Data Scientist – Pricing Optimisation (London)

About the role

Exciting opportunity for a Data Scientist to join a growing SaaS business on a high‑impact pricing optimisation project. You will develop advanced pricing models that help hospitality businesses make smarter commercial decisions, maximise revenue and improve performance through data‑driven insights.

Key responsibilities

• Develop and implement advanced pricing models and optimisation algorithms to maximise customer revenue.
• Build predictive models to forecast demand patterns, price elasticity and customer behaviour.
• Partner with product, engineering, sales and customer‑success teams to deliver pricing strategies that create measurable business value.
• Work with engineering teams to deploy pricing algorithms into production systems.
• Monitor model performance using real‑world outcomes and continuously refine solutions.
• Enable customers to conduct A/B testing and scenario modelling, providing clear data‑driven recommendations.

Required profile

• Strong experience designing and implementing large‑scale pricing optimisation solutions.
• Advanced programming skills in Python and/or R.
• Proficiency in data manipulation, statistical modelling and analytical problem solving.
• Experience applying machine learning frameworks and optimisation techniques to commercial challenges.
• Understanding of pricing strategy, demand modelling, elasticity analysis and time‑series forecasting.
• Ability to communicate complex technical concepts to non‑technical stakeholders.
• Experience working within SaaS or e‑commerce environments.
• Familiarity with AWS and cloud‑based data science workflows.
• Strong stakeholder management and customer‑facing communication skills.

Required skills

• Python
• R
• AWS