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Remote Nfl Team Internships Jobs (NOW HIRING)

Penn Interactive

News Editor

Every NFL team's biggest question mark entering training camp; 10 rising soccer talents ready for ... Opportunities for career progression and mentoring others #LI-REMOTE

Penn Interactive

News Editor

$45K - $63K/yr

Every NFL team's biggest question mark entering training camp; 10 rising soccer talents ready for ... Opportunities for career progression and mentoring others #LI-REMOTE Salary Range $45,000-$63,000 ...

APA

Internships at APA - APA Publishing

Washington, DC · On-site +1

... marketing team * Attend department meetings * Write marketing copy and press releases * Conduct ... Remote work interns may not work from the following states or U.S. territories: Alaska, Arkansas ...

SumerSports LLC

Senior Deep Learning Engineer

$155K - $185K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Be a senior peer to the existing research team. Push back, share judgment, build consensus on what ...

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Remote Nfl Team Internships information

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How much do remote nfl team internships jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote nfl team internships in the United States is $28.70, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Remote Nfl Team Internships vs Remote Sports Marketing Internships?

AspectRemote Nfl Team InternshipsRemote Sports Marketing Internships
CredentialsRelevant coursework, sports management or marketing backgroundMarketing, communications, or sports management background
Work EnvironmentTeam-specific, sports-focused, often in NFL offices or virtualMarketing campaigns, brand promotion, often in sports or agency settings
Industry UsageSpecifically within NFL teams or organizationsAcross various sports leagues, teams, and marketing firms
Search & Comparison IntentUnderstanding NFL-specific internship opportunitiesExploring broader sports marketing internship options

Remote Nfl Team Internships focus on providing experience within NFL teams, emphasizing sports management and team operations. In contrast, Remote Sports Marketing Internships offer broader marketing experience across various sports organizations. Both roles require relevant academic backgrounds and involve virtual or team-based work environments, but they differ in industry scope and specific focus areas.

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Remote Nfl Team Internships jobs near you
Infographic showing various Remote Nfl Team Internships job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $59,690 per year, or $28.7 per hour.

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 20 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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