🚀 We’re Hiring: Data Scientist | Leading Music Investment Company | London (Hybrid)
Are you a data expert who loves solving real-world problems with predictive models and analytics? Join a leading music rights investment and management company where your models will drive strategic decisions across a catalogue of over 45,000 songs and recordings.
đź“Ť Location: London (3 days per week in-office)
🔍 About the Role
We’re on the hunt for a talented Data Scientist with strong statistical foundations, top-tier Python/SQL skills, and hands-on experience in machine learning. You’ll join a lean, highly ambitious data team and play a key role in modelling music consumption and revenue forecasting. Your insights will help shape everything from new deal strategy to long-term business planning.
🧠What You’ll Do
Develop, deploy, and maintain predictive models to forecast music revenue and consumption
Identify and test features that drive music royalties
Collaborate with technical and non-technical teams to communicate insights
Build visual tools or dashboards to monitor model outputs
Write clean, maintainable, and well-documented code
Share ideas to improve and evolve our data platform
🎯 What You Bring
Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy)
Strong statistical reasoning and analytical mindset
Ability to explain complex concepts to diverse stakeholders
Self-starter attitude with curiosity and drive
A degree in Data Science, Math, Statistics, or Computer Science preferred
4+ years of experience (we're flexible for exceptional candidates)
🎧 Industry experience not required — just passion and skill.
đź› Hiring Process
60-minute technical interview
2-hour in-person case study + deep dive with our data team
30-minute conversation with our CFO
Ready to help build the future of data-driven music investment?
👉 Apply now to join a team where data truly drives the beat.
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