Overview
As a Senior Data Scientist on the Disney+ Analytics & Insights EMEA team, you will deliver advanced data science projects and forecasting models that uncover customer trends and drive engagement. You’ll work with cross-functional stakeholders across Content, Subscriber Growth, and Local teams to productionalise insights. You will design end-to-end forecasting solutions and continually improve model accuracy. This role sits in London, combining hands-on analytics with storytelling to influence business decisions and strategy.
Pay / Benefits
- 25 days annual leave
- Private medical insurance & dental care
- Free Park Entry for family and friends
- Disney Discounts on products and resort F&B
- Excellent parental and guardian leave
- Employee Resource Groups (WOMEN @ Disney, Disney Mosaic, Disney PRIDE, ENABLED, TRUST)
Responsibilities
- Design, develop and deploy the engagement forecast model end-to-end
- Collaborate with stakeholders to communicate insights and productionalise results
- Tackle ad hoc modelling requests from stakeholders
- Develop and maintain semantic models and extend to agentic AI solutions
- Advise across Disney+ to support data science driven projects
- Support insight analysts to ensure robust results and best practices
- Foster relationships with Global and International Analytics and Data Science teams
- Explore and apply existing Global data science tools in the EMEA context
Key requirements
- Proficient in SQL
- Significant experience in Python, R or other statistical language
- Familiarity with agentic AI solutions preferred
- 4+ years in data science roles
- Strong grounding in experimentation design, time-series forecasting and causal impact methodologies
- Ability to manage multiple priorities with attention to detail
- Strong communication with technical and non-technical audiences
- Experience using consumer behavioural data preferred
- strong communication
- cross-functional collaboration
- flexibility and creative problem-solving
- SQL
- Python or R
- time-series forecasting
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