Fall 2026

Data Science Intern

Music & Audio

Updated on 8/1/2026

Melotech

Melotech

No salary listed

London, UK + 4 more

More locations: San Francisco, CA, USA | Los Angeles, CA, USA | New York, NY, USA | Berlin, Germany

Remote

Remote role with regular global offsites.

Category
Data & Analytics (1)
Required Skills
LLM
Python
Data Visualization
Data Science
Machine Learning
Data Engineering
Tableau
AWS
Data Analysis
Requirements
  • Pursuing a degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative or technical field.
  • Expert-level Python proficiency with standard data science and machine learning frameworks.
  • Experience scraping and acquiring raw data from new sources and building solutions to access hard-to-reach datasets beyond standard application programming interfaces.
  • Production model deployment experience, including infrastructure and monitoring.
  • Experience working with large language models and agentic coding tools for data workflows.
  • Experience analyzing data and translating statistical findings into actionable business strategies.
Responsibilities
  • Discover and exploit new, untapped data sources through creative scraping techniques.
  • Build data processing pipelines from scratch to handle raw, unstructured data.
  • Use large language models and agentic coding tools to accelerate data cleaning and analysis workflows.
  • Spin up Amazon EC2 instances for real-time data collection and automated scraping operations.
  • Prototype and deploy machine learning models on Amazon Web Services for real-time predictions and content analysis.
  • Create custom dashboards and reports to communicate insights to leadership.
  • Analyze trends, audience behavior, and performance metrics to guide business decisions.
Desired Qualifications
  • Hands-on data science experience in fast-paced business environments across Tier 1 consultancies, Big Tech companies, high-growth start-ups and scale-ups, or media industry leaders.
  • Extensive hands-on experience with agentic coding tools and large language models for data workflows.
  • Advanced data visualization skills using standard libraries or Tableau.
  • Strong collaboration skills across engineering, product, and business teams.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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