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Internship Nfl Data Scientist Jobs (NOW HIRING)

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

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 ...

MessageControl

Data Scientist

Chicago, IL · On-site

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 ...

MessageControl

Data Scientist

Chicago, IL · On-site

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 ...

Capgemini

Data Scientist

Houston, TX · On-site

Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles. * Demonstrable background in the Energy & Utilities sector. * Foundational ...

Epicor

Data Scientist

Dublin, GA · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

Epicor

Data Scientist

Bensalem, PA · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

Epicor

Data Scientist

Lehi, UT · On-site

What You Will Likely Bring * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

Epicor

Data Scientist

Minneapolis, MN · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

Epicor

Data Scientist

Austin, TX · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

Epicor

Data Scientist

Herndon, VA · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

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.

Epicor

Data Scientist

Lehi, UT · Hybrid

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

RXinsider LTD.

Data Scientist

Lehi, UT · On-site

What you will likely bring: * 2-4 years' experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional ...

New

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.

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Internship Nfl Data Scientist information

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$165K

$243.5K

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

As of Sep 14, 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 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.

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.

How hard is it to get an internship NFL data scientist?

Securing an NFL data scientist internship is competitive and typically requires a strong background in data analysis, programming skills in languages like Python or R, and knowledge of sports analytics. Candidates often need relevant coursework, internships, or projects demonstrating their ability to handle large datasets and apply statistical models within a sports context.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether the role involves advanced analytics, machine learning, or sports-specific data tools.

How to get an internship in the NFL?

To secure an internship as an NFL Data Scientist, candidates should have a strong background in data analysis, programming (such as Python or R), and knowledge of sports analytics. Relevant experience through coursework, personal projects, or previous internships, along with networking within the sports industry, can improve chances. Applying through official NFL internship programs or team-specific opportunities and demonstrating a passion for football and data are also important.
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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 September 2026, with employment types broken down into 12% Internship, 70% Full Time, 6% Part Time, 6% Temporary, and 6% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Portland, ME • On-site

Northeastern University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Northeastern Universityexternal

$87K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

About the Opportunity
JOB SUMMARY
This is a full-time, one-year term appointment with the possibility of renewal. The position is in-person at Northeastern's Roux Institute in Portland, Maine.
The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University's Experiential AI Institute, will support the development and delivery of AI and data science solutions across diverse industries. The role is designed for early-career data scientists who will work under the guidance of senior data scientists, AI engineers, and faculty leads.
The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing work, and modern AI practices across Predictive AI and Generative AI use cases.
Education & Experience
  • Master's degree (required) or Ph.D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field.
  • 0-2 years of industry, research, or applied project experience in data science or machine learning.
  • Experience gained through internships, co-ops, academic research, or applied capstone projects is acceptable.
  • Industry experience is preferred.

Knowledge, Skills, and Abilities
Technical and Analytical Foundations
  • Solid understanding of statistical methods, regression, hypothesis testing, and basic experimental design.
  • Hands-on experience with classical machine learning methods such as linear/logistic regression, decision trees, and gradient boosting.
  • Familiarity with deep learning concepts and modern architectures (e.g., convolutional neural networks or transformers); deep specialization is not required.
  • Exposure to Generative AI concepts and large language models (LLMs) is a plus.
  • Proficiency in Python for data analysis and model development (NumPy, pandas, scikit-learn).
  • Working knowledge of SQL and relational databases.
  • Familiarity with at least one ML or deep learning framework (e.g., PyTorch, TensorFlow, HuggingFace).
Model Development and Delivery Support
  • Perform data cleaning, exploratory data analysis (EDA), and feature engineering.
  • Train, evaluate, and compare machine learning models under supervision.
  • Assist with model validation, performance monitoring, and documentation.
  • Contribute to ML pipelines and collaborate with ML engineers on deployment-related tasks.
Collaboration and Communication
  • Ability to clearly communicate analytical findings to technical and non-technical audiences with guidance.
  • Collaborate effectively with cross-functional teams including data scientists, engineers, project managers, and faculty experts.
  • Willingness to participate in client meetings in a supporting role.
Preferred Experience
  • Exposure to NLP, computer vision, or speech processing through coursework or academic/industry projects.
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Understanding of software development best practices such as version control (Git) and Agile workflows.

Values & Professional Attributes
Ethical and Responsible AI
  • Awareness of ethical AI principles including fairness, transparency, and responsible model use.
  • Willingness to follow established governance, documentation, and review practices.
Learning and Growth Mindset
  • Strong curiosity and motivation to learn new tools, techniques, and AI methods.
  • Openness to feedback and mentorship.
Execution and Ownership
  • Ability to manage assigned tasks, meet deadlines, and maintain high-quality work.
  • Proactive attitude and willingness to take increasing responsibility over time.

Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$87,785.00 - $123,998.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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