1

Data Science Fall Internship Jobs in Ohio (NOW HIRING)

Anticipated award is fall of 2026. Duties May Include: * Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and ...

Anticipated award is fall of 2026. Duties May Include: * Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and ...

Anticipated award is fall of 2026. Duties May Include: * Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and ...

next page

Showing results 1-20

Data Science Fall Internship information

See Ohio salary details

$9

$21

$39

How much do data science fall internship jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for data science fall internship in Ohio is $21.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $23.41 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

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

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What cities in Ohio are hiring for Data Science Fall Internship jobs? Cities in Ohio with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Ohio as of June 2026, with employment types broken down into 66% Full Time, 17% Temporary, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $44,404 per year, or $21.3 per hour.

Catastrophe Modeling & Data Analytics Intern (Fall 2026)

Great American Insurance Group

Cincinnati, OH

Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

Are you a data-driven problem solver looking to explore the world of catastrophe modeling? Our Reinsurance Division is offering an exciting internship opportunity for individuals eager to learn and contribute to real-world projects in a supportive team environment. This internship offers hands-on experience with real-world projects that support our catastrophe modeling, data engineering, and visualization efforts.

What You'll Work On

You'll collaborate with experienced modelers and analysts on projects such as:

Modeling & Geospatial Analysis

  • Learn to use modeling software to evaluate catastrophe risk.

  • Run analyses and identify high-risk catastrophe regions.


SQL & Data Engineering

  • Update and maintain databases, tables, queries and processes in SQL.

  • Review, update and maintain data engineering code in Python.

  • Consolidate and clean up redundant reference tables across multiple databases.


Visualization & Reporting

  • Create Tableau/Power BI dashboards.

  • Map wildfire, hurricane, convective storm, and earthquake events for visual insights.


Process Optimization

  • Help streamline repeatable modeling processes.

  • Learn and apply Python for automation and data prep tasks.

  • Collaborate with teams to share tools and insights.

What We're Looking For

  • Currently pursuing a degree in Mathematics, Statistics, Data Science, Risk Management, or a related field.

  • Proficient with Excel and a willingness to learn SQL, Tableau, Power BI and Python.

  • Looking for someone who is detail-oriented, curious, and an effective communicator to join our collaborative team.

Business Unit:

Reinsurance

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.


What Great American Insurance Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom