About Wurl, LLC

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.

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
Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023
BIG Innovation Awards winner in 2024 and 2025
“Innovation in Advertising” winner by the StreamTV Awards in 2024

About the Role

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 need to be carefully analyzed and normalized. We’re looking for an intern who can become familiar with Wurl’s datasets and their usage, supporting our Data Science and Machine Learning team.

The ideal candidate is a PhD/MSc in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science.

Responsibilities

Perform analysis tasks to identify anomalies and their root cause, and propose validations to programmatically identify such conditions
Propose methods to normalize data, implement them, check accuracy, and iterate until sufficient accuracy is achieved
Increase the accuracy of derived datasets and data products

Qualifications

Education

PhD/MSc preferred; BSc with high GPA, multiple majors, or notable projects also accepted
Fields: Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science

Technical

Graph algorithms and network analysis
Large-scale data analysis
Data quality and anomaly detection
Agentic/AI-assisted software development
Familiarity with distributed data platforms (Snowflake/Databricks)
Strong Python and SQL
Applied statistics and probability
Machine learning fundamentals
Experiment design and causal reasoning
Optimization/decision-making under uncertainty
Ability to write clean, maintainable analytical code
Non-agentic development experience is mandatory

Nice to Have – Modeling/Research

Comfortable evaluating models beyond headline metrics
Experience moving from research idea → prototype → validated result
Ability to translate ambiguous problems into mathematical/statistical formulations
Strong intuition for uncertainty, bias, variance, and noisy data
Strong quantitative reasoning and mathematical knowledge

Nice to Have – Problem Solving

Ability to recognize when results look wrong
Comfortable working with incomplete, messy, or contradictory data
Advanced analytical problem-solving ability
Strong debugging and root-cause analysis skills
Ability to form and test hypotheses quickly

Personal Attributes

High intellectual curiosity
Strong ownership and initiative
Rapid learner and independent thinker
Comfortable challenging assumptions
Willingness to continue digging into anomalies until they make sense
Effective communication skills and team player

What We Offer

Paid internship ($30/hr) with flexible scheduling
Remote-first work culture and support
Mentorship from experienced engineers and product experts

Data Science Intern