Job Opportunity: Marketing & Data Science - Measurement & Modelling
Location: Hybrid (2 days per week in office for first month, flexible after)
Duration: 3 months initially
Rate: £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:
- Finalising the MMM framework and modelling (70% complete)
- Building out the A/B testing framework
- Automating marketing analytics processes, particularly around experimentation
- Handling complex data and working with incomplete data
- Measuring campaign impact and refining marketing strategies
Tech Stack:
- Core: Databricks, SQL, Python, PySpark
- Nice to Have: R, dashboarding tools
Ideal Candidate:
- 4-5 years of commercial experience in data science, preferably in an eCommerce or marketing analytics environment
- Proven experience in causal inference, MMM, and experimentation
- Strong communication skills and the ability to explain data-driven insights
Interview Process:
- Stage 1: Technical assessment
- Stage 2: Knowledge-based interview