KAUST 2026 – Data Science Internship Opportunities
InternJob Overview
About the role
This posting covers multiple Data Science internship functions: FOCAL, OSOS, and Solutions. Each function has a slightly different focus, but all internships share the opportunity to gain hands-on experience with real AI and data science projects, work closely with experienced data scientists, and contribute to real-world impact.
OSOS – Data Science Intern
- Focus: Natural Language Processing (NLP), Large Language Models (LLMs), and exposure to pretraining and fine-tuning models.
- Requirements: Basic Python skills, interest in NLP and LLMs, Arabic language proficiency (preferred), and foundational understanding of machine learning and AI concepts.
- Responsibilities: Support NLP model experimentation, assist with data preparation and analysis, help with LLM-related tasks, collaborate with team members, and document findings.
FOCAL – Data Science Intern
- Focus: Data-driven insights, statistical analysis, and machine learning to support product and strategic decision-making.
- Requirements: Currently pursuing or recently completed a Bachelor’s degree in a relevant field, basic proficiency in Python/R/SQL, strong analytical thinking, and good communication skills.
- Responsibilities: Assist with data analysis and modeling, support experimentation, collaborate with product and engineering teams, and contribute to business and product insights.
Solutions – Data Science Intern
- Focus: Data analysis, applied machine learning use cases, and supporting the deployment of AI solutions in client-facing environments.
- Requirements: Bachelor’s degree (or in progress) in a relevant field, basic programming skills in Python/R/SQL, familiarity with data analysis concepts, and interest in applied data science.
- Responsibilities: Support data preprocessing and quality checks, assist with ML models and visualizations, communicate results, and contribute to solution-oriented data science projects.
Qualifications
- Bachelor’s degree (or in progress) in Statistics, Mathematics, Computer Science, Data Science, or a related field
- Strong analytical and problem-solving skills
- Passion for AI, data science, and learning through hands-on experience
- Ability to work collaboratively and communicate insights effectively
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 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.
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