Data Science Internship

Data Science Internship

Job Type Preferred    Data Science

Job Location              Pittsburgh, Pennsylvania

Job Level                    Undergraduate Student Employment

Start Date                    Any

Job Title                      Data Science Intern

Job Description         

PSC is a national leader in converged artificial intelligence (AI), big data, and high-performance computing (HPC). Complementing PSC’s broad portfolio of activities, we engage with academic and private-sector researchers to develop innovative solutions across the sciences, engineering, and business, using futuristic technologies that are uniquely available at PSC.


Data Science Interns will collaborate with PSC’s AI & Big Data group and the principal investigator of PSC’s Bridges system to analyze and produce data science tools for working with production data from a national HPC system.

Responsibilities will be matched to the strongest applicants. Examples include:

  • Implement strategies for wrangling Big Data into forms amenable to analysis.
  • Apply artificial intelligence (AI) to reveal important factors affecting user experience and system performance.
  • Develop interactive dashboards for analysts and leadership to visualize and work with the data.
  • Work with specific research projects to add data analytic and dashboard capabilities.

Our internships offer the opportunity to:

  • Gain valuable experience and knowledge in data science, AI, Big Data, and research.
  • Network with leaders in academia and industry to form valuable relationships.
  • Publish in peer-reviewed journals and at prominent conferences.

Job Requirements      Successful candidates will have the following:

  • Candidates must be pursuing an undergraduate (bachelor’s) degree. Examples of relevant majors are computer science, statistics, or any major with a significant computational/programming component.
  • Proficiency with relational databases. Optional: proficiency with NoSQL databases.
  • Ability to develop interactive dashboards using D3, Plotly, Jupyter, or other visualization tools for the web.
  • Proficiency with Linux: shells, editors, building applications, etc.
  • Familiarity with Python programming and package installation.
  • Excellent communication skills and ability to work in a team environment.
  • Excellent problem-solving skills and creativity.

Starting                        Immediately or summer.

Duration                       Immediately through summer or summer, with potential for extension.

Positions Available    1-2

Salary Information      Hourly rate

Work Period                Up to 37.5 hours per week during the summer, and up to 20 hours per week during the academic year.

Student Employment Undergraduate students

Minimum QPA             3.0/4.0

How to Apply:           

Submit a short statement to Robin Scibek ( in the form of a cover letter to describe why you are qualified for the job and your interests along with a current resume.