1

Internship F1 Data Science Jobs in Ohio (NOW HIRING)

... Monate Praktikum mit anschließender Masterarbeit über 6 Monate. Aufgaben: * Analyse und ... Masterstudium in Data Science, Mathematik, Ingenieurswissenschaft oder vergleichbar * Gute ...

New

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/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 ...

Data Engineer

Beavercreek, OH · On-site

$53K - $88K/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 ...

Public Health Data Engineer

Beavercreek, OH · On-site

$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 ...

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 ...

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 ...

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 ...

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 ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

... F1 STEM OPT, F1 CPT, etc.) now or in the future. If you will require McKesson to provide ... Bachelor's degree in Computer Science, Information Systems, or a related field, or relative ...

next page

Showing results 1-20

Internship F1 Data Science information

What is an Internship F1 Data Science?

An Internship F1 Data Science is a temporary, entry-level position typically offered to students or recent graduates who are interested in applying data science techniques to Formula 1 (F1) motorsport. Interns in this role work with large sets of racing data, assist with data analysis, and contribute to performance optimization for F1 teams. They gain hands-on experience with real-world data, advanced analytics, and machine learning models, often working alongside experienced data scientists and engineers. This internship provides valuable exposure to both the fast-paced F1 environment and the technical demands of sports analytics.

What types of projects can an intern expect to work on during an F1 Data Science internship?

As an F1 Data Science intern, you can expect to work on projects involving race data analysis, predictive modeling, and performance optimization. You'll collaborate with engineering and analytics teams to process telemetry data, build machine learning models, and generate insights that can influence race strategies. Interns often have the opportunity to contribute to real-world decisions by visualizing data or automating data pipelines. This experience provides a hands-on understanding of how data science directly impacts the competitive edge in Formula 1.

What are the key skills and qualifications needed to thrive as an Internship F1 Data Science?

To thrive as an F1 Data Science intern, you need a solid background in statistics, mathematics, and programming (often with Python or R), supported by ongoing or completed studies in a STEM field. Familiarity with data analysis tools, machine learning libraries, and motorsport telemetry systems is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns contribute meaningfully to team projects. These capabilities are crucial for interpreting complex data, supporting performance optimization, and collaborating in the high-pressure, fast-paced environment of F1 teams.

What is the difference between Internship F1 Data Science vs Data Analyst Intern?

AspectInternship F1 Data ScienceData Analyst Intern
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsSimilar: coursework, basic analytics skills, some certifications
Work EnvironmentTech companies, finance, healthcare; collaborative, project-basedBusiness, tech, consulting; data-focused, team-oriented
Employer & Industry UsageInternships in data science teams across industriesInternships in analytics teams across industries
Comparison Search IntentYesYes

Internship F1 Data Science and Data Analyst Intern roles share similar requirements and work environments, focusing on data handling and analysis. However, Data Science internships often emphasize machine learning, statistical modeling, and programming, while Data Analyst internships focus more on data visualization, reporting, and basic analytics. Both roles serve as entry points into data careers, but their specific skill sets and project types differ slightly.

What are the most commonly searched types of F1 Data Science jobs in Ohio?

The most popular types of F1 Data Science jobs in Ohio are:

What are popular job titles related to Internship F1 Data Science jobs in Ohio?

For Internship F1 Data Science jobs in Ohio, the most frequently searched job titles are:

Infographic showing various Internship F1 Data Science job openings in Ohio as of August 2026, with employment types broken down into 11% Internship, 44% Full Time, 34% Part Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Data Science & Analytics Specialist

Apogee Engineering, LLC

Dayton, OH • On-site

Full-time

Posted 3 days ago

New


Job description

Overview
Apogee Engineering has a exciting position for a Data Science & Analytics Specialist that will provide data science and analytics support to help design, implement, and refine analytic workflows leveraging NASIC data within cloud and enterprise environments. Works under the guidance of senior engineers and analysts to enable IA/AI/ML-enabled mission workflows.
****Contingent Upon Contract Award****
Responsibilities
  • Assist in developing and refining analytic workflows that operate on large, complex NASIC datasets.
  • Support the preparation and transformation of data for IA/AI/ML and advanced analytics.
  • Help conduct quantitative analysis, exploratory data analysis, and basic modeling to support mission objectives.
  • Document analytic processes, data flows, and results in support of technical reports and briefings.
  • Collaborate with systems engineers, software engineers, and mission analysts to align analytics with operational use cases.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Ability to obtain and maintain a TS/SCI security clearance.
Education / Years of Experience:
Additional Experience:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, with at least two (2) years' related experience (may include applied research, internships, or professional work).
  • Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar).
  • Ability to interpret quantitative results and communicate them clearly in written and verbal form.
  • Familiarity with basic data management and data quality concepts.

Preferred Qualifications:
  • Experience supporting IA/AI/ML model development, evaluation, or integration.
  • Familiarity with cloud-based data and analytics platforms.
  • Experience working with intelligence or operational datasets (simulated or real).

Additional Information
Location: Wright Patterson AFB Dayton, OH
On-site/Hybrid/Remote: On-site
Travel: Occasional