Data Scientist with PyMc, Python & Marketing Mixed Modelling

Lorien; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A top global company in London seeks a Data Scientist with expertise in PyMc, Python, and marketing mix modelling for a 6-month contract. The role involves data collection, model building, and ensuring high standards for marketing effectiveness through statistical techniques. Ideal candidates will have proven experience in marketing modelling and a strong educational background, preferably a master's or PhD in a relevant area.

Qualifications

• Proven experience in developing and implementing Marketing Mix Models.
• Expert in PyMc and Python; familiarity with R programming is required.
• In-depth understanding of statistical modelling techniques.

Responsibilities

• Oversee data collection and ensure readiness for modelling.
• Build and optimize Marketing Mix Models according to specifications.
• Run scenarios and validate models to improve effectiveness.

Skills

Marketing Mix Modelling

PyMc

Python

SQL

Statistical Modelling

Machine Learning Techniques

Regression Methods

Bayesian Methods

Data Mining

Azure

Education

MS or PhD in Data Science or related field

Job description

Data Scientist with PyMc, Python & Marketing Mixed Modelling

Job Type

Contract/Temporary

Location

London

Negotiable

Job Ref

BBBH160520_1752763813

Date Added

July 17th, 2025

Consultant

Louis Poynter

Data Scientist with PyMc, Python & Marketing Mixed Modelling experience
6 Months Contract
Inside IR35
Remote/Hybrid working
Bankside

My client a top Global company are currently looking to recruit a Data Scientist with PyMc & MMM experience to join their team on a 6-month contract basis. Please note if successful this position will need to set up via an Umbrella Company/PAYE. This Data scientist required to work with our clients Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models.

Responsibilities:

• Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation.
• Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling.
• Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models.
• Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions.
• Taking base models, oversee or build in additional improvements and progress the model towards finalisation
• Create sales effect/ ROI workbook,
• Create response curves and optimisation charts
• Budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking optimization,
• Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Requirements:

• Proven experience in developing and implementing Marketing Mix Models
• Be an expert in PyMc, Python and familiar with R programming for MMM Models
• Have in depth understanding of statistical modelling / ML techniques
• Experience with Regression based models applied to the context of MMM modelling
• Solid experience with Probabilistic Programming and Bayesian Methods
• Be an expert in mining large & very complex data sets using SQL and Spark
• Have in depth understanding of statistical modelling techniques and their mathematical foundations,
• Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred
• Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation)
• MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is highly desirable, but not essential.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.