Data Scientist - Geospatial and Remote Sensing (Summer Internship - Master's)

About the role

Join BAM’s Commodities Data Science team for a hands-on, 10-week summer internship applying geospatial analytics, remote sensing, machine learning, and AI to investment problems. You will develop data products, models, pipelines, and decision-support outputs using alternative datasets, while receiving initial business training, mentorship, and exposure to global Commodities Investment Teams.

Responsibilities

• Apply structured and alternative data to commercially relevant problems for Commodities Investment Teams.
• Analyze satellite and aerial imagery, GPS mobility, meteorological and hydrological data, crop yields, and other spatial datasets.
• Build, validate, and improve statistical and machine-learning models and signals.
• Create insights through visualizations, dashboards, and concise written outputs for technical and non-technical audiences.
• Develop reliable data pipelines and datasets, then deploy and maintain products with cloud-native architecture in mind.
• Translate investment needs into analytical solutions and communicate results to senior stakeholders.

Program and Training

• Complete a hands-on, 10-week program focused on complex, real-world data science and AI problems.
• Begin with training covering the Commodities business and investment process before joining the desk.
• Receive mentorship from senior team members, collaborate with peers, and build relationships across the intern cohort.

Location

• Opportunities are available in BAM’s New York office.