Churney is a Copenhagen team of researchers, engineers and client-facing data scientists. All four co-founders hold PhDs from the University of Copenhagen and still build the product. Our research covers causal inference, bandits and online learning, sequential models, recommender systems and NLP.
Selected credentials
Causal inference
Brian Brost started Spotify's work on maximizing the impact of promotional campaigns with causal machine learning.
User modelling
Casper Hansen's research on user modelling and recommender systems.
Sequential models
Christian Hansen's work on machine learning for sequential data in search and recommendation.
Online learning
Saeed Masoudian worked on online learning and multi-armed bandits as a postdoc at the DeLTA lab.
Statistics
Benjamin Zeymer Christoffersen holds a PhD in Statistics and now heads data engineering.
Active learning and NLP
Florian Laws researched active learning and natural language processing before building ML systems at startups.







We're hiring
Both roles work directly with clients and own the outcome. Copenhagen, hybrid.
Data science
Connect warehouse data, run our pLTV pipelines, design the experiments and show clients the lift. Strong Python and SQL. Junior and experienced candidates welcome.
See the role →Client engagement
Own client relationships end to end, from onboarding to scaling pLTV across their ad accounts. Hands-on experience with Google, Meta or TikTok campaigns.
See the role →One 30-minute call. We look at your setup and tell you plainly whether pLTV is worth testing.