About the role#
Pattern is looking for a Data Science Intern to join our team for the Summer 2027 term. This is a full-time, 12-week internship based in Lehi, Utah. You will work on a high-priority project that aligns with your skills and our current needs, providing you with direct mentorship from our Data Science team.
What you'll do#
- Partner with business stakeholders to identify, scope, and build models and pipelines.
- Perform advanced data wrangling and model building.
- Evaluate the performance of your projects.
- Drive the adoption of data science tools and best practices.
- Collaborate with team members to implement actionable solutions.
- Take full ownership of your assigned projects and see them through to completion.
- Complete all assignments in a timely manner.
What you'll need#
- A strong passion for data.
- Ability to apply data science methods to solve business problems.
- Enrollment in a Data Science or related academic program.
Location & details#
- Location: Lehi, Utah.
- Modality: Hybrid.
- Term: Summer 2027.
- Commitment: Full-time.
- Compensation: This is a paid internship.
About Pattern®
Pattern provides marketplace analytics and product distribution services for premium brands. The company focuses on brand management, retail distribution, and ecommerce growth. Founded in 2013, it operates within the technology and internet sectors. It maintains a staff of 1,001 to 5,000 employees and is based in Lehi, Utah.
How to get in at Pattern®
Applying early at Pattern gives you a distinct advantage because recruiters review applications before the volume becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you submit your materials among the first candidates. Getting your profile in front of the team before the pile grows is a practical way to stand out. You can also reach out to the recruiters behind these roles to ask about the team or a potential referral. Intern Insider surfaces the specific people managing these openings so you can contact them directly, which often improves your response rates compared to waiting in a standard queue.
