LADbible Group

Founded in 2012, LADbible Group has redefined entertainment and news for a social generation. With a global presence, and offices in the UK, Ireland and Australia, LADbible Group has grown to become one of the biggest social publishers in the world with a global audience approaching a billion. LADbible Group operates across all major social publishers including Facebook, TikTok, Snapchat, Instagram and YouTube and reaches 69 million monthly users across its five websites including LADbible, UNILAD, Tyla, SPORTbible and GAMINGbible. It has been widely recognised across the industry for its impactful and perception-changing campaigns. From award winning social good campaigns such as ‘Trash Isles’ which won eight Cannes Lions, to most recently ‘Blood Without Bias’ that has been awarded 27 times to date [including D&AD Awards, Campaign Media Awards, Marketing Society Brave Awards and most recently The Drum Social Purpose Grand Prix], LADbible Group is the number one authoritative voice in social media and knows how to drive engagement and impact on a global scale.

30/12/2021
Full time
LADbible Group London E1, UK
We’re looking for an experienced, commercially minded Head of Data Science and Engineering to join our Data, Intelligence and Planning team. We’re looking for someone who started as a practitioner, so they have a deep understanding of the work their teams are doing, but are now more focused on strategy, stakeholder management and delivery What will you be doing? Manage LADbible Group’s data engineering, data science and analytics teams. Build upon, and be accountable for, our overall data roadmap and timely delivery of projects. Manage projects and initiatives throughout their full life cycle. Collaborate with other departments to ensure data is in the hands of those that need it. Support other departments to meet their KPIs through the collection and analysis of data. Champion the data function at LADbible Group both internally and externally. Proactively seeking out new use cases for data use. Identify opportunities for commercial use of data led tools and...