Presales Data Science Intern

Teradata Operations-posted about 1 year ago
$41,600 - $56,160/Yr
Full-time • Intern
Little Rock, AR
Computer and Electronic Product Manufacturing
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The Teradata summer internship program offers students the opportunity to work collaboratively on meaningful projects that enhance their professional skills while contributing to the company's goals. Interns will engage with the Analytics and Data Science teams to tackle real-world business challenges using Teradata's Vantage Data and Analytics platform, focusing on AI/ML solutions.

  • Learn and use Teradata's Vantage Data and Analytics platform and Analytics tools to solve real enterprise level business challenges.
  • Work with Analytics and Data Science teams to engage with customer stakeholders to identify and document high impact business problems and potential AI/ML or GenAI solutions.
  • Participate in the Analytics 1,2,3 Methodology including Data Management, Model development and training, and Deployment and Management of the Analytics lifecycle.
  • Apply machine learning and/or statistical techniques and time series classification to specific business use cases using Python, R, and SQL.
  • Identify customer success criteria, key performance indicators, and establish strategies to deliver on these key points for analytic use cases.
  • Perform data mining analysis using educational background in data science.
  • Work with Analytic Specialists and Data Scientists to assess customer Analytic maturity and develop demos and POCs that demonstrate the value of the platform and AI/ML capabilities.
  • Engage directly with customers and prospects in the presales discovery, demonstrations, model, and POC development processes.
  • Must be enrolled in BS/MS/PhD Computer Science, Engineering, or other technical degree program, with a graduation date between December 2025-June 2027.
  • Strong data wrangling skills.
  • Strong Python or R and/or SQL skills.
  • Experience with other data manipulation platforms.
  • Experience with XML or SQL.
  • Curiosity and interest in listening and learning from both internal teams and customers.
  • Flexible work model
  • People-first culture
  • Focus on well-being
  • Commitment to Diversity, Equity, and Inclusion
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