Data Science Intern

<div class="content-intro"><p><strong>About Wurl, LLC.</strong></p> <p>At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.</p> <p>In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.</p> <p>&nbsp;</p></div><h3><strong>About the role:</strong></h3> <p>Wurl is seeking an intern with proven academic achievements in data analytics related fields for a year long internship. Wurl’s position in the video and ad delivery ecosystem generates large quantities of data that needs to be carefully analyzed and normalized. We’re looking for an intern that can become familiar with Wurl’s datasets and their usage and support our Data Science and Machine Learning team. The ideal candidate is a PhD / MSc in the field of DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.</p> <p>&nbsp;</p> <h3><strong>Responsibilities:</strong>&nbsp;</h3> <ul> <li>Perform analysis tasks to identify anomalies and their root cause as well as propose and put in place validations to programmatically identify such conditions</li> <li>Propose methods to normalize the data, implement them, check accuracy and iterate until sufficient accuracy is achieved&nbsp;</li> <li>Increase the accuracy of derived datasets and data products</li> </ul> <p>&nbsp;</p> <h3><strong>Qualifications:</strong></h3> <ul> <li>Education -&nbsp;</li> <ul> <li>PhD / MSC preferred. BSc with high gpa, multiple majors, notable projects is also accepted</li> <li>Field: DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science</li> </ul> <li>Technical <ul> <li>Graph algorithms and network analysis</li> <li>Large-s