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Internship Nfl Data Scientist Jobs (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

State Farm

Data Scientist

Dunwoody, GA · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

NorthEastern

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... including internships working with complex datasets, including curation, querying, aggregation ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

MessageControl

Data Scientist

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

MessageControl

Data Scientist

Chicago, IL

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Accelint Holdings LLC

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist Full Time Onsite/Hybrid Preferred The Data Scientist is responsible for designing ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

Booz Allen Hamilton

Data Scientist, Mid

Arlington, VA · On-site

Required : • 2+ years of experience in data science in a professional work environment • Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... internships working with complex datasets, including curation, querying, aggregation, exploratory ...

Conviva

Senior Data Scientist

Foster City, CA · On-site

$180K - $230K/yr

Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses ... We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms ...

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... Experience with Dataiku's Data Science Studio Additional Information QxBranch is committed to ...

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Internship Nfl Data Scientist information

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$46K

$165K

$243.5K

How much do internship nfl data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for internship nfl data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an NFL data scientist intern do?

An NFL Data Scientist Intern works with large sets of football-related data to help teams make informed decisions. Their tasks often include collecting, cleaning, and analyzing player statistics, game data, and other relevant information using programming languages like Python or R. They also develop predictive models and data visualizations to support coaching, scouting, or business operations. Interns typically collaborate with experienced data scientists and may present their findings to various departments within the organization.

What are the key skills and qualifications needed to thrive as an NFL data scientist intern, and why are they important?

To excel as an NFL Data Scientist Intern, you need a solid background in statistics, data analysis, and programming—typically with coursework or experience in computer science, mathematics, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau, as well as knowledge of machine learning frameworks, is highly valuable. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart in this collaborative and fast-paced environment. These skills enable interns to derive actionable insights from complex sports data, supporting decision-making and competitive strategy within the organization.

What is the difference between Internship Nfl Data Scientist vs Internship Nfl Data Analyst?

AspectInternship Nfl Data ScientistInternship Nfl Data Analyst
Required SkillsProgramming, statistical modeling, machine learningData visualization, reporting, basic analytics
Work EnvironmentResearch-focused, predictive modeling, advanced analyticsData reporting, dashboard creation, descriptive analysis
Common Employer UsagePlayer performance prediction, game strategyFan engagement, operational reporting

Internship Nfl Data Scientists focus on developing predictive models and advanced analytics, requiring skills in programming and machine learning. In contrast, Internship Nfl Data Analysts primarily handle data reporting and visualization tasks. Both roles are valuable in the NFL industry but differ in technical depth and focus areas.

What types of projects can I expect to work on during an NFL data scientist internship?

As an NFL Data Scientist intern, you'll typically work on projects involving player performance analysis, game strategy optimization, and data-driven scouting. Interns often collaborate with coaching staff, analytics teams, and other departments to analyze large datasets, develop predictive models, and create visualizations that inform decision-making. Expect to use statistical programming languages like Python or R, and present your findings to both technical and non-technical stakeholders. These projects not only enhance your technical skills but also provide valuable insight into how analytics impacts team performance and strategy.
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Internship Nfl Data Scientist jobs near you
Infographic showing various Internship Nfl Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site

$95 - $110/hr

Other

Re-posted 20 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands‑on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade‑offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision‑support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.

$95,000 - $110,000 a year

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