Summer 2027 Data Science Intern
Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.
Funding history
Investors
About Shield AI
Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will assess financial and operational data for predictive readiness, identify useful drivers and gaps, and build baseline and machine-learning forecasts. You will evaluate accuracy, stability, and explainability through backtesting, prepare model outputs for Anaplan, demonstrate an integration prototype, and document reproducible work and forecast-monitoring recommendations.
Requirements
- 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.
Responsibilities
- Assess financial and operational data for predictive readiness.
- Build baseline and machine-learning forecasts for a Finance use case.
- Evaluate accuracy, stability, and explainability through backtesting.
- Prepare model outputs for Anaplan and demonstrate an integration prototype.
- Recommend data, monitoring, and review practices for reliable forecast updates.
- Present findings and deliver documented, reproducible work.
Benefits
- Paid internship
- Housing stipend
- Company-sponsored events
