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Data Science Fall Internship Jobs in Ohio (NOW HIRING)

Omya

Data Scientist Fall Co-Op 2026

Cincinnati, OH · On-site

Required : • Currently enrolled in an accredited college or university, pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • 0-3 years of experience ...

New

Kroger

Fall 2026 Finance-Supply Chain

Blue Ash, OH · On-site

$17.25 - $23.25/hr

The Kroger Fall Internship Program is a 12 week immersive experience that offers students an ... Science, or Operations Management * Manage multiple supply chain projects while adhering to ...

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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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$39

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

As of Jul 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 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 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 July 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.

Data Scientist Fall Co-Op 2026

Omya

Cincinnati, OH • On-site

Full-time

Posted 6 days ago

New

Job description

Job Summary:
Omya is seeking a motivated and analytical Data Scientist Coop student to join their team. The role involves working closely with scientists and senior data scientists to analyze large datasets, build predictive models, and generate actionable insights that support business decisions.
Responsibilities:
• Collect, clean, and preprocess data from various sources.
• Perform exploratory data analysis to identify trends and patterns.
• Assist in developing and deploying machine learning models.
• Create dashboards and visualizations to communicate findings.
• Collaborate with stakeholders to understand business needs and translate them into data solutions.
• Document methodologies and maintain reproducible workflows.
• Stay updated on the latest data science tools and techniques.
Qualifications:
Required:
• Currently enrolled in an accredited college or university, pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 0-3 years of experience in a similar role.
• Proficiency in Python or R.
• Proficiency in SQL.
• Familiarity with data visualization tools (e.g., Power BI, matplotlib, seaborn).
• Understanding of statistical methods and machine learning algorithms.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
Company:
Omya is a leading global producer of calcium carbonate and a worldwide distributor of specialty chemicals. Founded in 1884, the company is headquartered in Oftringen, CHE, with a team of 5001-10000 employees. The company is currently Late Stage.

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