Presales Data Science Intern

Teradata Operations-posted about 1 year ago
$41,600 - $56,160/Yr
Full-time • Intern
Montpelier, VT
Computer and Electronic Product Manufacturing
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The Presales Data Science Intern at Teradata is a summer internship role designed for students pursuing a degree in Computer Science, Engineering, or a related technical field. The intern will engage with the Analytics and Data Science teams to solve real enterprise-level business challenges using Teradata's Vantage Data and Analytics platform. This position offers an opportunity to work on meaningful projects, develop professional skills, and collaborate with experienced professionals in a supportive environment.

  • 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
  • Focus on well-being
  • Commitment to Diversity, Equity, and Inclusion
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