Harnham
Data Scientist - Pricing & Promotions
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist - Pricing & Promotions in London, offering up to £650/day for an initial 3-month contract. Key skills include strong SQL, Python or R, and experience in regression and A/B testing.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
650
-
🗓️ - Date
December 9, 2025
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Regression #A/B Testing #Python #SQL (Structured Query Language) #Data Science #R
Role description
Data Scientist - Pricing & Promotions
Location: London (1/2 days in office per week)
Salary: Up to £650 a day (Inside IR35)
Contract: 3 months initially (strong potential to extend)
What you'll be doing:
• Design and refine pricing models that balance growth, profit and competitiveness.
• Explore price elasticity and run scenario analyses to predict the impact of pricing decisions on demand and profitability.
• Analyse promotional and campaign data, including A/B tests, to assess performance and recommend improvements.
• Partner with commercial, marketing, and finance teams to turn analytical insights into real-world pricing and promotion strategies.
Tech & Skills:
- Strong SQL (Google SQL in particular).
- Python or R for statistical analysis.
- Experience with regression, hypothesis testing, and other statistical methods.
- Strong communication skills and a commercial focus.This is a fantastic opportunity for a data professional who loves solving complex pricing problems and wants to see their insights drive measurable business outcomes.
Data Scientist - Pricing & Promotions
Location: London (1/2 days in office per week)
Salary: Up to £650 a day (Inside IR35)
Contract: 3 months initially (strong potential to extend)
What you'll be doing:
• Design and refine pricing models that balance growth, profit and competitiveness.
• Explore price elasticity and run scenario analyses to predict the impact of pricing decisions on demand and profitability.
• Analyse promotional and campaign data, including A/B tests, to assess performance and recommend improvements.
• Partner with commercial, marketing, and finance teams to turn analytical insights into real-world pricing and promotion strategies.
Tech & Skills:
- Strong SQL (Google SQL in particular).
- Python or R for statistical analysis.
- Experience with regression, hypothesis testing, and other statistical methods.
- Strong communication skills and a commercial focus.This is a fantastic opportunity for a data professional who loves solving complex pricing problems and wants to see their insights drive measurable business outcomes.
