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Data Science Fall Internship Jobs in Ohio (NOW HIRING)

Proctor & Gamble

$109K - $131K/yr

Procter & Gamble is looking for interns interested in various roles within the data and analytics ... In the process of obtaining a Bachelor's in Computer Science, Computer Engineering, Data ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

KeyBank

... Data Science, System Administration, Industrial Engineering, Statistics/ Mathematics, or related ... KeyBank's Internship and Analyst positions are not eligible for employment visa sponsorship (e.g ...

Crowe LLP

Machine Learning Intern

Columbus, OH · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

Cleveland, OH · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

The Scotts Company LLC

Weed Scientist

Marysville, OH · On-site

$77K - $90K/yr

D. in Weed Science is preferred or a related field (agronomy, soil science, etc) is required ... interns). The starting budgeted pay range for this role will generally fall between $77,200.00 ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Ohio

Data Science Fall Internship information

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

As of Sep 12, 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 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 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 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 are popular job titles related to Data Science Fall Internship jobs in Ohio?

For Data Science Fall Internship jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Science Fall Internship jobs in Ohio look for?

The top searched job categories for Data Science Fall Internship jobs in Ohio are:

What cities in Ohio are hiring for Data Science Fall Internship jobs?

Cities in Ohio with the most Data Science Fall Internship job openings:

Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Ohio as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,404 per year, or $21.3 per hour.

Product Data Decision Science Intern

Van Wert, OH • On-site

Central Mutual Insurance Company
Insurance Services • 501 - 1,000 employees
Learn more about Central Mutual Insurance Companyexternal

Internship

Posted 14 days ago

Key responsibilities

  • Apply statistical and analytics techniques to complete a project from start to finish.

  • Generate and validate SQL queries to gather data for hypothesis testing.

  • Perform exploratory data analysis to identify patterns and support discovery.

Job description

At Central, we believe an internship should be more than completing busy work. We invest in our interns to give them the opportunities needed to grow, nurture and develop their whole self. Why? Because we believe excellence is gained from experience.
Central's internship program is customized to each internship placement. The program provides members with dedicated time to gain first-hand experience while solving unique business problems. It's strategically designed to provide diverse exposures throughout the organization, to allow you to learn from our experts and collaborate with teams that do incredible work.
Each internship will be different; however, at its core, the program consists of the following opportunities:
  • Immersive experiences in challenging and meaningful work with built-in continuous learning opportunities
  • Direct impact on work that matters and opportunities to affect successful outcomes and drive corporate objectives
  • Gain the skills and knowledge to become a future trailblazer
  • Build a lasting professional network through events and activities

Data Scientist Internship
  • Apply statistical and analytics techniques to charter a project from start to finish
  • Generate and validate SQL queries to pull together disparate data for hypothesis testing
  • Perform exploratory data analysis to unlock patterns and promote discovery
  • Move from EDA to modeling with the capability to generate predictions
  • Leverage best practices in data visualization to communicate findings and distribute learnings throughout the organization through data story-telling

Ready to dive in? Ideal candidates for this program are:
  • Naturally curious and ask a lot of questions
  • Interest in learning the ins-and-outs of the insurance industry
  • Capable of coding in either R or Python
  • Knowledge and experience building standard predictive modeling techniques including: linear and non-linear models, regression analyses, machine learning methods (decision trees, XG Boosted trees, neural networks, cluster analysis (KNN), feature selection, etc.), forecasting, time series analysis, survival analysis, and causal impact analyses
  • Capable of writing SQL queries to generate datasets
  • M.S. Students in Statistics, Mathematics, Economics, Computer Science, Engineering or a similarly related field desired

Next Steps
  • Applications Accepted: Through January 2027, or until all positions are filled
  • Interviews & Offers: Conducted and extended on a rolling basis
  • Internship Dates: May-August 2027, aligning with summer break

Candidates are encouraged to apply early. The job posting will close once all internship positions have been filled.
Work Authorization
Central will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
It is the policy of Central that all recruiting, hiring, training, compensation, overtime, job classification and assignment, facilities, promotions, transfers, employee treatment and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability. The applicant should respond to questions on this application in a way that will not divulge such information.

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