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Sports Data Science Internship Jobs in Addison, IL

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$60K - $60K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

UL Solutions

Associate Data Scientist

Northbrook, IL · On-site

$62K - $83K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

UL Solutions

Associate Data Scientist

Northbrook, IL

$62K - $83K/yr

... science roles * Experience through internships, academic projects, or professional work involving data analysis and reporting * Working knowledge of SQL and Python * Experience with Power BI, Excel ...

1872 Consulting

Computer Vision Engineer

Chicago, IL

$114K - $135K/yr

Develop and implement the most innovative computer vision solutions on sports video data, which ... Bachelors, Masters or PhD in Computer Science or related quantitative field * Strong software ...

1872 Consulting

Computer Vision Engineer

Chicago, IL

$114K - $135K/yr

Develop and implement the most innovative computer vision solutions on sports video data, which ... Bachelors, Masters or PhD in Computer Science or related quantitative field * Strong software ...

Wolf Soccer Club

Remote Data Analyst

Aurora, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a ...

Wolf Soccer Club

Remote Data Analyst

Cicero, IL · On-site

Company Description Wolf Soccer Club is a growing sports organization dedicated to fostering ... Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a ...

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All JobsSports Data Science JobsSports Data Science Internship JobsSports Data Science Internship Jobs in Addison, IL

Sports Data Science Internship information

See Addison, IL salary details

$12

$22

$42

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

As of Sep 5, 2026, the average hourly pay for sports data science internship in Addison, IL is $22.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $24.57 per hour, depending on experience, location, and employer.

What is a sports data science internship?

A Sports Data Science Internship is a temporary position that allows students or recent graduates to gain hands-on experience applying data science techniques to sports-related problems. Interns typically work with data from games, athletes, or teams to analyze performance, develop predictive models, and support decision-making in sports organizations. This role often involves using programming languages like Python or R, working with large datasets, and collaborating with coaches or analysts. Interns may also assist in visualizing data and presenting insights to help improve team strategies or player development.

What types of projects or tasks can I expect to work on during a sports data science internship?

As a Sports Data Science Intern, you can expect to work on projects such as analyzing player performance data, building predictive models for game outcomes, and cleaning large datasets for use in analytics. Interns often collaborate with data scientists, coaches, and performance analysts to translate raw data into actionable insights. You'll likely use programming languages like Python or R and get exposure to sports-specific analytics software, providing valuable hands-on experience that can help launch your career in sports analytics.

What are the key skills and qualifications needed to thrive as a sports data science intern, and why are they important?

To thrive as a Sports Data Science Intern, strong quantitative skills, a background in statistics or data science, and experience with sports analytics are generally required. Familiarity with programming languages such as Python or R, data visualization tools, and knowledge of sports data platforms or databases is typical. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in team settings. These skills are crucial for analyzing complex sports data, generating actionable insights, and effectively conveying findings to coaches and decision-makers.

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

AspectSports Data Science InternshipSports Data Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentInternship programs, sports teams, analytics companiesFull-time roles in sports organizations, analytics firms
Employer & Industry UsageEntry-level, training-focused positions in sports analyticsProfessional, ongoing data analysis roles in sports

The Sports Data Science Internship is an entry-level, training-focused position designed for students or recent graduates gaining experience in sports analytics. In contrast, a Sports Data Analyst is a full-time professional role requiring more experience and specialized skills. Internships provide foundational exposure, while analysts handle ongoing data projects in sports organizations.

What are popular job titles related to Sports Data Science Internship jobs in Addison, IL?

For Sports Data Science Internship jobs in Addison, IL, the most frequently searched job titles are:

What job categories do people searching Sports Data Science Internship jobs in Addison, IL look for?

The top searched job categories for Sports Data Science Internship jobs in Addison, IL are:

What cities near Addison, IL are hiring for Sports Data Science Internship jobs?

Cities near Addison, IL with the most Sports Data Science Internship job openings:

Sports Data Science Internship jobs near you
Infographic showing various Sports Data Science Internship job openings in Addison, IL as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,897 per year, or $22.5 per hour.

Data Scientist I supporting social science research, analytics, and AI initiatives

NORC at the University of Chicago

Chicago, IL • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

NORC at the University of Chicago rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

67th of 75 rated research

Job description

Data Scientist I supporting social science research, analytics, and AI initiatives

Apply now Job no: 503928 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Methodology and Quantitative Social Sciences

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Scientist I to join the Methodology and Quantitative Social Sciences department and support innovative research, analytics, and AI initiatives.

The Data Scientist I works collaboratively with methodologists, researchers, statisticians, software developers, and subject matter experts to develop data science and artificial intelligence solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine learning, and computational social science with emerging capabilities in generative AI and large language models (LLMs).

The Data Scientist I will contribute to projects involving structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building machine learning models, creating AI-powered applications, fine-tuning foundation models, implementing retrieval-augmented generation (RAG) systems, and supporting deployment of AI solutions in secure cloud environments.

The ideal candidate possesses strong Python programming skills, experience building reproducible analytical workflows, and a demonstrated interest in applying modern AI technologies to solve complex research and business problems.

Location: This is a hybrid role based in our Washington, DC and Chicago downtown offices, with a minimum of six days per month in the office.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

DEPARTMENT:  Methodology and Quantitative Social Sciences

The Methodology and Quantitative Social Sciences department implements state-of-the-art methodologies and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Methodological and Quantitative Social Sciences department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for gathering, evaluating, and analyzing data from primary and secondary sources. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including research and experimental design, recruitment and retention, instrument design and testing, assessing data quality, evaluating measurement properties of new measures, causal inference methods, machine learning, analysis of clustered data, data visualization, use of novel data sources and technologies to improve data gathering, and building AI solutions that support NORC's research. The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter departments, in addition to leading its own projects.

RESPONSIBILITIES:
  • Collaborate with methodologists and subject matter experts to design, develop, evaluate, and deploy AI-enabled applications that support research and operational objectives.
  • Fine-tune, adapt, or customize machine learning and language models for domain-specific tasks.
  • Build and evaluate retrieval-augmented generation (RAG) solutions using vector databases and semantic search techniques for data and analysis projects in NORC's research focus areas.
  • Develop prompt engineering strategies and evaluation frameworks for generative AI systems.
  • Implement model monitoring, testing, validation, and performance optimization processes.
  • Apply natural language processing techniques for text classification, information extraction, summarization, and content analysis.
  • Support experimentation with AI agents, tool calling, and workflow automation.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in computational social science, data science, computer science or a related quantitative field with social science emphasis.
  • At least 4 years of relevant experience (graduate research, internships, and applied professional experience may be considered).
  • Advanced proficiency in Python.
  • Strong experience with SQL and relational databases.
  • Experience developing software, data pipelines, or analytical applications.
  • Experience conducting statistical analysis and machine learning using real-world datasets.
  • Knowledge of supervised and unsupervised machine learning methods.
  • Experience working with Git and collaborative development workflows.
  • Strong problem-solving and analytical skills.
  • Excellent communication and technical writing skills.
  • Ability to explain technical concepts to diverse audiences.

Preferred Skills:              

  • Familiarity with AI agents and workflow orchestration frameworks.
  • Additional expertise in large and small language models, and machine learning, in working in cloud environments (e.g., AWS, Azure, GCP), and with command-line workflows (e.g., in bash).
  • Developing machine learning models, data pipelines, and AI-powered applications, as described above, to support social science research.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

SALARY AND BENEFITS:

The pay range for this position is $90,000-$100,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: August 28, 2026 Central Daylight Time Applications close:

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