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Data Scientist (Experimentation)

Harnham
London
2 days ago
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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.

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 Generation · Cross-Functional Stakeholder Management · Logistics & Supply Chain Analytics

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