Senior Data Scientist

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Recruitment Consultant in the UK - Marketing & Analytics Contract Team - The Talent Driving the Data & AI Revolution

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

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

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
  

Desired Skills and Experience

Key Skills & Experience:

4-5 years in data science, with a focus on marketing analytics

Strong experience in Marketing Mix Modelling (MMM) and A/B testing

Expertise in causal inference, experimentation, and incrementality measurement

Proficient in Databricks, SQL, Python, and PySpark

Ability to handle incomplete and complex datasets

Experience with customer lifecycle modelling and LTV

Strong communication and ability to explain data-driven insights
Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeContract

Job function

• Job functionMarketing
• IndustriesHospitals and Health Care, Non-profit Organizations, and Government Administration

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