- A strong foundation in mathematics and statistics, with experience applying data science or operations research to analytical problems.
- A university degree or equivalent experience, with evidence of your quantitative and modelling skills through study or practical work.
- An understanding of regression, machine learning, segmentation and optimisation techniques.
- Proficiency in an analytical programming language such as Python or R, alongside strong SQL and data manipulation skills.
- Experience working with large datasets and translating business questions into analytical approaches.
- The ability to build models and turn them into reliable, repeatable tools, beyond producing reports or dashboards.
- The ability to automate analytical processes, from preparing data to delivering usable outputs.
- Clear written and verbal communication, including the ability to explain how you reached a result and what it means.
You don’t need to arrive as a pricing expert. Pricing, revenue management or commercial analytics experience would be useful, but it isn’t essential: you may have developed the relevant skills in banking or another industry, and the team can help you learn the pricing side.
Experience with tools such as Power BI is useful alongside those deeper modelling skills. Familiarity with APIs and automation tools would also help, but these are not essential requirements.
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 privacy.response@castrol.com.
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.
