Data Practitioner Intern (3 - 6 Month Internship)

Join Aily, a fast-growing AI company, as a Data Practitioner Intern. In this role, you will support the development and maintenance of data infrastructure, work with Python to process and manipulate datasets, and collaborate with various teams to ensure data availability and reliability. This internship offers a hybrid working model, a global company culture, and the opportunity for fast growth. Ideal candidates are students or recent graduates with a strong interest in data engineering and AI systems.

• Support the development and maintenance of data pipelines and ETL processes, and assist in implementing data transformations and quality checks.
• Collaborate with Data Engineers, Data Scientists, and ML Engineers to ensure data availability and reliability, and contribute to monitoring and improving data workflows.
• Learn and work with modern data stack tools, and gain hands-on experience in building and maintaining the data infrastructure that powers Aily’s AI platform.

• We are looking for students or recent graduates who want to gain hands-on experience as a Data Practitioner within a fast-growing AI company
• This internship is designed for individuals who are passionate about data, enjoy solving technical problems, and want to learn how scalable data systems are built in real production environments
• Currently studying or recently graduated (Bachelor’s or Master’s) in Computer Science, Information Systems, Software Engineering, or a related field
• Proactive, hands-on attitude and strong problem-solving skills
• Strong interest in Data Engineering, data infrastructure, and AI systems
• Solid foundational knowledge of Python
• Analytical mindset and willingness to learn in a fast-paced environment
• Advanced level of English (spoken and written)
• Curious and motivated students who want real-world experience building scalable data systems that power AI at enterprise scale. If you are excited about learning, contributing, and growing within a high-impact AI environment, we would love to hear from you