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. 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. 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. DataScienceJobs HiringNow MachineLearning PythonJobs SQL MusicTech LondonJobs HybridWork