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Internship Python Data Science Jobs in Indiana (NOW HIRING)

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... Python and C++. Collect business intelligence data from available industry reports, public ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... Python and C++. Collect business intelligence data from available industry reports, public ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... Python and C++. Collect business intelligence data from available industry reports, public ...

Munich Re

Data Scientist, AI

Indianapolis, IN · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

New

Munich Re

Data Scientist, AI

Fishers, IN · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

New

Deloitte

Data Scientist

Indianapolis, IN · On-site

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

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Internship Python Data Science information

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Indiana? The most popular types of Python Data Science jobs in Indiana are:
What are popular job titles related to Internship Python Data Science jobs in Indiana? For Internship Python Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Indiana look for? The top searched job categories for Internship Python Data Science jobs in Indiana are:
What cities in Indiana are hiring for Internship Python Data Science jobs? Cities in Indiana with the most Internship Python Data Science job openings:
Internship Python Data Science jobs near you
Indiana Pacers Basketball Analytics Intern - Fall 2026

Indiana Pacers Basketball Analytics Intern - Fall 2026

Pacers Sports & Entertainment

Indianapolis, IN • On-site

$14.25 - $19/hr

Internship

Posted 6 days ago

Job description

Internship Term: Fall 2026 (September- December)
Internship Location: on-site in Indianapolis, IN
Anticipated Time Commitment: approximately 40 hours per week
Pacers Sports & Entertainment is seeking a Basketball Analytics Intern who will work directly with the Indiana Pacers analytics team in support of the front office, training staff, and coaching staff. The overall focus will be on helping improve existing data science and data engineering projects, developing new tools, and maintaining current analytics infrastructure. Experience in sports is not required, but applicants should be passionate about basketball and the data industry.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
  • Develop internal software tools for use by the front office and coaching staff, including but not limited to new reports, predictive models, or data engineering pipelines.
  • Gather, clean, store, manage, and integrate data from a variety of sources.
  • Assist in the creation of both standardized reports and ad-hoc analyses.
  • Maintain and extend our existing analytics infrastructure.
  • Innovate across all aspects of basketball operations including coaching, scouting, and performance analytics.
  • Communicate results to the basketball operations staff through presentations, written reports, and tools.
  • Assist with compiling statistics/data and reporting for the Indiana Pacers and Noblesville Boom.
  • Collaborate on team projects and work autonomously on individual work.
  • Assisting with game night responsibilities as needed.
  • Other duties and projects as assigned.

REQUIRED QUALIFICATIONS:
  • Enrolled in a college or university program as a junior, senior, or graduate student.
  • Demonstrated data programming experience (Python and SQL) either in data science, data engineering, or data analysis.
  • Proficient in Microsoft Office applications (Excel, Word, PowerBI).
  • Strong organizational skills with a robust attention to detail in regards both to checking data and visual presentation of deliverables.
  • Excellent communication skills and a desire to learn more both about the basketball industry and data analytics' impact on the game.
  • Highly motivated and dependable.

DESIRED QUALIFICATIONS:
  • Interest in basketball and familiarity with basketball terminology and analytics is a plus.
  • Basic knowledge of version control systems like Git.
  • Experience with statistical analysis and machine learning techniques (eg, regression/modeling, clustering, hypothesis testing, categorical data analysis), commonly used statistics packages in R or Python, data visualization, and data collection methods.
  • Experience in HTML, CSS, and JavaScript for creating responsive and interactive user interfaces.
  • Familiarity with AI tools (e.g., ChatGPT, Claude) and an interest in applying LLMs to streamline research and analysis

To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
COMPUTER SKILLS:
Strong knowledge of Microsoft Office, Python, as well as the ability to a learn and utilize new computer programs quickly and efficiently.
REASONING ABILITY:
Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret directions and technical diagrams.
PROBLEM SOLVING REQUIREMENTS:
Ability to deal with various internal and external constituents to solve problems and deliver projects on time with accuracy, professionalism and with outstanding customer service.
PHYSICAL AND ENVIRONMENTAL DEMANDS:
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit, stand, walk, use a computer, use a telephone, speak, hear, and write.
While performing the duties of this job, the noise level in the office work environment is usually moderate and the noise level in the Fieldhouse / game environment is usually loud. The stress level may become high during certain times of the year.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, gender identity, marital status, disability status, protected veteran status, or any other characteristic protected by law.

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