CACI International Inc · 16 hours ago
Supply Chain Data Analyst Intern - Summer 2026
CACI International Inc is currently seeking a summer 2026 intern for a Supply Chain Data Analyst opportunity. This role involves supporting documentation tasks for data projects, developing innovative solutions through data analysis, and collaborating with a team to leverage machine learning technologies for business efficiency.
Information TechnologyService IndustrySoftware
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
Qualification
Required
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
Preferred
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)
Benefits
Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Company
CACI International Inc
At CACI International Inc (NYSE: CACI), our 25,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security.
Funding
Current Stage
Public CompanyTotal Funding
$1B2025-05-21Post Ipo Debt· $1B
2003-01-10IPO
Leadership Team
Recent News
Washington Technology
2026-01-25
2026-01-22
Company data provided by crunchbase