Trade Intelligence Analyst Intern – Government Analytics (Summer 2026)

Exiger•McLean, VA

15h•$25•Hybrid

About The Position

Exiger is seeking a highly analytical and mission-oriented Trade Intelligence Analyst Intern to support advanced analytics initiatives within our Government Solutions – Trade & Customs Compliance practice. Reporting to senior government delivery and analytics leaders, this intern will apply data science, trade analytics, and process automation techniques to help identify and prioritize complex trade risk patterns within large-scale shipment data. This is a full-time, paid internship designed for students interested in applying data analytics and AI to real-world trade enforcement and compliance challenges . The role is based in McLean, Virginia , and follows a hybrid work model with close collaboration across distributed government delivery teams. Exiger is a leading supply chain risk management (SCRM) software-as-a-service (SaaS) company, using data and AI to help organizations intelligently identify risk across global trade and supply chain ecosystems. Exiger’s mission is to make the world a safer and more transparent place to succeed. In 2025 , Exiger was named a Leader in the Gartner® Magic Quadrant™ for Supplier Risk Management Solutions and a Value Leader in the Spend Matters™ Fall 2025 Solution Map . Within Exiger, our Government Solutions teams deliver advanced analytics and AI-driven insights that support trade compliance, enforcement, and national security missions.

Requirements

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 concepts: schema design, ETL, testing, version control, and reproducibility
Understanding of modern analytics and AI practices, including feature engineering, model evaluation, and explainability
Strong written communication skills with the ability to translate technical findings into clear, decision-focused narratives
Comfortable working with complex, incomplete, and sensitive datasets in structured environments

Nice To Haves

Familiarity with trade compliance, logistics, supply chain, or sustainment data concepts
Experience with entity resolution, fuzzy matching, or record linkage techniques
Exposure to graph analytics and relationship-based risk analysis
Hands-on experience with data quality frameworks (e.g., Great Expectations or similar patterns)
Exposure to compliance-driven or secure data environments

Responsibilities

Apply data analytics and trade compliance logic to large, multi-source shipment datasets
Support the development of composite targeting and ranking methodologies that integrate shipment-level attributes, shipper behavior signals, and inferred data
Assist in refining and evaluating risk scoring frameworks , ensuring outputs are defensible, reproducible, and operationally usable
Analyze ranking shifts between analytical cycles and document the drivers behind changes
Support evaluation of HS code confidence and inference , assessing how data availability impacts signal strength and prioritization
Aggregate and analyze shipper behavior patterns to identify trade intermediaries and routing archetypes
Identify data gaps and quality issues and quantify their impact on analytical outcomes
Contribute to process documentation and analyst enablement materials , ensuring explainability and transparency
Collaborate with analysts and engineers to align outputs to real-world enforcement and prioritization workflows

Benefits

Valuable hands-on experience in a dynamic and supportive team
Mentorship from industry experts
Hybrid work environment with meaningful in-office collaboration
Hands-on experience working with our Government Delivery team
Dedicated mentorship and professional development opportunities
Exposure to real-world SaaS security, compliance, and risk management challenges
Inclusive, mission-driven culture focused on impact, learning, and growth
Networking Opportunities within the organization

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