Data Science Intern (R6324)

About the Role

Shield AI is seeking a Data Science Intern to assess data readiness and develop predictive forecasting capabilities for Anaplan. Working with Finance and engineering mentors, you will build and evaluate models, then prepare their outputs for integration into existing planning models. Your work will advance the vision of an autonomous, continuously updated forecast that reduces preparation effort and gives the executive team and board access to current, governed projections.

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.
• Experience with time-series forecasting, feature engineering, or model evaluation (Preferred).
• Familiarity with Databricks, financial data, or enterprise planning (Preferred).
• Interest in integrating machine learning into practical business workflows (Preferred).
• Strong curiosity, collaboration, and problem-solving skills (Preferred).