2025 Summer Internship, Causal Machine Learning Research Scientist - PhD

Spotify, the world's leading audio streaming platform, is seeking a Causal Machine Learning Research Scientist intern for Summer 2025. This paid 10-week internship offers a unique opportunity to work at the intersection of causal inference and machine learning, helping unlock human creativity through innovative research and practical applications.

The role involves conducting cutting-edge research in causal inference and applying these techniques to improve decision-making across Spotify's products. As part of an interdisciplinary team, you'll collaborate with various experts to reshape existing products and develop new ones while contributing to the wider research community through publications.

The ideal candidate should be pursuing a Ph.D. in a relevant field with a focus on causal inference, having published in top-tier conferences. Technical proficiency in programming languages and ML frameworks is essential, along with strong data analysis and problem-solving skills.

This hybrid position is based in London, requiring 3 days per week in office, allowing interns to fully immerse in Spotify's culture through various networking events and collaborative opportunities. The internship runs from June to August 2025, offering hands-on experience in applying causal inference to real-world problems at a company that has revolutionized the music industry.

Spotify values diversity and inclusion, welcoming candidates from all backgrounds to contribute their unique perspectives to their mission of connecting creators with billions of fans worldwide.