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Internship F1 Data Science Jobs in Utah (NOW HIRING)

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and ... science, analytics, statistical modeling, or a related field, including relevant internships ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT · On-site

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

Clyde Companies

Cybersecurity Intern

Orem, UT · On-site

$13 - $17.50/hr

Overview The Clyde internship experience is designed to allow candidates to apply their academic ... Science, Information Systems, Data Science, Information Technology, or Cybersecurity. Job ...

Jade Global

Data/Ai Engineer Intern

Ogden, UT

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

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All JobsF1 Data Science JobsInternship F1 Data Science JobsInternship F1 Data Science Jobs in Utah

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 popular job titles related to Internship F1 Data Science jobs in Utah?

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

What job categories do people searching Internship F1 Data Science jobs in Utah look for?

The top searched job categories for Internship F1 Data Science jobs in Utah are:

Internship F1 Data Science jobs near you

Data Scientist

Jobtailor

Lehi, UT • On-site

$90 - $130/hr

Other

Posted 8 days ago

Job description

  • Analyze structured and unstructured datasets to identify trends and answer business questions
  • Develop, test, and refine statistical and analytical models
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
  • Evaluate new data sources and analytical methods
  • Document analytical approaches and communicate findings
  • Support deployment and ongoing improvement of data science solutions
Requirements
  • 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
  • Working knowledge of Python and SQL
  • Understanding of statistical methods, model evaluation, and analytical problem-solving
  • Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
  • Familiarity with database concepts, data warehousing, or data-processing workflows
  • Strong written and verbal communication skills
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
  • Experience with pandas, NumPy, scikit-learn, or similar analytical tools
  • Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
  • Experience applying AI or machine learning to practical business, product, or customer use cases
  • Exposure to R or other data science and statistical tools
  • Experience with Power BI, Tableau, or MicroStrategy
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords
  • Data Analysis
  • Statistical Modeling
  • Python Programming
  • SQL Proficiency
  • Machine Learning
ATS Optimization Keywords Hard Skills
  • Data Science
  • Statistical Methods
  • Model Evaluation
  • Data Cleaning
  • Data Transformation
  • Pattern Identification
  • Hypothesis Testing
  • Analytical Problem-Solving
  • Data Visualization
  • Cloud-Based AI Services
Soft Skills
  • Strong Communication Skills
Industry Keywords
  • Data Warehousing
  • Data Processing Workflows
  • Distributed Data Processing
  • Business Use Cases
  • Analytics Capabilities
Tools & Technologies
  • Pandas
  • NumPy
  • Scikit-Learn
  • Power BI
  • Tableau
  • MicroStrategy
  • AI Tools
  • Machine Learning Frameworks
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