Published 2026-03-24
Key Responsibilities: Develop and maintain predictive pricing models to optimise revenue, margin and competitiveness.
Analyse price elasticity, customer behaviour and promotional impact to inform pricing decisions.
Build models for demand forecasting, promotion optimisation and customer segmentation.
Translate complex analytics into clear commercial insights and actionable recommendations.
Conduct scenario modelling and pricing simulations to support strategic decision-making.
Partner with cross-functional teams including merchandising, marketing, supply chain and e-commerce.
Present pricing insights and recommendations to senior leadership and key stakeholders.
Support the development and adoption of pricing tools and analytics capabilities across the business. Minimum Requirements: Degree in Data Science, Statistics, Mathematics, Computer Science, Econometrics or a related field.
Minimum 5+ years’ experience in Data Science, advanced Analytics or Pricing Analytics.
Strong programming experience in Python and advanced SQL.
Experience building machine learning or predictive models.
Experience working with large datasets and cloud or big-data platforms.
Strong understanding of pricing methodologies, forecasting and commercial analytics.
Ability to translate technical insights into clear business recommendations. Preferred Experience: Experience within Retail, FMCG or e-Commerce environments.
Exposure to pricing optimisation, promotion analytics or revenue management.
Experience with tools such as Power BI, Tableau, Spark, Databricks or similar platforms.
Exposure to A/B testing, causal inference or advanced experimentation techniques. Key Competencies: Strong analytical and problem-solving capability.
Commercial acumen and strategic thinking.
Ability to influence stakeholders through data-driven insights.
Strong communication and presentation skills.
Ability to manage multiple priorities in a fast-paced retail environment. Why Apply?
This is a unique opportunity to play a key role in shaping pricing strategy within a large retail environment, using advanced analytics to influence real commercial outcomes and support strategic decision-making. #J-18808-Ljbffr
