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Internship Football Data Science Jobs (NOW HIRING)

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

Launch your data science or technical analyst career by building AI and analytics solutions that ... Experience through internships, personal projects, research, hackathons, student organizations, or ...

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

OR · On-site

The internship is set for 10-12 weeks but may be extended based on business needs. Primary ... data science across claims, plan administration, client services, and clinical/UM functions

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

This area provides data science support for internal business partners at State Farm, including ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data ... This is a builder's internship: you'll write real code, work with real data, and ship work that ...

Data Science Intern

Palo Alto, CA · On-site +1

$28.27 - $60/hr

A passion for applying mathematical models and computer science technology to data-driven decision ... Subject to the terms and conditions of the applicable plans then in effect, full-time interns are ...

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Internship Football Data Science information

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How much do internship football data science jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship football data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are Internship Football Data Science positions?

Internship Football Data Science positions are temporary roles designed for students or early-career professionals interested in applying data science techniques to football (soccer) analytics. Interns in these roles assist with collecting, processing, and analyzing football data to derive insights that can help teams with performance analysis, scouting, and strategy. Typical tasks include working with large datasets, using statistical models, and creating visualizations to inform coaching staff or management. These internships provide valuable hands-on experience and can lead to full-time opportunities in sports analytics.

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

To thrive as an Internship Football Data Science, you need a solid background in statistics, data analysis, and programming (often with a degree in mathematics, computer science, or related fields). Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, as well as experience with sports analytics software, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present actionable insights to coaches and analysts. These competencies enable interns to contribute meaningful analysis that can inform strategies and improve team performance.

What types of projects or tasks can I expect to work on during an Internship in Football Data Science?

As a Football Data Science intern, you'll typically assist with tasks like collecting, cleaning, and analyzing match or player data using tools such as Python or R. You may contribute to building statistical models to evaluate player performance or team tactics, and create data visualizations to help coaching staff make informed decisions. Collaboration is common with analysts, coaches, and sometimes software developers, offering a broad view of how data-driven insights impact real-time football decisions. This hands-on experience builds both technical and communication skills, preparing you for future roles in sports analytics.

What is the difference between Internship Football Data Science vs Football Data Analyst?

AspectInternship Football Data ScienceFootball Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Employer & Industry UsageSports teams, analytics startups, research projectsProfessional sports organizations, clubs, analytics firms
Search & Comparison IntentEntry-level roles, internships, learning opportunitiesCareer advancement, professional data analysis roles

Internship Football Data Science positions are entry-level opportunities focused on learning and supporting data projects in football. In contrast, Football Data Analysts are professional roles requiring more experience and specialized skills, responsible for analyzing and interpreting football data to inform decisions.

What cities are hiring for Internship Football Data Science jobs? Cities with the most Internship Football Data Science job openings:
What are the most commonly searched types of Football Data Science jobs? The most popular types of Football Data Science jobs are:
What states have the most Internship Football Data Science jobs? States with the most job openings for Internship Football Data Science jobs include:
Lecturer of Data Science

$4.0K/mo

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

406th of 552 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG193056EP
Internal Recruitment
No
Working Title
Lecturer of Data Science
Anticipated Hiring Range
$4K per credit (additional compensation for course customization or supervisory duties as needed).
Work Schedule
Varies depending on course assignment. (3 hours per week per credit or course equivalent.)
Job Location
Raleigh,NC
Department
Data Science and AI Academy
About the Department
The Data Science and AI Academy is the first of several NC State Academies, which are true university-wide efforts involving all 10 colleges. The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North Carolina. At NC State, data science and AI are for everyone.
The Data Science and AI Academy offers 1-credit project-based courses and customized non-credit courses on a variety of topics grounded in our ADAPT course model (All Campus Data Science Accessible Project-based Teaching and Learning). We seek instructors from industry, government and academia who are excited about broadening participation in data science and welcoming learners from many disciplines.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The successful candidate(s) will teach undergraduate and/or graduate courses in Data Science according to the Data Science and AI Academy's needs and the applicant's knowledge, skills, and ability. Opportunities are also available to teach professional, customized, and continuing education Data at Work courses.
Our courses attract undergraduates, graduate students, faculty and staff from across the university as well as learners outside of the university. We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills-based prerequisites, such as particular programming concepts) and graduate level courses at the 500 level. Instructors will join a professional teaching community that meets twice monthly to discuss data science teaching and learning research and practice.
The for-credit courses meet for 50 minutes once a week for a semester and can be delivered in person or online. Data at Work (not-for-credit) courses have a customized schedule.
Core Courses:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Appointments will be for one or two semesters with the possibility of renewal.
Note that this position is only for teaching a few (often just 1) credits, not full-time.
Other Responsibilities
Qualifications
Minimum Education and Experience
  • Requires master's degree

Other Required Qualifications
  • Excellent strong communication and interpersonal skills and sense of collaboration.

Preferred Qualifications
N/A
Required License(s) or Certification(s)
N/A
Valid NC Driver's License required
No
Commercial Driver's License required
No
Recruitment Dates and Special Instructions
Job Open Date
12/04/2023
Anticipated Close Date
Special Instructions to Applicants
Please submit a curriculum vitae, cover letter and 3 reference contacts for consideration. Also required is a teaching statement of no more than 1 page that includes how your teaching practices help create a classroom environment that aligns with the ADAPT course model (see DSA website for details) and demonstrates NC State's goals and values as described in the Wolfpack 2030 Powering the Extraordinary Strategic Plan: https://strategicplan.ncsu.edu/current-plan/wolfpack-2030-powering-the-extraordinary/
In your cover letter please list which of the following core courses you would like to be considered for as an instructor:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Optional: if you are interested in proposing a new course, include a draft of a course idea based on theADAPT course model that includes the course title, a short course description, 4 to 6 learning objectives, an idea for final project, the level of the course (200, 400 or 500) and a list of prerequisite skills that are required for 400 and 500 level courses.
Position Details
Position Number
DSA2024F-1
Position Type
Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
.075
Appointment
Non-Recurring
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event
Department ID
231010 - Data Science Academy
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

Sourced by ZipRecruiter

North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887