Data Scientist

Reporting to our Director of Data Science, Investment Analytics, you will create an impact within our Investment Analytics practice and help with the Paid Media data applications that Jellyfish uses to lead expertise, improve, and transform solutions and services for our clients. You'll help lead complex data science solutions, guiding multi-capability presentations, and taking ownership of advanced measurement and testing for our clients.

Responsibilities

Help lead complex data science solutions; Guide multi-capability presentations; Take ownership of advanced measurement and testing for our clients; Analyse data to discover hidden trends; Deliver insights and analysis with clear applicable recommendations; Dedicate time to explaining and promoting the use of data science methodologies such as Geo-based Incrementality, Experiments, Media Mix Models, Causal Impact Studies, and other statistically sound testing approaches; Ensure these methodologies enhance campaign performance for existing clients, providing tangible improvements and insights; Develop and implement predictive models to improve media performance, customer experiences, revenue generation, and other outcomes; Work with platform partners to grow the suite of mathematical techniques for Incrementality Testing, Media Mix Modelling and Data Clean Rooms using both open-source and in-house code to create an excellent offering for clients; Document analytics projects in a manner that ensures specific processes can be replicated and scaled across an organisation

Requirements

Programming proficiency in Python and SQL; 3-5 years of experience in a data role; Proficiency in visualising data using Tableau, Looker, Matplotlib, or equivalents; Knowledge of the marketing ecosystem and measurement framework, including paid display, search, social, video, organic, web, and app; Experience analysing media and web data, such as Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics; Familiarity with media measurement solutions, such as media mix modelling, incrementality, and attribution models; You seek and implement solutions to improve and automate processes; A collaborative mindset—you value diverse perspectives, work well in teams, and are motivated by shared goals; Problem-solving skills—when faced with challenges, you work with others to explore options and identify practical solutions

Nice to have

Understanding of machine learning concepts; Hands-on experience with machine learning concepts

Benefits

Discretionary annual bonus scheme; Work remotely for up to 60% of your days; Flexible working hours; 14 weeks of paid leave for primary caregivers; 4 weeks of paid leave for secondary caregivers; £1000 (or equivalent) towards courses for returning primary caregivers