Pricing Data Science & Automation Manager

Castrol is one of the world's leading lubricant brands, serving customers and consumers in the automotive, marine, industrial and energy sectors. Castrol brands are recognised globally for their premium quality and high performance, shaped by the company's commitment to innovation and cutting-edge technology. With products sold in more than 150 countries, Castrol has helped keep things moving on roads and racetracks, air, sea, and space for over 125 years.

Whether you're just starting out or ready for your next big move, you're in the right place to explore an exciting career with Castrol.

You'll join Castrol's Global Pricing team, reporting to the Global Strategic Pricing Manager and leading a small team of data scientists and analysts. Working alongside colleagues with pricing and commercial expertise, you'll combine technical problem-solving with developing others, turning your team's analysis into decisions that improve revenue, margin and product mix.

Which pricing questions are worth solving, and how do you turn the answers into something the business can use? You'll help connect the commercial problem, the analytical approach and the practical solution.

• Find where margin is being lost across discounts, rebates and trade investments. Quantify the opportunity, recommend corrective action and support governance of pricing corridors, floors and exceptions.
• Help the business make better product-price-pack and portfolio choices across DIY, DIFM and B2B channels. Explore customers, segments, specifications, pack sizes and tiers to inform price positioning and the price steps between offerings.
• Develop and deploy models for elasticity, demand forecasting, willingness to pay, price sensitivity, scenarios and price optimisation, translating the results into recommendations people can act on.
• Turn recurring work into repeatable tools. Design automation for price changes, analysis, reporting and decision support, reducing manual intervention and making solutions usable across markets.
• Lead and develop your analytical team, encouraging commercial curiosity and innovation. Set priorities around business value, plan projects and help colleagues turn their technical work into practical outcomes.
• Partner with Pricing, Sales, Finance and Marketing, using clear explanations of the evidence to influence senior stakeholders and connect analytical findings to commercial decisions.

Success means more than delivering a model: it means measurable commercial impact, pricing processes that need less manual effort, and a team that understands its priorities and develops its capabilities.

You don't need a long management career behind you. You'll need technical depth, evidence that your analysis makes a difference, and the aptitude to help others do their best work.

• A university degree or higher, with proven experience in pricing analytics, data science or operations research, ideally in a commercial environment.
• Strong mathematical and statistical modelling skills, including regression, machine learning and segmentation, and the ability to apply them to questions such as demand forecasting, elasticity and price optimisation.
• Proficiency in analytical tools such as Python, R and SQL and visualisation platforms such as Power BI or Tableau, with experience working with large datasets and building scalable solutions.
• Evidence of translating analysis into business impact, supported by commercial judgement, problem-solving and decision-making skills.
• The ability and aptitude to lead and develop a small analytical team. Previous leadership or mentoring experience is valuable, but strong technical candidates with less management experience will also be considered.
• Exper…