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: BBBH28

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.