ZipRecruiter

Log In

1

Sports Data Science Internship Jobs in Addison, IL

Walker Consultants

Data Platform Engineer

Chicago, IL · Hybrid

$85K - $120K/yr

This role will work closely with the Data Science function, Finance, and IT stakeholders to improve ... role (internships/co-ops count). * Experience developing or supporting Power BI reports and ...

previous page

Showing results 41-60

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 Aug 10, 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 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 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 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 10% Internship, 60% Full Time, 28% Part Time, and 2% Contract. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $46,897 per year, or $22.5 per hour.

Data Integrity Manager

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 7 days ago

United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 341 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines

Job description

Description
Caring is one of United's most important principles. And no one exemplifies that more than our Customer Contact Center team, who helps our customers with everything from booking and managing reservations, to questions about their travel, MileagePlus accounts, and so much more! Are you a people person? Do you get fulfillment from helping others? Then join a team that cares for our customers and makes a positive impact on their travel experience, every single day.
Job Overview and Responsibilities
The Manager of Data Integrity & Knowledge Architecture is responsible for the readiness, structure, and continuous quality of the data and knowledge assets that are leveraged by customer-facing automation platforms. Ensures that the automation has immediate access to clean, verified, and well-structured data. Will bridge the gap between Customer Support & Advocacy operations, Brand, Content, and Data Governance to drive automated and personalized resolutions with the most accurate data.
  • Redesign traditional, human-readable knowledge articles and FAQs into structured, modular data blocks optimized for retrieval-augmented generation (RAG) and semantic search used by Generative AI and agentic
  • Ensure a single source of truth across all channels
  • Establish and enforce strict data quality, deduplication, and standardization rules for customer profile data, transaction histories, and interaction metadata
  • Ensure that standard data is sanitized and formatted across systems so AI models can accurately read and interpret
  • Partner direction with digital technology, customer profile, and data scientists to map out data dependencies required for automation. Audit production journeys to understand real-time experience, latency issues, response accuracy, ability to read/write to internal systems, and enabling automation to perform transactions
  • Create a robust feedback loop by analyzing automated 'fallbacks' or classification failures caused by data gaps. Review transcripts and system logs to identify missing or inaccurate knowledge articles, broken data fields or unmapped backend logic, continuously tuning the data layer to drive customer resolution
  • Collaborate with Information Security and other privacy teams to ensure channels strictly comply with privacy regulations and manage data-masking rules to prevent personally identifiable information (PII) from leaking into LLM training logs or unauthorizied third-parties

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Bachelor's degree or related experience
  • Management Information Systems, Data Science, Informatics, or a related field that is heavily analytical/systems-driving discipline
  • Enterprise content/knowledge management certification or a formal data governance credential
  • 3+ years of experience managing enterprise data quality, master data management (MDM), or content/knowledge base architectures
  • 2+ years working directly within or supporting a complex contact center technology stack
  • Deep expertise in structuring content for optimal search, resue, and machine consumption
  • Understanding how to transition from long-form text documents to modular, snippet-based data structures
  • High literacy regarding how data travels from backend systems to front-end chat/voice interfaces
  • Ability to trace complex customer journey across disparate legacy backends and identify where data silos will break automated conversations
  • Familiarity with Generative AI concepts and prompt writing
  • Exposure to AI platforms such as Copilot, ChatGPT, Gemini, Claude, Perplexity, and NotebookLM
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualification
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Master's degree or related experience
  • Master of Science in Data Governance, Business Analytics, Knowledge Management or equivalent field
  • Data infrastructure certification or platform certification in enterprise knowledge management tools
  • Direct experience preparing corporate data or content management architectures for a large-scale Conversational AI, LLM, or automated self-service deployment that achieved significant deflection/containment metrics
  • Strong conceptual understanding of semantic search function to ground LLMs and reduce AI hallucinations
  • Familiarity with how data is logged, stored, and routed within major platforms
  • AI ethics on string-masking, tokenization, or hashing to protect sensitive customer data at point of intake
  • Hands-on experience using AI tools in projects, internships, or work environment
  • Knowledge of automation platforms such as Power Automate, Copilot Studio, Zapier, or n8n

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

Social media

FacebookTwitter

View All United Airlines Jobs

Apply