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Technology Recruiter Specialising in Data 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.
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.
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
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Analyst
Industries Staffing and Recruiting
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