About
The Data & Analytics Internship gives students the opportunity to work inside a modernizing analytics organization focused on data science, analytics engineering, machine learning, data quality, and enterprise-scale reporting.
As part of America's Group D&A team, whose purpose is to enable data-informed decisions across the enterprise, you'll help build the future state of our analytics capabilities, including governed data marts, predictive modeling, AI-ready datasets, and scalable insights.
This internship is designed for students who are excited about data science + engineering, not traditional finance.
What You'll Do
As a D&A Intern, you will collaborate with the team across projects involving:
Analytics Engineering & Data Preparation
Clean, transform, and structure large-scale datasets for analysis and machine learning Build or support data pipelines using SQL, Python, and/or Alteryx Assist in creating AI-ready, modular dataset outputs aligned with our evolving data mart and governance framework Machine Learning & Predictive Modeling
Support feature engineering, model evaluation, and performance tracking Help design experiments or evaluate historical behavioral trends (e.g., vehicle, buyer/seller, conversion, pricing) Explore methods for anomaly detection, forecasting, and model explainability Visualization & Insights
Build analytical dashboards and reporting assets using Tableau Cloud or Power BI Translate patterns and model outputs into insights for operational and financial teams Data Governance, Quality & Documentation
Contribute to data quality checks, lineage documentation, and definition consistency across the enterprise Support the rollout of a business glossary and certified D&A datasets Collaboration & Learning
Work with analysts, developers, and data scientists to deliver actionable insights Participate in weekly analytics huddles, standups, and innovation discussions What You'll Gain
Real-world experience in enterprise data science & analytics engineering Direct exposure to the D&A strategic vision: predictive analytics, AI adoption, self-service enablement, and modern data governance Mentorship from analysts, developers, and data scientists Ownership of meaningful projects that contribute to our 2026 analytics roadmap A portfolio of production-style work that goes beyond typical academic exercises Requirements
Minimum Requirements
Currently pursuing a Bachelor's or Master's degree in: Data Science, Computer Science, Information Systems, Statistics, Mathematics, Analytics, Engineering, or related technical field Comfortable with Python and/or SQL through coursework or projects Basic understanding of statistics, data wrangling, or machine learning concepts Strong analytical thinking and attention to detail Ability to work in the Indianapolis/Carmel area for the duration of the internship Excellent written and verbal communication skills Demonstrated intellectual curiosity and willingness to learn new tools quickly Preferred Requirements
Experience or coursework in:
Python (pandas, scikit-learn, numpy), R, or similar SQL databases and relational modeling Machine learning fundamentals or academic ML projects Data visualization tools (Tableau, Power BI, or Looker) Cloud tools or APIs
Familiarity with version control (Git), pipelines, or workflow tools (e.g., Alteryx) Prior internship, project, or research experience in analytics, data engineering, or data science Interest in applied AI, automation, or predictive analytics (RAG, embeddings, LLM workflows is a bonus, not required)
Languages
- English
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