Data Scientist with Marketing Mixed Modelling experience

Data Scientist with Marketing Mixed Modelling experience

Job Type: Contract/Temporary

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

Job Ref: BBBH37

Date Added: April 11th, 2025

Consultant: Louis Poynter

Contract Duration: 6 Months Contract (Inside IR35)

My client, a top Global company, is currently looking to recruit a Data Scientist with 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 Senior Data Scientist is 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, and 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 variable 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.
• Expertise in Python and familiarity with R programming for MMM Models.
• In-depth understanding of statistical modelling and ML techniques.
• Experience with regression-based models applied to the context of MMM modelling.
• Solid experience with probabilistic programming and Bayesian methods.
• Expertise in mining large and very complex data sets using SQL and Spark.
• In-depth understanding of statistical modelling techniques and their mathematical foundations.
• Good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred.
• Deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation).

A MS or PhD degree in Data Science, Computer Science, Applied Mathematics, Statistics, or another relevant discipline with a strong foundation in modelling and computer science is highly desirable.

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