Application Deadline: September 15th, 11:59pm EST

Program Overview Video

Castleton Commodities International (CCI) is a leading global commodities merchant with a diverse range of activities that includes physical trading, logistics, and asset management. We are at the forefront of data management and analytics, which are integral to our investment platform.

Position Overview: 

We are seeking a motivated and detail-oriented Summer Intern to join our Global Data Science team and contribute to our Generative AI initiatives. The ideal candidate will possess a strong technical foundation, a keen interest in commodities markets, and a passion for Data Science and AI. This internship offers a unique opportunity to gain hands-on experience in developing generative AI tools, collaborating with various teams, and contributing to projects with significant commercial impact.

Responsibilities:

• Assist in the development and execution of a strategic roadmap for integrating generative AI technologies into the firm's trading operations.
• Collaborate with analysts and technologists to support the delivery of AI-driven projects.
• Contribute to ensuring the scalability, reliability, and robustness of generative AI tools in a production environment.
• Help build and maintain scalable data pipelines and architectures to support data ingestion and processing.
• Participate in managing projects, data cataloging, and metadata for the Generative AI initiative.
• Work closely with traders, analysts, and other stakeholders to translate business needs into technical solutions.
• Communicate complex AI concepts and outcomes to non-technical stakeholders in a clear and concise manner.
• Stay up to date on the latest advancements in generative AI, identifying opportunities for innovation.
• Foster a culture of continuous learning and improvement.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Expected graduation date of Winter 2025 or Spring/Summer 2026
• Strong programming skills in Python.
• Familiarity with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
• Basic understanding of generative AI concepts and tools (e.g., LLMs, ChatGPT, RAG, Fine-tuning, Foundation Models).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• A proactive and collaborative mindset, with a willingness to learn and take on new challenges.