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Internship F1 Data Analyst Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Orlando, FL · On-site

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Extract and analyze data from the Banner ERP system and related data sources to fulfill internal ... F1, now and in the future. New College of Florida (NCF) is an equal opportunity employer and ...

Engineering Intern - Summer 2027

Jacksonville, FL · On-site

$15.50 - $20.25/hr

Contribute to system integration, verification, validation, risk analysis, and data-driven ... internship positions. Individuals on temporary visa classifications, including E, F1 (CPT or OPT ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Role Overview We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and ...

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Internship F1 Data Analyst information

What is an Internship F1 Data Analyst?

Internship F1 Data Analysts are students or early-career professionals who assist Formula 1 teams or affiliated organizations by collecting, processing, and interpreting complex data related to car performance, race strategies, and engineering developments. They work under the supervision of experienced analysts, using tools like MATLAB, Python, and specialized motorsport software. Their role often involves creating visualizations, preparing reports, and helping the team make data-driven decisions during races and development cycles. This internship is a valuable opportunity to gain hands-on experience in motorsport analytics and understand the technical aspects of F1 racing.

What are the typical projects and responsibilities for an Internship F1 Data Analyst, and how do they contribute to the team's performance?

As an Internship F1 Data Analyst, you will often be tasked with collecting, cleaning, and analyzing large sets of telemetry and performance data from the cars during testing sessions, practice runs, and races. You may assist in developing data visualization tools and reporting dashboards to help engineers and strategists make real-time decisions. Collaboration is key, as you'll work closely with engineers, race strategists, and software developers to turn raw data into actionable insights. Your contributions directly impact race strategies, car setup optimizations, and overall team performance, making this a dynamic and rewarding role.

What are the key skills and qualifications needed to thrive as an Internship F1 Data Analyst, and why are they important?

To thrive as an Internship F1 Data Analyst, you need a strong background in data analysis, statistics, and familiarity with motorsport engineering concepts, typically supported by coursework in computer science, engineering, or mathematics. Experience with data analysis tools such as Python, MATLAB, SQL, and race simulation software is highly valued, along with proficiency in Microsoft Excel. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data and collaborate with technical teams. These skills are essential for extracting actionable insights from complex race data and contributing to performance improvements in a fast-paced Formula 1 environment.

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

AspectInternship F1 Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data-related fields; internship experienceBachelor's degree or higher in data science, statistics, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in corporate or financial sectorsFull-time professional role in various industries such as finance, healthcare, or tech
Employer & Industry UsageUsed by companies to train and evaluate potential future employees, common in finance and consultingEstablished role for analyzing data, generating reports, and supporting decision-making

The main difference is that an Internship F1 Data Analyst is a temporary, training-focused position for students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into the data analysis field, whereas Data Analysts are expected to independently handle data projects and contribute to organizational goals.

What are the most commonly searched types of F1 Data Analyst jobs in Florida?

The most popular types of F1 Data Analyst jobs in Florida are:

What cities in Florida are hiring for Internship F1 Data Analyst jobs?

Cities in Florida with the most Internship F1 Data Analyst job openings:

Infographic showing various Internship F1 Data Analyst job openings in Florida as of August 2026, with employment types broken down into 13% Internship, 48% Full Time, 13% Part Time, 13% Temporary, and 13% Summer. Highlights an 87% In-person, and 13% Remote job distribution.

Sr. Data Analyst

Orlando, FL • On-site

Versant Limited
Advertising and Public Relations Services • 1 - 10 employees

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Description

VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.

Job Description

This Senior Data Analyst role sits within the AI, Modeling, and Strategy team (AIMS), part of the broader Data Product and Technology team. The position is responsible for supporting the ongoing operations, enhancement, and maintenance of data products.

In this role, the senior data analyst will contribute to expanding the organization’s analytical and AI capabilities within a fast-paced, innovative environment, playing a key part in developing scalable data products that deliver measurable value to both internal stakeholders and external business partners.

Responsibilities:

  • Design, develop, and implement advanced algorithms and automated analytical pipelines, including clustering (e.g k-means, hierarchical clustering, DBSCAN, HDBSCAN), supervised learning (e.g. linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (e.g. ARIMA, Prophet, LSTM), optimization techniques, and probabilistic models to analyze large, complex, and unstructured datasets.
  • Develop, refine, validate and deploy scalable advanced analytical and statistical models to generate actionable insights for key stakeholders
  • Partner closely with finance, product, pricing, marketing, and data services teams to translate business questions into analytical solutions, productionize models using MLOps best practices, and support the ongoing monitoring, maintenance, and optimization of data products and models.
  • Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering techniques, and scalable transformation processes to ensure accuracy, reliability, and analytical readiness.
  • Evaluate and monitor model performance using appropriate metrics, diagnose anomalies and model drift, conduct A/B testing and experimentation, and define, monitor, and optimize KPIs supporting revenue, pricing, and growth initiatives.
  • Leverage modern AI and Generative AI technologies, including large language models (LLMs) and AI-assisted analytics tools, to improve analytical workflows, automate insight generation, and enhance decision-support capabilities.
  • Interpret and clearly communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through concise presentations, visualizations, and technical documentation.

Qualifications

  • Bachelor’s degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field
  • 1+ years of experience in data analytics, business intelligence, data science, or a related analytical role
  • Advanced skills in SQL, Python and/or R
  • Familiarity in visualization tools such as Tableau, Looker, etc.
  • Familiarity in using GitHub for version control, collaborative development, code reviews, CI/CD workflows, and management of analytics and machine learning codebases.

Desired Characteristics:

  • Experience in pricing and/or marketing analytics is preferred
  • Familiarity in Media, News and/or Entertainment content is preferred
  • Prior internship or work experience is preferred
  • Strong intellectual curiosity paired with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and recommend effective solutions.

Additional Requirements:

  • Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Must be willing to work in the Orlando, FL office.  Travel may be required for this position for company or department meetings.
  • This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.