Data Scientist | Pricing/Forecasting

Data Scientist

Central London - remote first, in twice a month

70,000-80,000 + 10% bonus

Python, Cloud, Pricing/Forecasting, Model Creation

A leading organisation in the live entertainment industry is seeking a Data Scientist with experience in pricing optimisation and forecasting . As the Data Scientist, you will play a pivotal role in shaping how data-driven insights inform key commercial decisions across a dynamic and evolving business.

The position offers flexibility, with the team typically meeting in London twice a month . Applicants across the UK are welcome, provided they can travel to London for these collaborative sessions.

The Role

• As the Data Scientist, you will apply advanced data science techniques to enhance pricing strategies and forecasting accuracy. You will take ownership of developing, implementing and refining variable pricing models and forecasting tools , working closely with revenue management and other commercial teams.
• This is a hands-on, creative role requiring both technical depth and commercial insight. You should be comfortable designing and building models independently , while also collaborating with a range of stakeholders to translate analytical findings into practical business solutions.

Data Scientist Key Responsibilities

• Design, develop, and refine data science models focused on pricing optimisation and demand forecasting.
• Use statistical and machine learning techniques to support commercial and operational decision-making.
• Create and maintain data assets that can be understood and applied across both technical and non-technical teams.
• Collaborate with business and technical partners to embed data-driven methods into core processes.
• Continually explore creative ways to use diverse data sources to improve model performance and business impact.

Data Scientist Skills and Experience

Essential

• Proven experience in pricing optimisation and demand forecasting .
• Strong statistical and analytical skills with the ability to translate complex data into actionable insights.
• Demonstrated ability to build and deploy models independently , from design through to implementation.
• Proficiency in Python and core data science libraries.
• Experience working with large and varied datasets.
• Excellent communication skills, able to explain technical work to non-technical stakeholders.
• A creative, inquisitive mindset and the ability to innovate through data.

Desirable

• Experience in a related sector such as entertainment, retail, or travel.
• Experience balancing scientific rigour with commercial pragmatism.
• Comfortable working both autonomously and collaboratively in a fast-paced environment.

Data Scientist Working Arrangements

The team typically convenes in London twice per month . Candidates can be based anywhere in the UK , as long as they are willing to travel to London for these sessions.