Data Science, Music & Audio in London

Melotech is revolutionising media and entertainment. We create art through technology for humans to enjoy. In just 18 months, our work has been heard, watched and loved for over 2 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world‐class angels from firms such as Spotify, Blackstone and KKR.

Join us as our first dedicated Data Scientist to bring order to the chaos of culture. You will extract insights from hard‐to‐reach data sources to tackle the big questions: What cultural trends are emerging that everyone else is missing? How can we predict virality? And what factors characterise an underserved category? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:

• Discovering and exploiting new, untapped data sources through creative scraping techniques
• Building data processing pipelines from scratch to handle raw, unstructured data
• Using LLMs and agentic coding tools to accelerate data cleaning and analysis workflows
• Spinning up EC2 instances for real‐time data collection and automated scraping operations
• Prototyping and deploying ML models on AWS for real‐time predictions and content analysis
• Creating custom dashboards and reports to communicate insights to leadership
• Analysing trends, audience behaviour, and performance metrics to guide business decisions

We look for battle‐tested data scientists who understand that real impact comes from turning messy, unstructured data into business‐critical insights that drive company direction. You are someone who doesn’t just build models; you solve complex business problems by finding creative ways to access hard‐to‐reach data and translate statistical findings into actionable strategies. Typically, your profile will look like this:

• Degree in Data Science, Statistics, CS, Physics, Math, or related quantitative/technical field
• 3+ years of 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
• Expert‐level Python proficiency with standard data science and ML frameworks
• Experience scraping and acquiring raw data from new sources, building creative solutions to access hard‐to‐reach datasets beyond standard APIs
• Extensive hands‐on experience with agentic coding tools and LLMs for data workflows
• Production model deployment experience including infrastructure and monitoring
• Advanced data visualisation skills using standard libraries or Tableau
• Strong collaboration skills across engineering, product, and business teams
• You thrive in a fast‐paced and performance‐oriented environment
• Colleagues would describe you as hard‐working, ambitious and persistent
• You’re obsessed with music, video or social media

You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You’re not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global off‐sites where we strategise, bond, and push boundaries together.

We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin, you can progress from start to offer within a week, depending on how quickly you can move through each stage:

• Online assessment: Motivational questionnaire and aptitude test – are you made for the job?
• Initial interview: 30‐minute introductory call – getting to know you
• Take‐home case study: Real‐world project – showcase your skills and working style
• Case interview: 90‐minute case discussion – present and debate your results with a team member
• Founder interview: 90‐minute interview with our CEO – going deep on all topics
• Team interview: Individual or group interview with other team members – depending on position
• Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.