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Senior Data Scientist

Harnham - Data & Analytics Recruitment
Posted 2 days ago, valid for 3 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job opportunity is for a Marketing & Data Science role focused on measurement and modeling in the retail industry.
  • The position is hybrid, requiring two days in the office for the first month, with a daily rate of £450-480, outside IR35.
  • Candidates should have 4-5 years of commercial experience in data science, ideally within eCommerce or marketing analytics.
  • Key responsibilities include finalizing the Marketing Mix Modelling framework, building an A/B testing framework, and automating marketing analytics processes.
  • The ideal candidate should possess strong skills in causal inference, MMM, and experimentation, along with effective communication abilities.

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

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.