ZipRecruiter

Log In

1

Internship Data Science Intern Jobs in Indiana (NOW HIRING)

Ivy Tech

Data Analyst Intern

Indianapolis, IN · On-site

$15/hr

Actively pursuing a college credential, preferably in Computer Science, Data Analytics, Software ... This internship can continue until the student's graduation, depending on performance and ...

Ivy Tech

Data Analyst Intern

Indianapolis, IN · Hybrid

$15/hr

Actively pursuing a college credential, preferably in Computer Science, Data Analytics, Software ... This internship can continue until the student's graduation, depending on performance and ...

mti

Quality Internship

Auburn, IN · On-site

$15.75 - $20.25/hr

... data entry intense. The Quality Intern will be given various foundry related improvement projects ... Science, Engineering degree. * Must have completed the freshman year in the major program of study

Metal Technologies

Quality Internship

Auburn, IN · On-site

$15.75 - $20.25/hr

... data entry intense. The Quality Intern will be given various foundry related improvement projects ... Science, Engineering degree. * Must have completed the freshman year in the major program of study

Zentis North America LLC

R&D Intern

Plymouth, IN · On-site

This internship offers a hands-on opportunity to contribute to the development of innovative fruit ... The R&D intern will work closely with scientists and technicians in cooking experimental prototypes.

next page

Showing results 1-20

All JobsData Science Intern JobsInternship Data Science Intern JobsInternship Data Science Intern Jobs in Indiana

Internship Data Science Intern information

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you generally need a foundation in statistics, programming (such as Python or R), and data analysis, often demonstrated through coursework or relevant projects. Experience with tools like Jupyter Notebooks, SQL databases, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow) is highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help interns translate data insights and collaborate with diverse teams. These skills are crucial for contributing meaningful analysis, learning quickly, and supporting data-driven decision-making in a professional environment.

What does a Data Science Intern do?

A Data Science Intern assists experienced data scientists with tasks such as collecting, cleaning, and analyzing data to uncover patterns and insights. They often work on real-world datasets, build predictive models, and create data visualizations to support business decisions. Interns gain hands-on experience with tools like Python, R, SQL, and machine learning libraries, while learning about the data science workflow in a professional environment. The role helps bridge academic knowledge and industry practices, preparing interns for future roles in data science.

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

AspectInternship Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentHands-on projects involving data modeling, machine learning, and programmingData cleaning, visualization, and reporting tasks
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, marketing sectors
Search & Comparison IntentUnderstanding roles involving data science techniques and toolsRoles focused on data interpretation and reporting

The Internship Data Science Intern typically focuses on developing machine learning models and working with complex data sets, while the Data Analyst Intern concentrates on analyzing data to generate reports and insights. Both roles require analytical skills but differ in technical depth and project scope.

What types of projects do Data Science Interns typically work on during their internship?

Data Science Interns often contribute to real-world projects such as data cleaning, exploratory data analysis, building predictive models, and visualizing results to support business decisions. Interns may work on tasks like preparing datasets, automating data pipelines, or assisting with the evaluation of machine learning algorithms under the guidance of senior data scientists. These projects provide hands-on experience with industry-standard tools and allow interns to collaborate closely with cross-functional teams, such as engineering and product, to solve practical business challenges.
What cities in Indiana are hiring for Internship Data Science Intern jobs? Cities in Indiana with the most Internship Data Science Intern job openings:
Internship Data Science Intern jobs near you
Artificial Intelligence (AI) Internship - Hybrid Remote

Artificial Intelligence (AI) Internship - Hybrid Remote

Hoosier Energy

Bloomington, IN • Hybrid

Full-time

Posted 2 days ago

Job description

Are you looking to gain valuable, hands-on experience with an Artificial Intelligence (AI) internship? Hoosier Energy is offering a paid internship through August 2026 with the possibility of extension. We are seeking an organized, self-motivated college student to join our team.

The internship schedule will be Monday-Friday, up to 40 hours per week, with the days and hours being flexible based upon intern availability. Hybrid work is also an option.

Position Summary 

The AI Intern will support Hoosier Energy’s efforts to leverage artificial intelligence for operational and business efficiency. This role involves assisting with AI model evaluation, data preparation, application integration, and documentation while adhering to Hoosier Energy’s AI usage policies and governance standards. 

Key Responsibilities

  • Assist in developing and testing AI models for predictive maintenance, cybersecurity anomaly detection, and data-driven decision-making.
  • Support integration of AI tools (e.g., Microsoft Copilot, generative AI platforms) into business workflows under supervision.
  • Prepare datasets for AI training, ensuring compliance with data governance and privacy standards.
  • Document AI use cases, workflows, and risk assessments in alignment with Hoosier Energy’s AI Policy.
  • Collaborate with Technology Governance Committee on AI product assessments and vendor evaluations.
  • Monitor AI outputs for accuracy and reliability; ensure human review of all deliverables (“Human in the Loop”).
  • Research emerging AI trends and provide recommendations for safe and effective adoption.

Qualifications

  • Currently a Junior level or above college student pursuing a degree in Informatics, Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Cybersecurity, or related field.
  • Familiarity with machine learning concepts, large language models, and generative AI.
  • Strong analytical and problem-solving skills; attention to detail in compliance-driven environments.
  • Basic programming skills (Python preferred) and understanding of data privacy principles.

Compliance & Ethics

  • Must adhere to Hoosier Energy’s AI Policy, including restrictions on sensitive data, intellectual property, and privacy.
  • All AI-generated work must undergo human review before finalization.

About Hoosier Energy: Hoosier Energy is a generation and transmission cooperative providing wholesale power and services to 17-member distribution cooperatives across central and southern Indiana and southeastern Illinois. Headquartered in Bloomington, Indiana, we serve over 700,000 consumers across a service area of 15,000 square miles.

Apply today to enhance your skills and take the next step in your professional development!

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.

Apply