Pricing Data Science & Automation Manager

Castrol; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Castrol is seeking a pricing analytics leader to join its Global Pricing team, directing a small team of analysts and data scientists. You will develop models for elasticity, forecast demand, and optimise price strategies across DIY, DIFM and B2B channels, translating insights into actions that improve revenue and margins.

The role emphasizes collaboration with Pricing, Sales, Finance and Marketing, driving measurable commercial impact and scalable analytical solutions across markets.

Qualifications

• Pricing analytics, data science or operations research experience in a commercial environment.
• Strong mathematical and statistical modelling, including regression, machine learning and segmentation.
• Proficiency in Python, R and SQL and BI tools such as Power BI or Tableau.
• Evidence of translating analysis into business impact, supported by commercial judgement.
• Ability to lead and develop a small analytical team; leadership experience is valuable.
• Experience delivering and leading projects with planning, prioritisation and collaboration.
• Fluent written and spoken English.
• Desirable: pricing or revenue growth management experience; exposure to automation tools.

Responsibilities

• Identify where margin is lost across discounts, rebates and trade investments and recommend actions.
• Help pricing decisions for product-price-pack and portfolio across channels and segments.
• Develop and deploy elasticity, demand forecasting, willingness to pay and price optimisation models.
• Create repeatable tools and automate price changes, analysis and reporting.
• Lead and develop the analytical team; set priorities and drive business value.
• Collaborate with Pricing, Sales, Finance and Marketing to influence senior stakeholders.

Skills

Pricing analytics

Data science

Operations research

Statistical modelling

Machine learning

English communication

Education

University degree or higher

Tools

Python

R

SQL

Power BI

Tableau

Job description

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.

Job Description

About the team

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.

Key tasks

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.

Experience Required

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.
• Experience delivering and leading projects, with the initiative, planning, prioritisation and collaborative approach needed to keep work moving.
• Fluent written and spoken English, with the ability to explain complex findings, influence stakeholders at different levels and build relationships within and beyond Global Pricing.
• Desirable: pricing or revenue growth management experience, including gross-to-net, trade spend and portfolio/mix optimisation. Strong transferable data science or operations research experience is welcome, with scope to learn the pricing domain; exposure to automation tools and workflows is highly desirable.

Privacy

The Castrol entity recruiting for this role is the data controller for the personal information you provide. We use it to assess your application and to manage the recruitment and onboarding process. We may share it with service providers who support our recruitment, and it may be transferred to other Castrol entities internationally under appropriate safeguards. We keep it only for as long as necessary. For details of how we use your information and your data protection rights, contact [e-mail].

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to Castrol recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.