BBC

Data Scientist

BBC London, ENG, GB
Full-time $50k - $63k Posted 2 days ago

YOUR KEY RESPONSIBILITIES AND IMPACT:

  • check_circle Apply statistical and machine learning techniques to answer business questions and improve understanding of audience behaviour, combining data from multiple sources from digital activity to panel data
  • check_circle Design, develop and evaluate analytical models, ranging from exploratory analyses and proof-of-concepts through to production solutions delivered in partnership with engineering teams.
  • check_circle Develop reproducible analytical workflows using SQL, Python or R on our data and machine learning platform
  • check_circle Develop an understanding of the BBC and wider media markets, to help position models and analysis in real terms, and communicate findings, assumptions and recommendations appropriately to non-technical stakeholders
  • check_circle Keep up to date with latest development in machine learning and generative AI, promoting innovation, best practices and standards across data science work within the team

ESSENTIAL CRITERIA:

  • Degree in mathematics, statistics, computer science, econometrics, data science or related field, or equivalent work experience
  • Strong analytical and problem-solving skills, with the ability to translate ambiguous business questions into practical analytical approaches
  • Demonstrable experience applying data science techniques and/or statistical analysis to solve business problems, translating business problems into practical technical solutions and choosing the appropriate model or algorithm
  • Ability to communicate analytical concepts and findings clearly to non-technical stakeholders
  • Good programming skills in Python or R, alongside strong SQL skills for working with large datasets

DESIRED BUT NOT REQUIRED:

  • Experience in a commercial, research or consulting analytical role
  • Experience working with audiences activity or related online/panel data, in a research, marketing, strategy or product environment
  • Experience building forecasting models, and media/audiences metrics
  • Experience building machine learning models to scale and deploying them into production
  • Familiarity with applying modern AI techniques, including large language models, to analytical or operational problems

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