Data Science Intern - Summer 2026

CACI International • Fort Collins, CO

23h • Onsite

About The Position

We are seeking a Data Science Intern to support the Foundation GEOINT division's AI/ML initiatives focused on computer vision and geospatial intelligence. This internship is designed for someone interested in applying deep learning and statistical methods to real-world remote sensing challenges. You'll work with satellite imagery and geospatial data to develop automated feature detection capabilities that support mapping and charting products for government customers. High-performing interns may have the opportunity to transition into a full-time data science role within Foundation GEOINT, with potential opportunities to also support the Mission & Engineering Support (M&ES) AI Expeditionary Team on customer-facing, mission-driven AI delivery.

Requirements

• Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Coursework or hands-on experience in AI/ML concepts (e.g., classification, clustering, deep learning, model evaluation, statistical inference), with exposure to image data or remote sensing data preferred.
• Working knowledge of Python for data analysis and machine learning.
• Willing to work onsite in Fort Collins and/or Denver, CO with possible hybrid schedule.
• Familiarity with at least one ML/DL library (e.g., PyTorch, TensorFlow, scikit-learn).
• Curiosity, strong problem-solving skills, and good communication and documentation habits.
• Willing and able to obtain a security clearance (TS-SCI) for potential transition to full-time role.

Nice To Haves

• Experience with computer vision tasks such as object detection, semantic segmentation, or image classification.
• Familiarity with computer vision toolsets (e.g., OpenCV, Torchvision, scikit-image, etc.).
• Familiarity with geospatial data formats (GeoTIFF, Shapefile, GeoJSON, etc.) and tools (GDAL, Rasterio, GeoPandas, QGIS, ArcGIS, etc.).
• Experience with annotation/labeling tools (e.g., CVAT, etc.).
• Experience with statistical modeling, experimental design, and model validation techniques.
• Understanding of uncertainty quantification and performance evaluation metrics for machine learning models.
• Working knowledge of containerization tools like Docker and orchestration platforms like Kubernetes for deploying and managing AI applications.
• AWS experience or certification.
• Experience with deployment/scaling of machine learning models in production environments.
• Experience with MLOps workflows and tools (e.g., Kubeflow, MLflow, Git-based version control).
• Prior internship/project experience delivering prototypes or research outcomes to stakeholders.
• Working knowledge with databases such as PostgreSQL, MySQL, MongoDB, and NoSQL databases.
• Experience designing, documenting, and debugging analytical pipelines and machine learning workflows.

Responsibilities

• Work within a small data science team to support an organization that produces mapping and charting products.
• Assist in developing and evaluating deep learning models for computer vision-based feature extraction.
• Work with overhead imagery and geospatial datasets to support automated feature detection pipelines.
• Support annotation, preprocessing, and dataset curation workflows for training computer vision models.
• Help assess model performance across diverse imagery conditions and support iterative improvement.
• Document assumptions, experiment results, and recommendations in a way that makes the work repeatable and transferable.
• Help translate technical findings into practical next steps for productization or mission integration.

Benefits

• Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
• We offer competitive compensation, benefits and learning and development opportunities.
• Our broad and competitive mix of benefits options is designed to support and protect employees and their families.
• At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern