Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Our Summer Internship program is a wonderful opportunity for Fall and Spring graduates to immerse themselves in an innovative and mission driven culture. Our paid internship program will provide you with hands on mentorship, an opportunity to add real contribution to our company via your internship project, and a possible job offer at the end. You will have the chance to make lifelong friendships, expand your network, and learn all about what it's like to work in a high-growth, fast scaling tech unicorn. You'll take part in company sponsored events and enjoy exploring a new city. Read on below to learn more about this unique internship!
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Shield AI is proud to offer competitive pay and a housing stipend for qualified hires. While our People Experience team provides resources and assistance, interns are responsible to find their own housing and travel to and from their office location.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
What you'll do
Assess financial and operational data for predictive readiness, identifying useful drivers and material gaps.
Build baseline and machine-learning forecasts for a focused Finance use case.
Evaluate accuracy, stability, and explainability using appropriate backtesting.
Prepare model outputs for Anaplan consumption and demonstrate an integration prototype with the team.
Recommend the data, monitoring, and review practices needed to support reliable forecast updates.
Present findings and deliver documented, reproducible work that informs the next stage of development.
Required qualifications
Pursuing a Bachelor's or Master's degree in data science, statistics, computer science, applied mathematics, economics, or a related field.
Coursework or project experience with Python, SQL, statistics, and predictive modeling.
Ability to assess data quality and communicate model assumptions and limitations.
Preferred qualifications
Experience with time-series forecasting, feature engineering, or model evaluation.
Familiarity with Databricks, financial data, or enterprise planning.
Interest in integrating machine learning into practical business workflows.
Strong curiosity, collaboration, and problem-solving skills.