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Envita Solutions

Data Scientist Intern - Applied AI

Applied Machine LearningUpdated on Nov 13
Internship · Summer 2026Indianapolis, IN, USA$18 - $21 /hr

About the Job

Requirements

  • A high school diploma or equivalent is required.
  • Preferred candidates are college sophomores, juniors, seniors, recent graduates, or first- or second-year master's students majoring in Computer Science, Data Science, AI/ML, Statistics/Mathematics, or a related field in progress.
  • Coursework, projects, or internships specializing in Computer Science, Mathematics, Machine Learning, or AI are preferred.
  • Familiarity with data manipulation and visualization tools, including NumPy, pandas, seaborn, and Plotly.
  • Academic, internship, or project-based experience with machine learning frameworks such as scikit-learn, SciPy, TensorFlow, or PyTorch.
  • Working knowledge of SQL and comfort working with messy, real-world data.
  • Proficiency in Python, R, or an equivalent language for machine learning and data analysis scripting.
  • A strong understanding of AI/ML concepts and practical applications in business contexts.
  • Ability to make an in-office commute.

Responsibilities

  • Follow health and safety policies and processes and act safely.
  • Collect, clean, transform, and analyze structured and unstructured datasets to support AI and automation initiatives.
  • Conduct product exploratory data analysis and deliver trends and insights to technical and non-technical audiences.
  • Fine-tune and evaluate machine learning models for classification, regression, forecasting, and anomaly detection.
  • Deliver proof-of-concept models and automation workflows that demonstrate measurable value.
  • Partner with technology and business transformation teams to contribute to and understand the end-to-end data lifecycle.
  • Stay current on AI/ML trends and recommend tools and methods that could benefit Envita's operations.
  • Gain practical experience in AI, from data analysis to workflow deployment.
  • Apply data science in business contexts, including sustainability and operational efficiency.
  • Collaborate with product, strategy, and technology leaders on digital initiatives.
  • Perform additional duties and responsibilities as assigned.

Desired Qualifications

  • Experience using generative AI models and prompt engineering techniques.
  • Experience with code versioning tools such as Git/GitHub, SVN, or equivalent.
  • Experience with code containerization using Docker.

About the Company

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