Artificial Intelligence Intern

About the Role

We're looking for a motivated AI Intern to join our team and support the design, development, and deployment of AI-driven tools and solutions. This is a hands-on opportunity to work alongside experienced engineers and analysts on real projects, gaining exposure to the full lifecycle of applied AI from data preparation to model integration and reporting.

What You'll Do

• Assist in building, testing, and refining AI/ML models and prompts for practical business use cases
• Support integration of AI tools into existing workflows and reporting systems
• Help clean, organize, and analyze datasets to support model development
• Collaborate with cross-functional teams to identify opportunities for automation and AI-driven efficiency
• Document processes, experiments, and findings clearly for technical and non-technical stakeholders
• Research emerging AI tools, frameworks, and best practices, and share findings with the team
• Support ad hoc analysis and prototyping tasks as needed

What We're Looking For

• Currently pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, Engineering, or a related field
• Basic understanding of machine learning concepts and/or large language models
• Familiarity with Python (or willingness to learn quickly)
• Exposure to tools such as pandas, scikit-learn, or LLM APIs (e.g., OpenAI, Anthropic) is a plus
• Strong analytical thinking and problem-solving skills
• Good communication skills — able to explain technical concepts simply
• Curious, self-driven, and comfortable working in a fast-paced environment
• Prior coursework, personal projects, or hackathon experience with AI/ML is a plus but not required

Nice to Have

• Experience with data visualization tools (Excel, Power BI, or similar)
• Familiarity with version control (Git)
• Interest in applying AI to business/programme reporting or operational workflows

What You'll Gain

• Real-world experience building and deploying AI solutions
• Mentorship from experienced engineers and analysts
• Exposure to enterprise-scale projects and cross-functional collaboration
• A strong foundation for a career in AI/ML or data science