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# Data Scientist - Data & Insights

- **Company:** AKA UK
- **Location:** Greater London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Asana, Information Engineering, Data Visualization, Python (Programming Language), Machine Learning, Open Source Technology, Azure Machine Learning, Tableau (Software), Snowflake
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2856357647-data-scientist-data--insights

## About the Role

* Advanced degree (Master's or PhD preferred) in Data Science, Mathematics, Economics or related analytical disciplines
 * 3+ years of experience in forecasting or building/leveraging robust modelling capabilities
 * Experience with statistical or probabilistic matching/record linkage techniques (e.g. fuzzy matching, deterministic and probabilistic identity resolution), or a strong theoretical grounding in the underlying methods
 * Proficiency in modelling and/or machine learning tools and techniques within Python
 * Excellent quantitative, problem-solving, and critical thinking skills

Good to have

 * Prior use of Snowflake
 * Experience in Media Mix Modelling, ideally using Open Source tools such as Robyn or Meridian
 * Data Visualisation experience within Tableau or Similar
 * Experience using or building Machine Learning Models or AI solutions
 * Experience working in or with entertainment/media companies
 * Proficiency in using project management tools such as Asana
 * Comfortable communicating technical concepts to non-technical stakeholders and supporting analysts
 * A keen interest in entertainment, culture, and understanding audience behaviour

## Description

* Develop, evaluate and apply models to anticipate demand, campaign performance and ROI across entertainment and cultural products
 * Design and evaluate data matching and identity resolution logic (deterministic and probabilistic) for linking customer and audience records across disparate data sources, working closely with Data Engineering to translate this into production pipelines
 * Apply statistical linkage and matching techniques (e.g. fuzzy matching, probabilistic record linkage, blocking strategies) to support the development of AKA's composable CDP
 * Conduct economic and commercial analysis to support pricing, distribution, audience targeting, and investment decisions and build wider media strategies
 * Build and assess Econometric Models to drive client strategy
 * Translate complex model results into actionable strategies for both internal and client-facing outputs
 * Stay abreast of current entertainment market dynamics, economic modelling approaches, and forecasting tools
 * Contribute to the creation of client reports, pitch decks and internal innovation initiatives


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