Pricing Ops Research & Data Analyst

About the role

Reporting to the Pricing Data Science & Automation Manager as part of Castrol's Global Pricing Team, the Pricing Operations Research & Data Analyst plays a critical role in advancing Castrol's pricing capability through advanced analytics, modelling & automation. This role sits at the intersection of data science and commercial decision-making, applying operations research and analytical techniques to solve complex pricing challenges. The successful candidate will develop scalable models and insights that directly improve price realization, optimize gross-to-net performance, and drive profitable growth across products, customers & channels. You will be responsible for turning data into actionable pricing recommendations, supporting smarter, faster & more consistent decision-making across the business. What you will deliver Experience in data science, operations research, pricing analytics, or commercial analytics Strong problem-solving capability with a quantitative mindset Demonstrated ability to translate analytical outputs into business impact Exposure to pricing, revenue management, or commercial strategy is highly advantageous Statistical modelling / econometrics Optimization techniques (e.g., linear programming, scenario optimization) Demand modelling and price elasticity Data manipulation and analysis (Python, R, SQL for example) Build and maintain models to address core pricing challenges: Price elasticity and demand forecasting Willingness to pay and price sensitivity Scenario modelling and price optimization Apply operations research techniques to solve pricing and portfolio optimization problems Continuously refine models to improve accuracy, scalability, and commercial relevance Drive gross-to-net analytics & price realization Deliver insights to improve product mix, price positioning, and portfolio structure Analyze performance across: Channels (DIY, DIFM, B2B) Customer segments and key accounts Pack sizes, specifications, and price tiers Support development of price ladders and segmentation strategies Build reusable analytical tools, models, and dashboards Support automation of pricing workflows and reporting processes Improve speed and consistency of pricing decision-making through scalable solutions Contribute to the evolution of pricing tools (e.g., Nova, dashboards, analytics platforms) Turn complex analytical outputs into clear, actionable recommendations Support cases with quantified revenue and margin impact Work closely with Pricing, Sales, Finance, and Marketing teams to embed insights into decisions Contribute to insight-led storytelling for senior partners What you will need to be successful Experience in data science, analytics, or operations research University degree or equivalent experience or higher Strong background in statistical or econometric modelling Experience working with large datasets and extracting insights Experience in pricing, revenue management, or commercial analytics Exposure to trade spend / gross-to-net analytics Experience in FMCG, automotive, energy, or B2B industries Strong analytical and quantitative problem-solving skills Demonstrated ability to solve complex analytical problems Proficiency in one or more analytical programming languages (e.g., Python, R) & data querying tools Strong SQL and data manipulation capability Experience with data visualization tools (e.g., Power BI or similar) Familiarity with optimization techniques and modelling approaches Exposure to automation tools, workflows, or APIs is advantageous Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees' lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This posit