Basketball Analytics Intern (Current Student, Summer 2027)

Utah JazzUtah JazzSalt Lake City, Utah, United States
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Posted

10/1/2026

Employment

Part time, Internship

Range

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Work style

On-site

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AI summary

Core responsibilities

The intern will conduct in-depth basketball analytics projects to support decision-making within Basketball Operations. Responsibilities include cleaning datasets, developing machine-learning models, and presenting findings to key stakeholders.

Requirements overview

Applicants must be currently enrolled in an undergraduate or graduate program in a quantitative field such as statistics, data science, or computer science. Candidates should have at least one year of experience using Python or R and a strong passion for basketball analytics.

Key skills

PythonRStatistical ModelingMachine LearningData ScienceData AnalysisSQLGitBasketball AnalyticsModel ValidationData CleaningPredictive ModelingTechnical CommunicationStatisticsComputer Science

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Education requirements

bachelor degreepostgraduate degree

About Utah Jazz

Industry

Spectator Sports

Employees

642

Type

Privately Held

Size

51-200 employees

The Utah Jazz is a professional basketball team based in Salt Lake City, Utah. They are currently part of the Northwest Division of the Western Conference in the NBA (National Basketball Association). Originally located in New Orleans, Louisiana, the franchise began in 1974 as the New Orleans Jazz and the18th professional basketball team to enter the NBA. Despite drawing well, the franchise struggled and was eventually moved to Salt Lake City, Utah in 1979 after just five years in the league. In 1985, Larry H. Miller became co-owner of the still struggling organization, and then a year later, purchased the remaining portion from Sam Battistone to become the sole owner. The Jazz has since become one of the more successful teams in the league with frequent post-season playoff appearances, including consecutive appearances from 1984 to 2004, as well as two NBA Finals appearance in 1997 and 1998.

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Job categories

Data & AnalyticsSports & RecreationTechnologyScience & Research

Description

Description JOB SUMMARY: The Utah Jazz are seeking a basketball analytics intern for Summer 2027. Applicants must be current students who are adept in a relevant technical area (computer programming, statistics, data science, etc.), and passionate about basketball. The intern will spend 10-12 weeks working on basketball analytics projects that match their skillset. The intern will spend part of the summer onsite in Salt Lake City. DUTIES & RESPONSIBILITIES: Conduct in-depth basketball analytics projects that help our team better predict basketball outcomes and facilitate better decision-making across Basketball Operations. Duties may include cleaning, validating, and analyzing basketball datasets; developing and evaluating statistical or machine-learning models to support Basketball Operations decisions; translating findings into practical recommendations for nontechnical stakeholders; and documenting code, methods, assumptions, and model results to support reproducible analysis. Receive mentorship from our experienced group of data scientists and engineers. Present your work to key stakeholders. Exemplify the Utah Jazz mission and values: transparent, all in, community obsessed, one team, and scrappy. Perform other duties, as assigned. COMPETENCIES: Communicates Effectively – Develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. Demonstrates Self Awareness – Uses a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses. QUALIFICATIONS: Currently enrolled in an undergraduate or graduate program in (or equivalently proficient in) statistics, data science, math, computer science, or a related field. Coursework or experience in statistical modeling; machine learning; understanding of model validation, uncertainty, and common analytical pitfalls; and communicating analytical results to nontechnical audiences. 1+ years of experience analyzing data using Python or R. Familiarity with basketball data and the latest basketball analytics techniques. A desire to work in a startup-like environment where you will be empowered to make design decisions. A track record of writing clean and well-documented code. Enthusiasm for basketball. Nice to have experience with SQL and Git. PHYSICAL DEMANDS: This person must be able to communicate and express themselves both written and verbally. This person must be able to observe, inspect, estimate, and assess. This person must be able to sit for long periods of time. The Utah Jazz provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: The need may arise to revise, supplement, or rescind portions of this job description, and Utah Jazz reserves the right to do so at any time. Employees shall be required to meet the qualifications and perform the duties of any revised job description.

Requirements

  • •Python
  • •R
  • •Statistical Modeling
  • •Machine Learning
  • •Data Science
  • •Data Analysis
  • •SQL
  • •Git
  • •Basketball Analytics
  • •Model Validation
  • •Data Cleaning
  • •Predictive Modeling
  • •Technical Communication
  • •Statistics
  • •Computer Science

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