Marketing Mixed Modelling Data Scientist

JR United Kingdom; City Of London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading global company seeks a senior Marketing Mixed Modelling Data Scientist on a 6-month contract in London. The role involves driving marketing effectiveness through advanced statistical modeling and data analysis techniques. Ideal candidates will have significant experience in Marketing Mix Modeling and relevant programming skills, contributing to impactful data-driven strategies.

Qualifications

• Proven experience in developing Marketing Mix Models.
• Deep understanding of statistical modeling and ML techniques.
• Expertise with large datasets using SQL and Spark.

Responsibilities

• Oversee data collection, extraction, manipulation, and analysis.
• Proficiency in tailored modeling, ensuring KPIs are understood.
• Conduct scenario analysis for budget allocation.

Skills

Marketing Mix Modelling

Statistical Modeling

Data Analysis

Machine Learning

Bayesian Methods

Tools

PyMc

Python

SQL

Excel

Spark

Job description

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Marketing Mixed Modelling Data Scientist, London (City of London)

Client: Lorien

Location: London (City of London), United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 2

Posted: 16.06.2025

Expiry Date: 31.07.2025

Job Description:

Data Scientist with PyMc & Marketing Mixed Modelling experience

6 Months Contract

Inside IR35

Remote/1 day onsite a month

My client, a top global company, is 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 be set up via an Umbrella Company/PAYE. This senior Data Scientist will work with our client's 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, manipulation, analysis, and validation.
• Analyze datasets to ensure KPIs are understood and data is ready for modelling.
• Proficiency in Excel, SQL, Python, Pandas for data processing, variable creation, and model building.
• Build base models according to project specifications, incorporating all drivers of KPIs, providing rationale for variable selection, understanding coefficients and contributions.
• Improve and finalize models by adding enhancements.
• Create sales effect/ROI workbooks, response curves, and optimization charts.
• Conduct scenario analysis for budget allocation and forward-looking optimization.
• Validate models, identify weaknesses, suggest improvements, and ensure robustness.

Requirements:

• Proven experience in developing and implementing Marketing Mix Models.
• Expertise in PyMc, Python, and familiarity with R programming for MMM models.
• Deep understanding of statistical modeling and ML techniques.
• Experience with regression-based models in MMM contexts.
• Solid experience with probabilistic programming and Bayesian methods.
• Expertise in mining large, complex datasets using SQL and Spark.
• Understanding of statistical modeling techniques and their mathematical foundations.
• Good working knowledge of PyMC, cloud-based data science frameworks, and Azure (preferred).
• Broad knowledge of technical specialisms like optimization, applied mathematics, or simulation.