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Internship Football Data Science Jobs (NOW HIRING)

CIM Group, LP

Data Science Intern

Los Angeles, CA · On-site

This internship offers a unique opportunity to stretch beyond the classroom, applying technical ... Collaborate across Data Science, MLOps (GenAI) Engineering, Platform Engineering, Data Stewardship ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | 3 months About the Role We are looking for a curious and analytically minded Data Science Intern to ...

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

Schonfeld

2027 Data Science Intern

New York, NY · On-site

$100K - $110K/yr

The Role We are excited to offer an internship opportunity for a talented student to join the data science team at Schonfeld. The data science team is responsible for creating Schonfeld's proprietary ...

Schonfeld

2027 Data Science Intern

New York, NY · On-site

$100K - $110K/yr

The Role We are excited to offer an internship opportunity for a talented student to join the data science team at Schonfeld. The data science team is responsible for creating Schonfeld's proprietary ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

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 ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S ... Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ...

Grainger Businesses

GTG Intern - Data Science

Chicago, IL · On-site

$33/hr

Internship Overview The Grainger Technology Group (GTG) internship is a 10-week, paid program based ... Position Details As a Data Science Intern on the Digital Experience Analytics team, you will use ...

Opsm PRO

Agency Intern Position

Tulsa, OK · On-site

$13 - $17.25/hr

This internship offers hands-on exposure to the business side of professional football, including ... Knowledge of football data platforms (e.g., Wyscout, Transfermarkt) is a plus * Ideal Candidate

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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 Sep 12, 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 is an internship football data science?

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 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 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 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:

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What other helpful pages are available for Internship Football Data Science?

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Internship Football Data Science jobs near you

Data Science Intern

Los Angeles, CA • On-site

CIM Group, LP
Finance and Insurance • 1 - 5K employees
Learn more about CIM Group, LPexternal

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

ABOUT CIM GROUP:
CIM is a community-focused real estate and infrastructure owner, operator, lender, and developer. Our team of experts works together to identify and create value in real assets, benefiting the communities in which we invest. Back in 1994, our three founders focused on projects in Southern California neighborhoods. Today, we are a diverse team of 900+ employees with projects across the Americas. Our projects have delivered jobs; created comfortable places to live, work, and relax; and provided necessary and sustainable infrastructure. Our focus on enhancing communities is unwavering, and we strive to make an even greater impact in the years to come. Join us and make an impact today!
POSITION PURPOSE:
The Data Science Intern will contribute to real-world projects at the intersection of business, economics, and data science. As part of the Enterprise Data Management team, the intern will support efforts to develop machine learning models, explore Generative AI (GenAI) and large language model (LLM) use cases, and analyze financial and operational data to help inform business decisions. Working alongside our Machine Learning Ops (+GenAI) Engineer, Platform Engineering team, and Data Stewards, the intern will gain hands-on experience with a modern Databricks Lakehouse environment and learn how analytics and AI solutions are developed, tested, and deployed in an enterprise setting. This internship offers a unique opportunity to stretch beyond the classroom, applying technical skills to real-world challenges, while learning from experienced professionals in a leading investment management firm.
RESPONSIBILITIES:
  • Contribute to the end-to-end analysis of real datasets-framing the question, applying statistical, econometric, and economic reasoning, and surfacing insights that help inform investment and operational decisions.
  • Translate quantitative findings into compelling narratives, visualizations, and recommendations to help influence how the team and business stakeholders take action.
  • Support the development and iteration of statistical, econometric, and machine learning models across the full workflow-from feature engineering to validation-with mentorship from senior engineers and business SMEs.
  • Prototype GenAI and large language model (LLM) applications-such as retrieval-augmented and agentic workflows-that make firm data easier to explore, analyze, and act on.
  • Partner with our MLOps (GenAI) Engineer to move promising prototypes toward production, learning how models are deployed, monitored, evaluated, and scaled.
  • Research emerging techniques in machine learning, generative AI, and applied econometrics; run structured experiments and causal analyses; and present findings and recommendations to the team.
  • Work with the Platform Engineering team to build, query, and analyze data on our modern Lakehouse platform, gaining hands-on exposure to production data infrastructure.
  • Partner with Data Stewards to understand data lineage, definitions, and quality, and apply responsible, well-governed data practices in your work.
  • Contribute to data quality and model evaluation-building test cases, scoring model and LLM outputs, and helping ensure analyses rest on reliable data.
  • Learn and apply best practices for data privacy, security, and responsible AI, operating within the firm's compliance and governance framework.
  • Collaborate across Data Science, MLOps (GenAI) Engineering, Platform Engineering, Data Stewardship, and business teams to help scope ambiguous problems and deliver measurable results.

EDUCATION / EXPERIENCE REQUIREMENTS: (including certification, licenses, etc.)
Required
  • Currently pursuing a bachelor's or master's degree in Economics, Data Science, Mathematics, Statistics, Finance, or a related quantitative field-including combined programs such as Economics & Data Science.
  • Strong academic (and/or extracurricular or relevant internship) foundation in mathematics, statistics, and econometrics, such as probability, linear algebra, regression, causal inference, and hypothesis testing.
  • Programming ability in Python (or R), with familiarity with data libraries such as Pandas, NumPy, or scikit-learn.
  • Demonstrated quantitative ability through coursework, research, hackathons, competitions (e.g., Kaggle), or personal projects in data, analytics, or AI.
  • Exposure to applied machine learning or data mining through coursework or projects, and genuine interest in generative AI, with a drive to learn how modern models are built, evaluated, and applied to real business and investment problems.

Preferred
  • Prior internships or hands-on projects involving machine learning or GenAI.
  • Familiarity with data management concepts and SQL (or a strong aptitude and eagerness to learn them quickly).

ABOUT YOU:
  • Strong communication skills, with the ability to bridge technical teams and business stakeholders and explain complex ideas clearly, in both written and verbal form.
  • A collaborative mindset and eagerness to work with people across different teams.
  • Exceptional analytical and problem-solving skills, with intellectual curiosity, high standards, and a proactive, self-directed approach to ambiguous problems.
  • A passion for data as a tool to inform and drive real-world, business value.

Actual base salary considers several factors including but not limited to geography, job-related knowledge, experience, and budget. The start of the salary range is typically associated with the minimum experience required. The role is considered non-exempt so will be eligible for overtime pay in accordance with federal and state law. The anticipated base pay for the position in Los Angeles, CA is $20 per hour.
HOW WE FEEL ABOUT DIVERSITY AND INCLUSION:
At CIM Group, we believe that the unique perspectives and backgrounds of our employees enhance everything we do. We are committed to fostering an inclusive environment where diversity is not only respected but celebrated. We strive to ensure that our workplace is free from discrimination and harassment, allowing everyone to contribute meaningfully and feel a sense of belonging. As an equal opportunity employer, we strictly prohibit any form of unlawful discrimination and adhere to the laws enforced by the EEOC. Our goal is to provide a safe and supportive environment where all employees can grow and make impactful contributions together.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on CIM Group. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.
CIM is committed to maintaining the confidentiality and privacy of your personal and financial information. Please click here for our Privacy Policy.
CIM does not accept unsolicited resumes from Agencies. Any unsolicited resumes received from Agencies will be considered property of CIM and no fees will be due or paid. If you wish to become an approved Agency with CIM or any of its Affiliates, please contact a member of the CIM Talent Acquisition Team.

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