, cloning, mRNA technology platform, delivery vehicles (viral vectors, LNPs) CRISPR technology, molecular biology, single-cell analytics and bioinformatics.

• Cellular Therapy: Candidates required with PhD. or PhD/MD or equivalent with scientific background in cell transduction, viral vector development, CAR-T Cell therapy approaches, molecular and cellular biology, GMP processes.

• Infectious Diseases: Candidates required with PhD. or equivalent with scientific background in virology, including molecular virology, vaccine development, BSL3 experience and bacteriology including antimicrobial resistance (AMR), bacterial genomics and bioinformatics

• Proteomics: Candidates required with PhD. or equivalent with scientific background in Quantitative proteomics, system biology, mass spectrometry, molecular biology or chemistry.

- Bioequivalence and Pharmaceutical Products Analysis: Candidates required with MSc or PhD. or equivalent with scientific background in Pharmaceutical product analysis/ quality control/ methods of analysis development, Pharmacokinetics- Pharmacodynamics (PK-PD), Bioequivalence studies, chemistry, mass spectrometry.

• Biomedical Engineering: Candidates required with PhD. or equivalent with scientific background in medical devices Prototyping, medical/diagnostic Product development,, Medical and diagnostic devices engineering.

• Nanomedicine: Candidates required with PhD. or equivalent with scientific background in Nanoparticles synthesis and characterization, Molecular sensors for diagnostics, drug delivery and chemistry.

• Bioinformatics, computational biology and Data Science: Candidates required with PhD. or equivalent with scientific background in bioinformatics, data science, drug discovery, whole genome sequencing, machine learning and artificial intelligence.

• Biostatistics: Candidates required with PhD. or equivalent with scientific background in biostatistics, Clinical Trials, Survival Analysis, Statistical Sampling, Statistical Genetics, and experimental Design.

• Population health: Candidates required with PhD. or equivalent with scientific background in popRegistry development, surveillance based research, epidemiology , cancer population health.

• Bioethics: Candidates with PhD. with strong interest and experience in bioethics and prior experience contributing to or managing institutional review boards, including strong analytical research capabilities and ability to prepare research and ethics review reports.

• Clinical Trials: Candidates with PhD/MD with prior experience conducting clinical trials and managing multi-site clinical trials at the international level. Very good understanding and ability to prepare and review clinical trials study plans, monitoring and submission to regulatory agencies.

About The Role
We are looking for a passionate and curious
Data Scientist
to join our growing Data & AI team at Tarmeez Capital . As a fresh graduate, you will work on real-world problems involving
large language models (LLMs)
,
predictive analytics
, and
classical data science & machine learning techniques
. You will help build data-driven products that power business impacting insights, automation, and intelligent decision-making across our organization.

Key Responsibility

• Saudi National
• Collaborate with data engineers, analysts, and product teams to identify opportunities for data-driven impact.
• Apply statistical analysis, machine learning, and natural language processing to real business problems.
• Assist in fine-tuning and evaluating LLMs for use cases such as document understanding, classification, and financial analysis.
• Conduct exploratory data analysis (EDA), feature engineering, and model experimentation.
• Build and validate predictive models using classical algorithms (e.g., regression, clustering, tree-based models).
• Visualize findings and communicate actionable insights to non-technical stakeholders.
• Help deploy models and data services into production, and monitor their performance over time.
• Stay updated with the latest developments in AI, ML, and generative models, and propose innovative ways to apply them.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
• Strong knowledge of Python and common data science libraries like (pandas, numpy, etc.).
• Familiarity with LLMs and NLP frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI API, Cohere, Gemini, etc.).
• Basic understanding of machine learning concepts (classification, regression, clustering, evaluation metrics).
• Experience with SQL and data manipulation techniques.
• Exposure to data visualization tools such as Metabase, Power BI, or Tableau.
• Good understanding of statistics, probability, and data analysis techniques.
• Curiosity, problem-solving mindset, and willingness to learn new tools quickly.

Preferred Skills

• Knowledge of LLM fine-tuning or prompt engineering.
• Familiarity with Snowflake, Databricks, or any data warehouse .
• Basic experience with cloud platforms (GCP, AWS, or Azure).
• Understanding MLOps, Git, and version control.
• Coursework or projects in AI, deep learning, or data visualization.

Exceptions

All of the above can be ignored if you can demonstrate a
proven record of exceptional work
, through a
GitHub portfolio, research, or deployed projects
.