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HSB - Hartford Steam Boiler Logo

Data Science Intern

HSB - Hartford Steam Boiler

Salary not specified
Nov 4, 2025
Hartford, CT, United States of America
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HSB's Data Science team is looking to leverage large-scale machine learning projects to support its insurance, engineering, or technology solutions business areas, aiming for product and process optimization.

Requirements

  • Strong programming experience with Python/R/SQL, with the ability to write well-documented production-level code.
  • Practical knowledge & experience with statistical methods
  • Strong analytical and problem-solving skills; ability to work creatively in problem solving environment.
  • Basic software engineering skills (Git, API, Docker Container, DevOps best practices)
  • Experience with Spark and distributed computing is a plus.
  • Experience with Azure cloud development is a plus.
  • Experience with learning frameworks such as PyTorch or Tensorflow is a plus.

Responsibilities

  • work with HSB’s Data Science team on large scale machine learning projects supporting one of our major business areas (insurance, engineering or technology solutions).
  • The ideal candidate is adept at using large data sets to find opportunities for product and process optimization.
  • Strong programming experience with Python/R/SQL, with the ability to write well-documented production-level code.
  • Practical knowledge & experience with statistical methods
  • Strong analytical and problem-solving skills; ability to work creatively in problem solving environment.
  • Basic software engineering skills (Git, API, Docker Container, DevOps best practices)
  • Experience developing or experimenting with generative AI models (ex. LLMs) and associated utilties/workflows is a plus.

Other

  • MS or PhD Student in Statistics, Computer Science, Mathematics, Physics, Electrical Engineering or a related applied science with a heavy quantitative emphasis.
  • Exceptional undergraduate students will also be considered.
  • Available to start the internship in May 2026 and work a hybrid schedule in the Hartford, CT Office
  • Gain hands on experience.
  • Meet and gain insights from the Senior Leadership Team as well as other leaders and professionals in the organization to develop lasting professional relationships.