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
- 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 within media or advertising environments would be highly beneficial
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
- 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 within media or advertising environments would be highly beneficial
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