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AI/ML Data Science Intern

Logo of HP



1mo ago

🚀 Summer Internship

San Diego +1

⌛ Closed
Applications are closed

Summer Internship

Data•San Diego, Palo Alto


  • This internship is with the Marketing Data Sciences team at HP Inc.


  • Obtaining a BS or MS; preferably in Computer Science, Engineering, Statistics, Math or a similar STEM field
  • Knowledge and Skills:
  • Strong knowledge of ML and Deep Learning in the context of LLMs, NLPs and chatbots
  • Strong Python programming skills (PyTorch/TensorFlow, Pandas, NumPy, Matplotlib, creating functions)
  • Strong SQL and database skills
  • Strong data analysis skills and ability to extract and key business insights
  • Strong knowledge of marketing principles, practices, tactics and tools preferred
  • Self-motivated with strong problem-solving skills and ability to work independently
  • Good English written/oral communication and presentation skills
  • Strong collaboration skills

Education requirements

Currently Studying

Area of Responsibilities



  • This individual will be responsible for helping the team to shape its AI/ML strategy, specifically through the creation of AI models, such as Large Language models (LLMs) and Natural Language Processing (NLP), for Marketing. Marketers are tasked with combing through tons of research and data to find appropriate insights; there is oftentimes too much information and too little time. This individual will provide Marketers with curated AI/ML tools that help them to have the right information at the right time to make the best decisions.
  • The ideal internship candidate should have strong problem solving, technical and analytical skills. This individual will be expected to work with various corporate data assets, be proficient in data modeling and visualization, utilize multiple data analysis tools, and work across multiple teams to help solve marketing decision problems.  This is a fantastic opportunity to be part of cutting-edge AI work that enables Marketing to drive innovation and business growth.


Work type

Full time

Work mode



San Diego, Palo Alto