Pricing Data Scientist – SaaS (London)

About the role

This is an exciting opportunity to join a growing SaaS business on a high‑impact contract, helping to shape and deliver advanced pricing optimisation capabilities for the hospitality sector. You will work on innovative projects that directly influence customer decision‑making, combining data science, machine learning, and commercial strategy in a fast‑paced environment.

Key responsibilities

• Design, develop, implement, and maintain pricing optimisation and modelling algorithms.
• Build predictive models focused on customer behaviour, demand forecasting, and price elasticity.
• Develop data‑driven pricing strategies and recommendations for customers.
• Partner with Product, Engineering, Sales, and Customer Success teams to ensure successful delivery of pricing solutions.
• Integrate optimisation models into production environments and continuously improve performance based on real‑world outcomes.
• Support customer experimentation through A/B testing and scenario modelling, while communicating insights to stakeholders in a clear and actionable way.

Required profile

• Strong experience designing and implementing large‑scale pricing optimisation systems.
• Experience working within SaaS, technology, or e‑commerce environments.
• Ability to translate complex technical findings into clear business recommendations.
• Excellent problem‑solving skills and a collaborative approach to working with stakeholders.

Required skills

• Python or R programming.
• Data analysis, manipulation, and statistical modelling.
• Machine learning frameworks and optimisation methods.
• Time series forecasting.
• AWS and deployment of analytical solutions into production.