Defense Sustainment Integration Intern (Summer 2026)

Exiger
United States, Alabama, Huntsville
Mar 01, 2026
Who We Are: Exiger transforms supply chains into a strategic advantage-advancing our mission to make the world a safer and more transparent place to succeed. OurAI platform, 1Exiger, delivers instant visibility into complex supplier ecosystems, leveraging proprietary data and advanced AI to surface risk, automate compliance, and unlock efficiencies and cost savings to strengthen long-term resilience. Trusted by 550+ global customers-including Fortune 500 companies and U.S. government agencies-Exiger is a recognized, award-winning leader in supply chain AI and a FedRAMP authorized provider to the federal government. Defense Sustainment Integration Intern - Government Analytics (Summer 2026) Location: Huntsville, AL (Hybrid) Duration: June 15, 2026 - August 21, 2026 Pay Rate: $25/hour Role Summary: Exiger is seeking a highly capable and mission-driven Defense Sustainment Integration Intern to support advanced analytics and AI initiatives within our Government Solutions - Defense Sustainment Integration team. Reporting to senior government delivery leaders, this intern will apply modern computer science, data analytics, and AI techniques to complex supply chain risk and sustainment challenges in support of national security and operational readiness missions. This is a full-time, paid internship designed for students who want to work on operationally relevant, high-impact analytics in a structured, compliance-driven environment. The role is based in Huntsville, Alabama, following a hybrid model that supports collaboration with distributed government delivery teams. What You'll Do: As a Defense Sustainment Integration Intern, you will contribute directly to analytics and AI initiatives that improve readiness, resilience, and risk visibility across defense sustainment ecosystems. Responsibilities include: Apply data engineering and analytics techniques to transform complex, multi-source datasets into decision-ready outputs Build and maintain data pipelines (ETL/ELT) with automated validation, logging, traceability, and reproducibility Implement data quality checks and monitoring to ensure completeness, consistency, and reliability of analytics outputs Support entity resolution and record linkage efforts to produce high-confidence "golden records" for suppliers, parts, and facilities Develop relationship and network views that illuminate dependencies, tiers, chokepoints, and concentration risk across supply chains Assist in building risk indicators and early-warning signals that surface potential sustainment disruptions Prototype analytics or AI approaches for risk scoring, anomaly detection, and alerting, with clear and explainable rationale Produce dashboards, notebooks, and short decision-oriented briefs aligned to real-world sustainment workflows Document methods, assumptions, and results to ensure explainability, auditability, and operational usability Collaborate closely with engineers, analysts, and delivery leaders to align analytics outputs with mission needs Example project areas may include: Supplier and manufacturer entity resolution with confidence scoring Supply chain relationship graphs identifying shared dependencies and chokepoints Early-warning indicators combining lead-time shifts, adverse events, and dependency risk Data quality "flight deck" dashboards supporting sustainment analytics platforms What You Need: Currently pursuing a BS or MS in Computer Science, Data Analytics/Data Science, AI/ML, or a related field Strong programming skills in Python (data wrangling, validation, ML workflows) and SQL (joins, window functions, performance fundamentals) Experience with core data engineering concepts: schema design, ETL, testing, version control, and reproducibility Understanding of modern analytics and AI practices, including feature engineering, model evaluation, and explainability Ability to translate technical findings into clear, decision-focused written narratives Comfortable working in structured, compliance-oriented environments with sensitive data Preferred Experience (Not Required): Exposure to supply chain, logistics, sustainment, or acquisition data concepts Experience with entity resolution, fuzzy matching, or record linkage techniques Familiarity with graph analytics (e.g., NetworkX, Neo4j) and relationship-based risk analysis Experience with data quality frameworks (e.g., Great Expectations or similar patterns) Exposure to secure development practices and controlled data environments Why Intern with Us: Paid, full-time 10-week Summer Internship Hybrid work model supporting collaboration with distributed delivery teams Hands-on experience applying AI and analytics to mission-critical sustainment challenges Mentorship from senior government delivery, analytics, and engineering leaders Exposure to real-world, operational decision-making environments Inclusive, mission-driven culture focused on rigor, learning, and impact Networking opportunities across Exiger's Government Solutions organization #Li-hybrid This is a hybrid position based in Huntsville, AL. The pay rate is $25.00 /hour. Exiger is named a Leader in the GartnerMagic Quadrant for Supplier Risk Management, twice selected as one of Fast Company's 'Brands That Matter,' and recipient of the Third Party Risk Association's Innovator Award, Exiger's technology has been recognized by leading analyst evaluations and 50+ awards. Learn more atExiger.comand follow Exiger onLinkedIn. At Exiger, our values define how we work and why we lead. We are mission-inspired, imagination-driven, trust-anchored, and compassion-focused-committed to building technology that makes the world safer, more transparent, and more resilient. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.