AI Technology Intern supporting strategic initiatives and AI - enabled projects in a corporate environment. Gaining hands - on experience while working closely with cross - functional teams to drive business outcomes.
About the role
- AI Consultant in a small AI team delivering data-science solutions for real-world problems. Collaborating with clients and stakeholders to develop impactful models and technical solutions.
Responsibilities
- Working in a small, lean, highly capable AI team you’ll play a central role in developing traditional AI and data‑science‑led solutions for real‑world problems.
- Building and iterating on data‑science models to solve complex business challenges
- Exploring and proposing technical solutions, especially when documentation is limited or problems are not well‑defined
- Contributing clean, well‑structured code to shared repositories, following good coding and version‑control practices
- Collaborating with stakeholders and presenting insights clearly, ensuring technical outputs are understandable and actionable
- Demonstrating strong problem‑solving ability by independently navigating ambiguous or novel technical challenges
- Delivering high‑quality traditional AI or data‑science models that align with client needs
- Communicating confidently and clearly about your technical decisions, approach, and results in stakeholder discussions
- Becoming a trusted partner within a lean, fast‑moving team that relies heavily on autonomy and critical thinking
Requirements
- 3–5 years of relevant experience delivering technical solutions end‑to‑end
- A strong mathematics or quantitative background (essential for model development)
- Solid programming skills in Python, SQL and Snowflake
- Experience building traditional AI or data‑science models (e.g., forecasting, segmentation, classical ML techniques)
- Excellent communication skills with demonstrated experience explaining complex concepts clearly and confidently to technical and non‑technical audiences
- A self‑starter mentality, comfortable defining your own process and working in startup‑like environments
- Nice‑to‑have: Exposure to agentic or Gen AI systems
- Experience building neural networks, transformers, or LLM‑based architectures
Benefits
- A steep learning curve and therefore fast progression opportunities
- Exposure to world-class clients and cutting-edge data technologies
- The chance to become a named resource that clients request directly
- Variety - projects, industries, tech stacks, and real room to make an impact
- A supportive, collaborative environment where strong contributors thrive
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