Data Scientist (Experimentation) in London

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Job Description

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.
  

Desired Skills and Experience

LinkedIn Skills & Experience Summary:
Pricing Optimisation · Promotional Analytics · Experimentation (A/B Testing) · Elasticity Modelling · Commercial Strategy · Statistical Analysis · Regression & Hypothesis Testing · Scenario Modelling · SQL · Python · R · Data Storytelling · Insight · Cross-Functional Stakeholder Management · Logistics & Supply Chain Analytics

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