Who can apply?
- Applicants must be currently enrolled in an undergraduate or graduate program in statistics, data science, mathematics, computer science or a related field, or be equivalently proficient.
- The posting asks for coursework or experience in statistical modeling, machine learning, validation, uncertainty and communicating analytical results to nontechnical audiences.
- Candidates need at least one year of experience analyzing data with Python or R. Familiarity with basketball data and current analytics methods is expected; SQL and Git are listed as helpful rather than mandatory.
Enthusiasm for basketball is not a substitute for the listed analytics preparation. The posting expects current students who can already work with Python or R and reason about statistical models and validation.
Dates, pay & program timing
The internship lasts ten to twelve weeks in Summer 2027, with part of the term on site in Salt Lake City. Projects may include cleaning and validating basketball datasets, building and evaluating models, turning findings into recommendations and documenting reproducible analysis. The posting does not publish one universal class-year minimum, application cutoff or compensation figure, so confirm those terms on the current opening and any written offer.
View the deadline calendarThese details reflect the sources at the review date. An overview is not a live job offer. Check the official page for today's application status and the selected opening's written terms.
How to apply to Utah Jazz
- Read the live posting and check current-student status, the partly on-site schedule and every technical qualification before applying.
- Select one analysis project that shows data cleaning, a defensible model, validation and a conclusion a nontechnical decision-maker could use.
- Apply through the official posting with a resume that names Python or R work precisely, then keep a copy of the job description for interview preparation.
You leave FirstInternships to apply. We do not accept applications, offer referrals, or represent the employer.
Our editorial advice · not employer requirements
How to prepare a stronger application
Publish a small, lawful basketball analysis with a clear question, documented data source, reproducible setup and honest limitations. A simple model you can defend is stronger than a complicated notebook you cannot explain.
Practice translating one result into a basketball decision without pretending the model proves more than it does. Be ready to discuss leakage, sample size, uncertainty and what evidence would change your recommendation.
Your preparation, on this device
Make it a plan.
Checking an item saves this program. These are planning prompts, not a substitute for the employer's full requirements.
Add a stage & next actionUtah Jazz: questions before applying
Do I need to major in sports management?
No. The posting points to statistics, data science, mathematics, computer science or a related field and focuses on analytical proficiency.
Is the Utah Jazz internship remote?
No. The posting says the intern will spend part of the summer on site in Salt Lake City.
Which tools should I know?
At least one year using Python or R is required. SQL and Git are listed as nice-to-have skills.
Official sources & update notes
We reviewed these publisher pages on . They establish the program facts above; our preparation suggestions are independent editorial guidance.
We do not infer deadlines, remote eligibility, or guaranteed offers from older recruiting cycles. Read our editorial process.