Data Science Intern (R6324)
Shieldai
About the Role
Summer 2027 - Data Science Intern (R6324) at Shield AI.
Key Responsibilities
- 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.
Requirements & Tech Stack
- 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.