Job Location: New York, NY
Who we are
Narrative is a global entertainment company that powers the world-wide distribution of television and film. We are harnessing the entrepreneurial energy of a start-up to create prosperity by shaping the future of broadcast entertainment – building on our successful existing business to create exciting new possibilities and change. Among Narrative’s holdings are POP, the UK’s largest free-to-air children’s broadcast network and the Great! Movies network, the UK’s largest free-to-air movie network. Its film, television, subscription, and location-based entertainment businesses are backed by a 2000-title library. Combining our premium broadcast channels with a specialty finance platform and world-class distribution, we are one of the largest collections of media assets in the independent media space.
Narrative’s investment platform, Narrative Capital, has financed and/or produced projects with a dozen Golden Globe and Oscar nominations as well as a BAFTA-win for LION (2017). Our specialty finance platform provides cash-flow solutions across the entire life cycle and global distribution of intellectual property within the entertainment, media, and information sectors. We are harnessing the entrepreneurial energy of a start-up to create prosperity by shaping the future of broadcast entertainment – building on our successful existing business to create exciting new possibilities and change.
About the role
We are looking for a curious and enthusiastic Data Scientist intern to join our team. You will work cross-functionally to ensure that all major decisions are data-driven. You will be supported by a close-knit team of Data Scientists and will have an opportunity to drive projects end-to-end, from ideation to implementation. Your insights will have a direct impact on the future of Narrative Capital.
A SNAPSHOT OF YOUR RESPONSIBILITIES
• Uncover insights to ensure data-driven decision making
• Build inferential, forecasting, and machine learning models to solve business problems
• Design and run experiments to drive an improved streaming user experience
• Build and maintain high quality data infrastructure that is easily used by less technical audiences
WHAT YOU WILL NEED
• Strong SQL and/or data wrangling capabilities via a scripting programming language (Python, R or Scala)
• Knowledge of A/B testing and experiment design
• Knowledge of product analytics and working with event-level data to derive insights
• Solid understanding of machine learning algorithms: supervised learning algorithms, unsupervised learning algorithms, dimensionality reduction techniques
• Strong communication, presentation, and collaboration skills
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