Pricing Data Scientist

About the role

Reporting to the Pricing Data Science & Automation Manager, you’ll work with colleagues across Pricing, Sales, Finance and Marketing to turn commercial questions into models and tools people can use.

What you'll do

• Build and refine models for demand forecasting, price sensitivity, willingness to pay and price optimisation, connecting your analysis to real pricing decisions
• Work through analytical problems from end to end: for a price-elasticity question, for example, help define the problem, develop the methodology
• Compare pricing and portfolio scenarios to understand their likely impact on revenue and margin
• Analyse how discounts, trade spend, product mix and customer segments affect the revenue the business retains
• Turn analysis into reusable tools and automated workflows that reduce repeated manual work and make processes faster and more reliable

What you need

• 1–3 years in data science & ai
• Machine learning
• SQL
• Python
• Statistics
• R
• Power BI
• Any graduate

Good to have

• Demand planning