Data Scientist with PyMC & Marketing Mixed Modelling experience...

Data Scientist with PyMC & Marketing Mixed Modelling experience

Job Type: Contract/Temporary

Location: London (Remote/1 day onsite a month at Bankside)

Job Ref: BBBH160520_1747642728

Date Added: May 19th, 2025

Consultant: Louis Poynter

Position: Data Scientist with PyMC & MMM experience
Duration: 6 Months Contract
Inside IR35

My client, a top global company, is seeking a Data Scientist with PyMC & MMM expertise to join their Data Science team. The role focuses on enhancing marketing effectiveness through Marketing Mix Modelling, Multi-Touch Attribution, and other models. Note: This position requires setup via an Umbrella Company/PAYE.

Responsibilities:

• Oversee data collection, extraction, manipulation, analysis, and validation.
  
• Analyze datasets to understand KPIs and prepare data for modelling.
  
• Utilize Excel, SQL, Python, Pandas for data processing, variable creation, and modelling.
  
• Build and refine base models, select variables, and interpret coefficients.
  
• Improve models and move towards finalization.
  
• Create sales effect/ROI workbooks, response curves, and optimization charts.
  
• Perform scenario analysis for budget allocation and forward-looking optimization.
  
• Validate models, identify weaknesses, and suggest improvements.
  
  Requirements:
  
  
• Proven experience in developing and implementing Marketing Mix Models.
  
• Expertise in PyMC, Python, and familiarity with R for MMM.
  
• In-depth understanding of statistical modelling and ML techniques.
  
• Experience with regression models in MMM context.
  
• Solid experience with Probabilistic Programming and Bayesian Methods.
  
• Proficiency in mining large, complex datasets using SQL and Spark.
  
• Strong knowledge of statistical techniques and mathematical foundations.
  
• Working knowledge of Pymc, cloud data science frameworks, and Azure preferred.
  
• Deep expertise in areas like Optimization, Applied Mathematics, or Simulation.
  
  Educational qualifications: MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or related fields with modelling and computer science background are highly desirable.
  
  Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business regarding this vacancy.
  
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