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Contract Role: Data Scientist - Pricing, Promotions & Experimentation
Rate: £550-£600 per day (Inside IR35)
Location: Hybrid - 1 day per week onsite
Duration: 3 months initially
Overview
A leading organisation in the Online Marketplace sector is seeking a highly analytical Data Scientist to drive pricing optimisation, promotional effectiveness, and experimentation strategies. The role focuses on delivering commercial value through data-driven insights, robust modelling, and structured experimentation frameworks that support strategic decision-making across the business.
Key Responsibilities
Promotional Analysis & Strategy:
Conduct deep-dive analyses of promotional activity to uncover trends, performance drivers, and improvement opportunities.
Develop and test data-driven promotional strategies aimed at boosting customer engagement, operational efficiency, and commercial growth.
Measure promotional effectiveness, report on campaign performance, and provide optimisation recommendations.
Pricing Optimisation:
Build and refine pricing models to balance revenue growth, profitability, and competitive positioning across products and customer segments.
Use scenario modelling to assess the commercial impact of pricing decisions and propose optimal strategies.
Required Skills & Experience
Strong expertise in data analysis and applied statistical methods (e.g., regression, hypothesis testing).
Proven experience using data to drive measurable commercial outcomes such as revenue uplift, margin improvement, or market share growth.
Hands-on knowledge of pricing optimisation techniques and experimentation frameworks (e.g., elasticity modelling, A/B testing).
Ability to structure complex analytical problems, translate insights into actionable recommendations, and influence decision-making across cross-functional teams.
Proficiency in SQL, Python, R, or similar analytical toolsets.