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Data Science Intern Jobs in Indiana (NOW HIRING)

Health Data Science/AI Associate

Indianapolis, IN ยท On-site

$56K - $56K/yr

  • Life

  • Retirement

  • PTO

POSITION PURPOSE Working alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical ...

Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

Expert Data Scientist

Indianapolis, IN ยท On-site

$129 - $240/hr

Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

New

Data Scientist

Fishers, IN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Scientist

Indianapolis, IN ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Data Scientist, DePuy Synthes

Warsaw, IN ยท On-site

  • Retirement

  • PTO

Data Science Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Palm Beach Gardens, Florida, United States of America, Raynham, Massachusetts, United States of America, Warsaw, Indiana ...

Showing results 21-40

Data Science Intern information

See Indiana salary details

$11

$21

$40

How much do data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science intern in Indiana is $21.41, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.32 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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 need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

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

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

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

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

Infographic showing various Data Science Intern job openings in Indiana as of August 2026, with employment types broken down into 40% Internship, 35% Full Time, 17% Part Time, 4% Contract, and 4% Nights. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $44,542 per year, or $21.4 per hour.

Health Data Science/AI Associate

RR

Indianapolis, IN โ€ข On-site

$56K - $56K/yr

Full-time

Life, Retirement, PTO

Posted 9 days ago


Job description

POSITION PURPOSE
Working alongside experienced data engineers, analysts, investigators, and scientists, associates contribute directly to meaningful research projects while developing technical expertise, professional skills, and an understanding of modern health data science.
Projects are selected to align with each extern's strengths, interests, and career goals while providing opportunities to expand knowledge across cloud computing, AI, data engineering, clinical data analysis, and health informatics.
New graduates and early-career professionals are strongly encouraged to apply. Prior professional experience is welcomed but not required. This is a six-month role, with the possibility to extend to a second six-month period.
This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Under the guidance of supervisors and scientific mentors, the extern may:
  • Participate as an active member of multidisciplinary project teams supporting health research initiatives.
  • Assist with the engineering, preparation, transformation, and analysis of large clinical and administrative datasets.
  • Develop and maintain SQL and Python code to support data extraction, integration, quality improvement, and analytics.
  • Contribute to cloud-based data engineering initiatives supporting AI-ready infrastructure.
  • Assist in implementing and improving data pipelines, workflows, and automated processes.
  • Support the development, evaluation, and responsible use of AI-enabled tools that improve research and operational efficiency.
  • Work with health data standards and common data models, including concepts such as OMOP and HL7/FHIR.
  • Participate in data validation, quality assurance, and documentation activities to ensure reproducibility and integrity.
  • Prepare technical documentation, process documentation, and project summaries.
  • Present project updates and findings to mentors, supervisors, and project teams.
  • Participate in team meetings, knowledge-sharing activities, and professional development opportunities.
  • Demonstrate appropriate stewardship of sensitive health information while adhering to security, privacy, and compliance requirements.
  • Perform other related duties as assigned.

QUALIFICATIONS
Required Education
Requires at least a Bachelor's degree in one of the following (or a closely related field):
  • Data Science
  • Health or Biomedical Informatics
  • Computer Science
  • Data Engineering
  • Statistics
  • Information Science
  • Applied Mathematics
  • Related quantitative discipline

Required Qualifications
  • Coursework, academic research, internships, or project experience involving programming, data analysis, AI, or data science.
  • Basic proficiency with SQL, Python, or another programming language.
  • Demonstrated analytical thinking and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with mentors, scientists, engineers, analysts, and project teams.
  • Ability to prepare technical documentation and communicate technical concepts clearly.
  • Intellectual curiosity, initiative, and willingness to learn new technologies.
  • Commitment to protecting confidential and sensitive health information.

PREFERRED QUALIFICATIONS
Preference may be given to candidates with exposure to one or more of the following:
  • Cloud computing platforms
  • Machine learning or artificial intelligence
  • Clinical or healthcare data
  • Data visualization tools
  • Git or source code management
  • Health data standards such as OMOP, HL7, or FHIR

CORE COMPETENCIES
Successful externs demonstrate:
  • Learning Agility
  • Analytical Thinking
  • Collaboration
  • Communication
  • Accountability
  • Curiosity and Innovation
  • Professionalism
  • Adaptability
  • Continuous Improvement

PHYSICAL DEMANDS
The physical demands described here are representative of those an individual can expect while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Ability to sit and/or stand for extended periods.
  • Manual dexterity sufficient to operate a computer, keyboard, and related office equipment.
  • Occasional lifting or carrying of materials weighing up to 20 pounds.

WORK ENVIRONMENT
This position operates in a hybrid work environment, combining remote work with on-site work at Regenstrief Institute facilities. Externs collaborate regularly with supervisors, mentors, researchers, and technical staff using both in-person and virtual collaboration tools.
BENEFITS OF WORKING HERE
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness

Please note sponsorship and/or relocation are not available for this position.
REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.