Senior Data Scientist

Harnham - Data & Analytics Recruitment; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading recruitment agency is seeking a Marketing & Data Science professional for a 3-month hybrid role focused on marketing effectiveness in the retail industry. The candidate will work on Marketing Mix Modelling, A/B testing, and automation of marketing analytics. Ideal candidates will have substantial data science experience and strong communication skills.

Qualifications

• 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.

Responsibilities

• Finalising the MMM framework and modelling (70% complete).
• Building out the A/B testing framework.
• Automating marketing analytics processes, particularly around experimentation.

Skills

Causal inference

Marketing Mix Modelling

Experimentation

Strong communication skills

Tools

Databricks

SQL

Python

PySpark

Job description

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:

• 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