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Internship F1 Data Science Jobs (NOW HIRING)

Ardian

Data Scientist Intern

New York, NY · On-site

... internship) of engineering or business school, currently pursuing a degree in data science ... Open to J1/F1 sponsorship To enhance your recruitment prospects and prepare for potential ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

Wellmark, Inc.

Data Science Associate

Des Moines, IA

$57K - $58K/yr

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

Wellmark, Inc.

Data Science Associate

Des Moines, IA · On-site

$21/hr

Specific exposure with hands-on data analysis of databases and files using SQL dialects and ... F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc. For additional information around work authorization needs ...

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Internship F1 Data Science information

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How much do internship f1 data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship f1 data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 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.
More about Internship F1 Data Science jobs
What cities are hiring for Internship F1 Data Science jobs? Cities with the most Internship F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Internship F1 Data Science jobs? States with the most job openings for Internship F1 Data Science jobs include:
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Internship F1 Data Science jobs near you
Infographic showing various Internship F1 Data Science job openings in the United States as of August 2026, with employment types broken down into 14% Internship, 29% Full Time, 43% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist Intern

Ardian

New York, NY • On-site

Full-time

Re-posted 14 days ago

Job description

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)
This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.
Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
  • Rigor
  • Motivation
  • Autonomy
  • Responsiveness
  • Team spirit and excellent communication skills
  • Ability to simplify complex technical concepts
  • Efficiency

Profile
  • 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field
  • Prior experience in data science required
  • Advanced proficiency in Python required
  • Fluent English essential
  • Good command of Excel and PowerPoint appreciated

Other information
  • Remuneration based on profile
  • Monday - Thursday meals provided in Ardian's office
  • Open to J1/F1 sponsorship

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