Supply Chain Data Analyst Intern - Summer 2026

CACI • Reston, VA

8h • Hybrid

About The Position

CACI is currently seeking a summer 2026 intern for a Supply Chain Data Analyst opportunity. This position will be hybrid, with core hours from 9 a.m. to 5 p.m. Candidates must be located in the Reston, VA area to participate in team activities and summer internship events.

Requirements

• Knowledge of using a variety of machine learning techniques: linear regression, logistic regression, random forests, gradient boosting, neural networks, natural language processing, clustering, and classification algorithms.
• Python programming experience
• Experience with SQL and other various non-SQL databases and object stores
• Analytical, organizational and data management skills
• Ability to conduct in-depth data analyses to assist in validating business assumptions and investigating issues.
• A firm understanding of database concepts and entity relationships
• Ability to interact professionally with a diverse group of managers, and subject matter experts
• Must currently be enrolled in an undergraduate program pursuing a Data Science, Computer Science, Mathematics, Statistics, Economics, Business or related degree
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Nice To Haves

• Minimum GPA of 3.0 or higher is preferred, not required
• Experience in Power BI
• Previous internship/co-op or other work experience, leadership and teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular)

Responsibilities

• Support documentation tasks for data projects and dashboards. These will include codebooks, SOP's, code in Git, and how to materials.
• Develop custom solutions to help the businesses drive growth and optimize business efficiency.
• Develop innovative solutions driven by exploratory data analysis using multiple datasets and leveraging machine learning technologies and advanced techniques.
• Supporting report design and data modeling in Power BI.
• You will bring your expertise, curiosity, innovation, and customer centric approach to employ a variety of programming languages and tools for data integrations, transforming the data into database views and creating custom, repeatable predictive models.
• You will be part of a collaborative team working on various tasks such as developing machine learning models, leveraging large language models, analyzing data sets, and creating data visualizations.
• Responsible for innovative data and business solutions by applying your knowledge of statistics, machine learning, programming, data modeling, visualization, and advanced mathematics to recognize patterns and identify opportunities.
• Use an agile, analytical approach to design, develop, and evaluate descriptive and predictive models and advanced algorithms on both structured and unstructured data.
• Effectively consult and communicate with senior leaders of the results of the data models.
• Use a combination of tools, software languages, and Python libraries to develop ML algorithms to analyze huge volumes of historical data, run tests, perform statistical analyses, interpret results, and document machine learning processes.
• Be able to review data diagrams to understand entity relationships and data values that define uniqueness, analyze data to confirm relationships and identify potential data quality issues.
• Use critical thinking to assess deficiencies in existing solutions and provide recommendations for improvements.

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