Pricing Data Scientist

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.