Pricing Data Science & Automation Manager

About the role

You will lead a team of data scientists and analysts within the Global Pricing team to drive commercial decisions through technical problem-solving. The role involves developing models for demand forecasting and price optimisation while automating recurring processes to improve revenue and margin. You will partner with cross-functional stakeholders to translate analytical findings into actionable business strategies.

Responsibilities

• Identify margin loss across discounts, rebates and trade investments and recommend corrective actions.
• Support product-price-pack and portfolio choices across DIY, DIFM and B2B channels.
• Develop and deploy models for elasticity, demand forecasting, price sensitivity and optimisation.
• Design automation for price changes, reporting and decision support to reduce manual intervention.
• Lead and develop the analytical team, setting priorities and fostering commercial curiosity.
• Partner with Pricing, Sales, Finance and Marketing to influence senior stakeholders with evidence-based insights.

Required skills

• Pricing analytics
• Data science
• Operations research
• Mathematical modelling
• Statistical modelling
• Regression
• Machine learning
• Segmentation
• Python
• R
• SQL
• Power BI
• Tableau

Nice to have

• Revenue growth management
• Gross-to-net
• Trade spend
• Portfolio optimisation
• Automation tools

Qualifications

• University degree or higher

About the Company

Castrol is a leading global lubricant brand serving customers in the automotive, marine, industrial and energy sectors. With products sold in more than 150 countries, the company has a 125-year history of innovation and high-performance technology.