Intern Data Scientist and Analyst (On-site)

About the Role

We are seeking an Intern Data Scientist and Analyst to join our team in Dubai, UAE. This is an on-site position designed for individuals who are eager to learn and grow in the fields of data analysis and machine learning. As an intern, you will participate in a hands-on bootcamp and work on real projects across multiple teams. This role offers a unique opportunity to enhance your skills while contributing to impactful projects.

Responsibilities

• Participate in hands-on bootcamp and real projects across multiple teams.
• Build analytical tools and machine learning models to support business objectives.
• Improve visibility in user sign-up flows and operational funnels.
• Enhance and maintain data infrastructure including ETLs and LookML.
• Collaborate with teams across Operations, Growth, and Product.
• Support decision-making with ad-hoc analysis and reporting.
• Manage tasks, track progress, and communicate key outcomes effectively.

Requirements

• Predicted or achieved 2:1 (or equivalent) in computer science, maths, physics, or related field.
• Graduated in 2025, 2026, or 2027.
• Fluency in English (C1 level) and excellent communication skills.
• Full-time availability from early or late 2027.
• Knowledge of Python, SQL, mathematics, and statistics.
• Familiarity with data analysis and machine learning concepts.
• Interest in analytics engineering or product analytics is a plus.

Benefits

Joining our team offers numerous benefits, including:

• Hands-on experience with real-world data projects.
• Mentorship from experienced professionals in the field.
• Opportunities for career growth and development.
• Networking opportunities within the tech community.
• Competitive internship compensation.

For more information about our company culture and values, visit our About Us page. If you're interested in exploring other roles, check out our Jobs section. For insights on salaries, visit our Salaries page.

• Predicted or achieved 2:1 (or equivalent) in relevant field.
• Graduated in 2025, 2026, or 2027.
• Fluency in English (C1 level).
• Full-time availability from early or late 2027.
• Knowledge of Python and SQL.
• Understanding of statistics and data analysis.
• Interest in machine learning concepts.

• Participate in hands-on bootcamp and real projects.
• Build analytical tools and machine learning models.
• Improve user sign-up flows and operational funnels.
• Maintain data infrastructure including ETLs and LookML.
• Collaborate with Operations, Growth, and Product teams.
• Support decision-making with ad-hoc analysis.
• Track progress and communicate key outcomes.