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Applied Science Intern Jobs in Indiana (NOW HIRING)

Crowe LLP

Machine Learning Intern

South Bend, IN · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Anomaly detection using deep neural networks Numerical optimization applied to problems in ...

Crowe LLP

Machine Learning Intern

Indianapolis, IN

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Anomaly detection using deep neural networks Numerical optimization applied to problems in ...

Crowe LLP

Machine Learning Intern

Fort Wayne, IN

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... Anomaly detection using deep neural networks Numerical optimization applied to problems in ...

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All JobsApplied Science Intern JobsApplied Science Intern Jobs in Indiana

Applied Science Intern information

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How much do applied science intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for applied science intern in Indiana is $23.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.20 and $24.11 per hour, depending on experience, location, and employer.

What does an applied science intern do?

An Applied Science Intern typically works on research and development projects that involve applying scientific and quantitative methods to solve real-world problems. Their tasks may include data analysis, building machine learning models, conducting experiments, and collaborating with engineers or scientists to develop innovative solutions. Interns often gain hands-on experience with advanced technologies and tools while contributing to impactful projects within a company or research lab.

What are the key skills and qualifications needed to thrive as an applied science intern?

To thrive as an Applied Science Intern, you need a solid background in mathematics, statistics, and programming, typically supported by coursework or a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (such as Python, R, or MATLAB), machine learning frameworks, and cloud platforms is often required. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills are vital for contributing to research-driven projects, interpreting complex data, and collaborating efficiently with multidisciplinary teams.

What types of projects do applied science interns typically work on, and how much independence is expected?

Applied Science Interns usually contribute to research-driven projects that involve data analysis, algorithm development, or building prototypes to solve real business problems. While interns often collaborate closely with experienced scientists, they are also expected to take initiative, perform independent research, and present their findings to the team. Regular check-ins and mentorship are common, but you'll be encouraged to bring fresh ideas and drive small-scale experiments or analyses on your own. This balance of guidance and autonomy helps interns gain practical experience and prepares them for future full-time roles.

What is the difference between Applied Science Intern vs Research Intern?

AspectApplied Science InternResearch Intern
Required CredentialsTypically pursuing or holding a degree in applied sciences, engineering, or related fieldsUsually students or recent graduates in science, engineering, or related disciplines
Work EnvironmentHands-on, practical projects in labs, manufacturing, or industry settingsLaboratory, academic, or theoretical research environments
Employer & Industry UsageIndustries like manufacturing, technology, and engineering firmsUniversities, research institutes, and R&D departments

Applied Science Interns focus on applying scientific principles to real-world projects within industry settings, while Research Interns typically work on theoretical or experimental research in academic or research institutions. Both roles require a background in science or engineering but differ mainly in their work environment and project focus.

What are the most commonly searched types of Applied Science jobs in Indiana?

The most popular types of Applied Science jobs in Indiana are:

What cities in Indiana are hiring for Applied Science Intern jobs?

Cities in Indiana with the most Applied Science Intern job openings:

Applied Science Intern jobs near you
Infographic showing various Applied Science Intern job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $49,728 per year, or $23.9 per hour.

Student | Data Science Intern - Mendoza Research Team

University of Notre Dame

Notre Dame, IN • On-site

$15/hr

Full-time, Internship

Posted 14 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

336th of 627 rated colleges and universities

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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