Logo of Huzzle


• Starts Jun 10

Data Science Intern

Logo of Cadent


1mo ago

🚀 Summer Internship


AI generated summary

  • You need to be a Master’s student in computer science, skilled in Python SQL, Shell scripting, Docker, and Cloud data processing. Strong software engineering background, statistical knowledge, and great communication skills are essential. Be motivated, eager to learn, and collaborative.
  • You will utilize Python, SQL, and Cloud technologies to work on research assignments, collaborate with the engineering team, present findings, and participate in Agile meetings at Cadent.

Summer Internship



  • As we continue to grow, we’re looking for a Data Science Intern to join our Data Science team for Summer 2024. The Intern will have an opportunity to gain hands-on experience by working directly with our teams, not for them.
  • The Intern will also spend the spring on an individual project customized to their specific skill set which they’ll present to our Tech Leadership team at the end of the program. Details of the projects and timeline will be laid out by supervisors at the beginning of the program.


  • A senior pursuing a Master’s degree at a college or university majoring in a field closely related to the department they are interning preferably computer science or related field
  • Able to commit to a full-time (35-40 hours per week) work schedule between June 11, 2024 – August 16, 2024.
  • Proficient in Python SQL, and Shell scripting, with some knowledge Docker containerization and Cloud data processing technologies
  • Background in software engineering and knowledge of statistical concepts
  • Excellent verbal and written communicators
  • Self-motivated with a desire to learn from a rapidly growing company
  • Confident to take initiative and collaborate with teammates

Education requirements

Currently Studying

Area of Responsibilities



  • The Intern will be responsible for fulfilling tasks set out by supervisors from the specific department they’re working in, including but not limited to:
  • Use Python, SQL, Shell scripting, and Cloud technologies and other department-specific software to complete day-to-day R&D assignments. *Python experience is required*
  • Collaborate effectively with other members of the engineering research team and broader data services group including but not limited to Data Scientists, Data Engineers, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts
  • Conduct research and present findings to the MLE team and business stakeholders
  • Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings.


Work type

Full time

Work mode


Start date

Jun 10, 2024




  • Competitive pay
  • College credit (if applicable)
  • Intern development activities
  • Summer outings
  • Lunch & Learns within each field