Data Scientist; Pricing

Position: Data Scientist (Pricing)
DATA SCIENTIST (PRICING) £480 - £530 PER DAY OUTSIDE IR35 HYBRID (1-2 DAYS PER MONTH IN THE OFFICE - LONDON) 7 MONTH CONTRACT THE COMPANY:
Join a global media business with a key focus on improving commercial visibility, pricing strategy, and revenue management processes.

THE ROLE:

As a Data Scientist, you will work closely with commercial stakeholders across a specific European market to help shape and deliver revenue management and pricing analytics solutions. Each market is at a different stage of maturity, meaning this role will combine structured delivery work with more exploratory and discovery-led problem solving. You will be responsible for translating commercial questions into analytical requirements, building dashboards and reporting solutions, and supporting wider pricing and revenue optimisation initiatives.

As a Data Scientist, your key responsibilities will include:
Building analytical solutions to support pricing and revenue management decisions Developing dashboards and reporting outputs in Tableau Writing complex SQL scripts and exploratory analyses Conducting advanced analysis around pricing, inventory demand, capacity forecasting, and commercial performance Working with stakeholders to understand business challenges and translate them into data requirements Supporting the creation of tools and frameworks that influence pricing decisions across multiple markets Collaborating within an agile squad environment alongside Data Scientists, Analytics Engineers, and commercial stakeholders Presenting findings to both technical and non-technical audiences YOUR

SKILLS AND EXPERIENCE:

The successful candidate will have:
Strong hands-on SQL experience Strong Tableau experience Python experience for advanced modelling, forecasting, optimisation, or exploratory analytics Experience working on pricing, revenue management, commercial analytics, or forecasting projects Strong stakeholder management and communication skills Experience working closely with commercial or operational teams The ability to translate business problems into analytical solutions Experience working within agile squads and cross-functional environments Comfort working with ambiguity and helping shape early-stage analytical initiatives

Experience with in media or advertising environments would be highly beneficial

HOW TO APPLY:

Please register your interest by sending your CV to Mojola Coker via the apply link on this page.