Logo of Huzzle

Data & AI Intern



1mo ago

  • Internship
    Off-cycle Internship
  • Data
  • Dallas

AI generated summary

  • You need 6 months of ML experience, a quantitative degree or equivalent experience, proficiency in R/Python/SQL, and data sourcing skills for this Data & AI Intern role at Copart. Experience with neural networks, data visualization, and supervised/unsupervised modeling is a must.
  • You will develop predictive models, ensure data quality, and collaborate with teams to implement and monitor AI solutions. Advocate for data science to the leadership team.


  • 6 Months of experience (relevant academic internships & projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques.
  • Bachelor or Master's degree in highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Proficiency in either R or Python
  • Proficiency in data sourcing/manipulation in SQL
  • Bachelor or Master's degree in highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance
  • Strong data visualization skills using open source tools (plotly, ggplot2, shiny)
  • Experience with both supervised and unsupervised modeling techniques


  • Develop new predictive models using advanced techniques
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model and other analysis prior to presenting with internal customers
  • Coordinate with different functional teams to operationalize, and monitor machine learning solutions
  • Apply statistical methodologies such as cluster and regression analysis, if necessary.
  • Act as a proponent of data science/analytics to senior leadership and others by being able to explain the benefits of machine learning, and other techniques.

Copart is a global leader in online car auctions, and a premier destination for the resale and remarketing of vehicles.

Manufacturing & Electronics
Founded Year

Mission & Purpose

Copart, a global online auto auction company headquartered in Dallas, Texas is a top-performing S&P 500 company, as noted by The Wall Street Journal. Copart is a global technology leader in the online vehicle auction industry that connects its buyers and sellers via its patented cutting-edge VB3 technology. With a passion for excellence, Copart has a great company culture and strong dedication to our employees. Copart is a veteran-founded company that honors the service of active & reserve duty employees. Copart’s veteran commitments include Leadership Development Programs, tuition reimbursement, and up to 10 days of paid leave for non-activation orders like training. Founded in 1982, Copart connects more than 750,000 buyers and sellers from over 200 locations around the world. With our innovative technology, we remarket salvage and clean title vehicles to dealers, dismantlers, rebuilders, exporters and end users through a multi-channel online internet platform. Copart sells vehicles on behalf of insurance companies, banks, finance companies, fleet owners, car dealerships, cars sourced from the general public and others. Because we are a 100% online auto auction company, Copart Members can browse our incredible inventory, set their own price and get great deals on vehicles through their home computer, smartphone or other mobile device. Copart’s vehicles can range in condition from damaged vehicles that can be used as rebuild projects to like-new, used vehicles. Copart is the parent company to a portfolio of auto service companies, including CashForCars.com, CrashedToys, and National Powersport Auctions (NPA). We currently operate in the United States (Copart.com), Canada (Copart.ca), the United Kingdom (Copart.co.uk), the Republic of Ireland (Copart.ie), Brazil (Copart.com.br), Germany (Copart.de), the United Arab Emirates, Oman and Bahrain (Copartmea.com), Spain (Copart.es), and Finland (copart.fi).