Data Science Intern — ML & Business Impact (Summer)

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly); Philadelphia (Philadelphia County); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

Medical

Dental

Vision

PTO

Employee discounts

Retirement savings

Job summary

URBN is seeking a Data Science Intern to support the Data Science team in designing, building, evaluating, and deploying machine learning models. You will collaborate with data scientists, ML engineers, and data engineers to drive real business impact. The Summer Internship Program runs at URBN's Home Office in Philadelphia, PA, from 6/7 through 8/13.

Applications close at 5:00 PM EST on October 30, 2026. The role offers hands-on learning, exposure to senior leaders, and potential for full-time

Qualifications

• Understanding of machine learning algorithms and predictive modelling.
• Experience with time series analysis, clustering, and classification.
• Familiarity with analytics methodologies and data analysis concepts.

Responsibilities

• Evaluate and build statistical and machine learning models with business impact and time-to-production.
• Support opportunities to add value to the business through statistical and ML techniques and quantify the impact.
• Assist in deploying ML algorithms to production, including training/inference pipelines and data pipelines.

Skills

Understanding ML algorithms

Time series analysis

Clustering

Classification

Tools

SQL

Pandas

NumPy

scikit-learn

ggplot2

TensorFlow

PyTorch

Keras

Job description

URBN is seeking a Data Science Intern to support the Data Science team in designing, building, evaluating, and deploying machine learning models. You will collaborate with data scientists, ML engineers, and data engineers to drive real business impact. The Summer Internship Program runs at URBN's Home Office in Philadelphia, PA, from 6/7 through 8/13.

Applications close at 5:00 PM EST on October 30, 2026. The role offers hands-on learning, exposure to senior leaders, and potential for full-time