Support the Strategic Pricing Manager and partner with Sales, Product, Marketing, Finance, and IT
Use tools such as SQL, Python, Power BI, and other analytics platforms to extract, analyse, and interpret large datasets
Identify trends, patterns, and opportunities to improve pricing, sales performance, customer segmentation, and operational efficiency
Develop, validate, and deploy predictive models including forecasting, segmentation, and optimisation models
Collaborate with IT and Data Engineering teams to design scalable data pipelines and automate analytical processes
Design and maintain dashboards and reporting suites that provide performance visibility and key business metrics
Support strategic initiatives through advanced modelling, scenario analysis, and clear communication of technical insights to stakeholders.

Demonstrated experience in Data Science, Advanced Analytics, or Statistical Modelling
University degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline
Strong knowledge of statistical methods, predictive modelling, and machine learning techniques
Advanced proficiency in Python (e.g., pandas, scikit-learn), SQL, and Power BI or similar BI tools
Experience working with structured and unstructured data
Proven ability to collaborate with business stakeholders and communicate insights effectively.

Data Scientist

Key skills