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Data Science Fall Internship Jobs in Ohio (NOW HIRING)

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

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 ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · On-site

$120K - $160K/yr

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 ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · On-site

$120K - $160K/yr

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 ...

Medpace, Inc.

AI Engineering Intern - Fall 2026

Cincinnati, OH · On-site

$16 - $21/hr

... Data Science, or related field. * Available to work 40 hours per week in our Cincinnati, OH office. Preference for those currently in or from Cincinnati; * 3.5 GPA or higher; * Class or internship ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Medpace

Junior Data Engineer

Cincinnati, OH · On-site

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • Internship experience in Data or Software Engineering • Knowledge of developing dimensional data models ...

Vertiv

Audit Internship (Fall 2025)

Westerville, OH · On-site

$14.25 - $19.25/hr

POSITION SUMMARY We are seeking a motivated and detail-oriented Accounting or Data Scientist/Forensic Intern to join our team. This internship provides an excellent opportunity for students or recent ...

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Data Science Fall Internship information

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

As of Jul 13, 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 Analyst - GEOINT Technical SME

Data Analyst - GEOINT Technical SME

Science Applications International Corporation

Dayton, OH • Remote

Other

Re-posted 9 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

68th of 210 rated it services

Job description

The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key
business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs.

Work will be performed at the customer site in Dayton, OH. 

The hiring of this position in contingent upon contract award. 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 techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals
  • Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency
  • Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures
  • Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams
  • Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring
  • Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Skills:

Education: A minimum of a Bachelor's Degree in Data Science, Statistics, Business, or a related field

Experience:

  • 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
  • Experience in collaborating with stakeholders to clarify project needs and business objectives
    Familiarity with the concepts of analytical model development and maintenance
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
  • Proficiency in creating and editing visual content such as charts and graphs to represent data
  • At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Desired Skills:

  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
  • Experience with policy development or process improvement initiatives
  • Familiarity with GEOINT analysis software or Customer-specific applications

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