

Harnham
Data Scientist (Experimentation)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Experimentation) focused on pricing optimization and promotional analysis, offering £550-£600 per day for an initial 3-month contract. Key skills include SQL, Python, statistical methods, and experience in driving commercial outcomes. Hybrid work location.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
600
-
🗓️ - Date
November 21, 2025
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Inside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#Data Analysis #Python #SQL (Structured Query Language) #Storytelling #R #Regression #Data Storytelling #Data Science #Strategy #A/B Testing
Role 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 Generation · Cross-Functional Stakeholder Management · Logistics & Supply Chain Analytics
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






