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Seasonal Data Science Intern Jobs in Indiana (NOW HIRING)

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Seasonal Data Science Intern information

What is the difference between Seasonal Data Science Intern vs Data Analyst Intern?

AspectSeasonal Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or holding a degree in data science, statistics, or related fieldUsually pursuing or holding a degree in data analysis, statistics, or related field
Work EnvironmentTemporary, project-based roles often during peak seasons or academic breaksTemporary or internship roles focused on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, retail, and consulting industries for seasonal projectsCommon across various industries including marketing, finance, and healthcare

The Seasonal Data Science Intern and Data Analyst Intern roles share similarities in educational background and work environment, often serving as entry points for students. The key difference lies in focus: data science interns typically work on predictive modeling and machine learning tasks, while data analyst interns focus on data interpretation and reporting. Both roles are valuable for gaining industry experience during specific seasons or academic breaks.

What cities in Indiana are hiring for Seasonal Data Science Intern jobs?

Cities in Indiana with the most Seasonal Data Science Intern job openings:

Infographic showing various Seasonal Data Science Intern job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Student | Data Science Intern -- Mendoza Research Team

Notre Dame, IN


University of Notre Dame
Colleges, Universities, and Professional Schools • 5 - 10K employees

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

335th of 623 rated colleges and universities

Great coworkers

People enjoy working here

Good employer


Full-time, Internship

Posted 8 days ago


Job description

Company Description

The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

About the Role The Mendoza Research Team provides the technical and quantitative backbone for faculty research across Accountancy, Finance, IT Analytics & Operations (ITAO), Marketing, and Management & Organization (MNO).

As a Research Data Science Intern, you will work directly alongside our team of full-time data scientists to support active, high-impact faculty research projects. This is a hands-on, highly collaborative role designed to offer direct mentorship, build your applied technical toolkit, and give you real-world experience in data pipelines and statistical modeling.

Key Responsibilities

  • Data Engineering & Preparation: Clean, merge, and validate complex research datasets, including financial/market data, administrative records, survey results, and web-scraped data.
  • Statistical Modeling: Assist in building, testing, and refining statistical and machine learning models.
  • Code Optimization & Reproducibility: Write clean, reproducible code using standard data science languages (primarily Python and R).
  • Data Visualization: Design intuitive charts, plots, and summary tables to communicate findings effectively.
  • Documentation & Version Control: Maintain clear documentation, data dictionaries, and organized code repositories using Git workflows.
  • Faculty Collaboration: Participate in team check-ins and contribute to technical discussions with faculty researchers.

What We Are Looking For:

  • Currently enrolled Higher Education student in good academic standing.
  • Proficiency in Python or R for data manipulation and analysis.
  • Familiarity with data cleaning, basic statistical methods, and visualization tools.
  • Strong attention to detail and an interest in academic or quantitative research.
  • Experience with Git/GitHub, SQL, or web scraping is a plus, but not required.
Qualifications

Required:

  • Currently enrolled undergraduate student, any major
  • Coursework in statistics, econometrics, computer science, or analytics
  • Working proficiency in Python or R
  • Comfortable with (or eager to learn) tools like SAS, SQL, and Git
  • Strong attention to detail and ability to follow data handling/confidentiality protocols
  • Available for 15-20 hours/week

Preferred:

  • Coursework in machine learning, causal inference, or experimental design
  • Experience with large or messy real-world datasets
  • Prior research assistant experience

How to Apply:

Please submit:

  1. A current resume/CV
  2. A brief cover note (a few sentences on why you’re interested and any relevant coursework or projects)
  3. An unofficial transcript
  4. (Optional) A code sample or class project you’re proud of

Additional Information
  • Compensation: Starting at $15/hour
  • Location: On-campus
  • Hours: 15-20 hours/week during the academic term. We will work to structure your schedule around your academic requirements.
  • Duration: Starting Fall 2026

This position is accepting applications until September 2, 2026.

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.



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