Data Scientist

Stanton House; London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Join a leading music rights investment and management company as a Data Scientist. You will leverage your strong statistical foundation and top-tier Python and SQL skills to develop predictive models that drive strategic decisions across a vast catalogue of music. This is an exciting opportunity to be part of a dynamic data team that is shaping the future of music investment through data-driven insights.

Qualifications

• 4+ years of data science experience with strong statistical foundations.
• Proficiency in Python, SQL, and ML libraries is crucial.
• Ability to explain complex concepts clearly to diverse stakeholders.

Responsibilities

• Develop, deploy, and maintain predictive models for music revenue forecasting.
• Collaborate with teams to communicate insights effectively.
• Build visual tools to monitor model outputs.

Skills

Python

SQL

Machine Learning

Statistical Reasoning

Education

Degree in Data Science, Math, Statistics, or Computer Science

Tools

SKLearn

XGBoost

Numpy

Job description

Direct message the job poster from Stanton House

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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