Senior Marketing Data Scientist

JR United Kingdom; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Marketing Data Scientist/MMM Specialist to lead data activities for Marketing Mix Modelling. This role involves extracting, transforming, and analyzing data to support budget optimization and scenario planning. The ideal candidate will have strong Python skills, experience with regression modeling, and familiarity with Bayesian methods. Join this multinational FMCG brand in a hybrid working environment, with an initial 6-month contract and the potential for long-term extensions. If you're passionate about data science and want to make a significant impact, this is the opportunity for you.

Qualifications

• Proven experience with Marketing Mix Modelling (MMM) development.
• Strong Python skills and familiarity with R for MMM.
• Expertise in regression modeling and statistical techniques.

Responsibilities

• Lead data activities for Marketing Mix Modelling (MMM).
• Extract and analyze datasets for modeling purposes.
• Validate models for accuracy and suggest improvements.

Skills

Python

SQL

R

Regression Modeling

Statistical Techniques

Machine Learning

Bayesian Methods

Data Mining

Optimization

Education

Master's in Data Science

PhD in Statistics

Tools

Excel

Pandas

Azure

Job description

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Senior Marketing Data Scientist/MMM Specialist

Location: London (Hybrid Working)

Duration: Minimum 6 month contract + long term extensions - Project scope scheduled for the next 2/3 years.

Start Date: ASAP

We have an excellent opportunity for a Senior Marketing Data Scientist/MMM Specialist to join a multinational FMCG brand in London. Hybrid working, initial 6 month contract + opportunity to extend long-term & start date May 2025.

Role Summary:

Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning.

Key Responsibilities:

• Extract, manipulate, and analyze datasets to prepare for modelling (Excel, SQL, Python, Pandas).
• Build and refine base models with clear variable rationale and KPI linkage.
• Create ROI workbooks, response curves, and optimization charts.
• Run scenarios for budget allocation and client objectives.
• Validate models for accuracy, suggest and test improvements.

Required Skills & Experience:

• Proven experience with MMM development and implementation.
• Strong Python skills; familiarity with R for MMM.
• Expertise in regression modeling, statistical and ML techniques.
• Experience with probabilistic programming, Bayesian methods, and MCMC.
• Proficient in SQL and/or Spark for large-scale data mining.
• Solid understanding of statistical foundations and mathematical modelling.
• Familiarity with cloud-based frameworks; Azure preferred.
• Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field.

Strong Points:

• Deep technical specialization in optimization, simulation, and applied math.
• Ability to translate complex models into actionable business insights.