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Senior Data Scientist

Harnham
Leicester
1 week ago
Applications closed

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Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

SENIOR DATA SCIENTIST


  • 3-MONTH CONTRACT
  • HYBRID WORKING (Office in Leicester - Flexible after one month)
  • £480 OUTSIDE IR35


About the role


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.


We’re looking for a candidate with strong experience in marketing analytics to support three key initiatives:


  • Marketing Mix Modelling (MMM):This is the top priority. The foundational framework is around 70% complete, and we’re now looking to finalize the modelling. Familiarity with tools likeMeta’s Robyn and Google’s Meridian is highly desirable.
  • A/B Testing Framework:The framework is approximately 80% built and ready to be taken into production. We need someone who can drive this across the finish line, with a focus on robust experimental design and accurate causal impact analysis.
  • Automation of Analytics Pipelines:There is a clear opportunity to streamline and automate our marketing analytics workflows—particularly in the areas of experimentation and incrementality measurement.


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
  • Experience of
  • 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
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