Data Scientist (Media)

TL;DR

Data Scientist (Media/Audiences): Developing statistical and machine learning models to understand audience discovery and engagement with an accent on audience measurement, behavioral data, and strategic decision-making. Focus on building reproducible analytical workflows and deploying production-ready ML solutions to optimize content delivery.

Location: Hybrid (average 2 days a week in office) in London or Salford, UK

Salary: £40,000 - £50,000

Company

The hirify.global is a global public service broadcaster and media organization managing some of the largest audience datasets in the world.

What you will do

• Apply statistical and machine learning techniques to analyze audience behavior using digital activity and panel data.
• Design and evaluate analytical models, moving from proof-of-concept to production solutions.
• Develop reproducible analytical workflows using SQL, Python, or R on a dedicated ML platform.
• Translate complex analytical findings and recommendations for non-technical stakeholders.
• Stay current with generative AI and ML developments to promote innovation within the team.

Requirements

• Degree in Mathematics, Statistics, Computer Science, Econometrics, Data Science, or a related field.
• Demonstrable experience applying data science or statistical analysis to solve business problems.
• Proficiency in Python or R, coupled with strong SQL skills for large dataset manipulation.
• Ability to translate ambiguous business questions into practical technical solutions.
• Strong communication skills to convey analytical concepts to non-technical audiences.

Nice to have

• Experience in commercial, research, or consulting analytical roles.
• Experience working with audience activity, online, or panel data.
• Background in building forecasting models and media/audience metrics.
• Experience deploying machine learning models at scale into production.
• Familiarity with Large Language Models (LLMs) and modern AI techniques.

Culture & Benefits

• Opportunity to work with massive, industry-leading media datasets.
• Collaborative environment within a team of 12 specialized Data Scientists.
• Dedicated time for professional development, technical skill exploration, and contributing to best practices.
• Support for flexible working arrangements.