Job Opportunity: Marketing & Data Science - Measurement & Modelling
Location: Hybrid (2 days per week in office for first month, flexible after)Duration: 3 months initiallyRate: £450-480/day (Outside IR35)Commute: 2 hours by train from Central London
Role Overview:This role focuses on marketing effectiveness and data science in the retail industry, with a strong emphasis on email campaign measurement, incremental value, and experimentation. The main responsibilities include finalising the Marketing Mix Modelling (MMM) framework, completing the A/B testing framework, and automating marketing analytics processes. The ideal candidate will have experience in causal inference, MMM, and experimentation.
Key Responsibilities:
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Finalising the MMM framework and modelling (70% complete)
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Building out the A/B testing framework
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Automating marketing analytics processes, particularly around experimentation
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Handling complex data and working with incomplete data
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Measuring campaign impact and refining marketing strategies
Tech Stack:
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Core: Databricks, SQL, Python, PySpark
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Nice to Have: R, dashboarding tools
Ideal Candidate:
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4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
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Proven experience in causal inference, MMM, and experimentation
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Strong communication skills and the ability to explain data-driven insights
Interview Process:
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Stage 1: Technical assessment
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Stage 2: Knowledge-based interview