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Data Scientist Internship Jobs in Ohio (NOW HIRING)

Proctor & Gamble

You must be available during the summer of 2027 for a 12 week internship from mid/late May through early August. * Currently pursuing a Master's in Data Science, Statistics, Applied Mathematics ...

Stryker

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

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Stryker

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

Stryker

$35/hr

Persistent interns who will stop at nothing to live out Stryker's mission to make healthcare better. Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ...

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All JobsData Scientist JobsData Scientist Internship JobsData Scientist Internship Jobs in Ohio

Data Scientist Internship information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do data scientist internship jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data scientist internship in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What is a data scientist internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What kind of projects and tasks can I expect to work on during a data scientist internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What are the qualifications to get a data scientist internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

What do you do as a data scientist internship?

A data scientist intern assists in analyzing data, developing models, and generating insights to support business decisions. They often work with tools like Python, R, or SQL and may be involved in data cleaning, visualization, and reporting under supervision. The internship provides practical experience in data analysis and machine learning techniques.
More about Data Scientist Internship jobs

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Data Scientist Internship jobs near you
Infographic showing various Data Scientist Internship job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Product Data Decision Science Intern

centralins

Dublin, OH

Internship

Posted 10 days ago

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.

Apply