Data Scientist

🚀 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.

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