Summer 2027 - Data Science Intern (R6324)
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.
Skills
As published by lever · 24 questions · 7 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website
Short answers (6)
- Please state your full legal name:
- If you selected Other, please specify below:
- When did you begin your current degree program? Please answer in MM/YYYY format (e.g. 08/2022)
- When do you expect to complete your current degree program? Please answer in MM/YYYY format (e.g. 08/2022)
- If you selected Other, please specify below: optional
- If you selected Other above, please specify below: optional
Pick from a list (11)
- Are you authorized to work in the United States?
- Will you require sponsorship for employment now or in the future?
- This position may require access to information and technology that is subject to export controls, such as EAR. Are you any of the following?
- How did you hear about us?
- Shield AI provides technology, services, and support to the United States military and allied forces with their various missions. If selected for employment with Shield AI, your contributions will directly relate to and/or support these missions. Are there any reasons why you would not be able to fully contribute in support of the U.S. military and allied forces?
- If you are currently enrolled in or have graduated from a university within the past 24 months, what is your current or final GPA?
- Current school or university: optional
- What degree are you currently pursuing?
- Which degrees have you already completed, if any? Select all that apply. optional
- Are you a member of any of the following student groups? optional
- Which of our office(s) would you be willing to work from/relocate to? Select all that apply
Written answers (7)
- If yes, what type of sponsorship? optional
- If you selected "A protected Individual" OR "Other" to the above question, please explain further. optional
- If "Industry Conference" or "Other," please provide more details: optional
- (Optional) If you selected other or would like to expand on the above, feel free to do so below: optional
- Optional Comments on GPA optional
- Tell us about your two strongest technical accomplishments from school or past internships. Choose examples that best showcase your technical depth and make the case for why you'd be a great fit at Shield AI. optional
- Shield AI's mission is to protect service members and civilians with intelligent systems, and our values center on doing what honor dictates, leading as a servant, and pursuing excellence. Which of these resonates most with you, and how has it shown up in your own work, studies, or life experiences? optional
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