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Senior Marketing Data Scientist

ECM Talent

London

Hybrid

GBP 50,000 - 80,000

Full time

Yesterday

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Job summary

A leading multinational FMCG brand is seeking a Senior Marketing Data Scientist/MMM Specialist to join their team in London. This role involves leading data activities for Marketing Mix Modelling, including data extraction, analysis, and model validation. The position offers hybrid working with an initial 12-month contract and potential for long-term extensions, making it an exciting opportunity for professionals with strong technical skills in Python and statistical modeling.

Qualifications

Proven experience with MMM development and implementation.
Strong Python skills; familiarity with R for MMM.
Expertise in regression modeling and statistical techniques.

Responsibilities

Lead data activities including extraction, transformation, analysis, and validation for MMM.
Build and validate models to analyze KPIs and guide budget optimization.
Create ROI workbooks and optimization charts.

Skills

Python

SQL

MMM development

Statistical techniques

Machine Learning techniques

Data analysis

Education

Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math

Tools

Excel

Pandas

Azure

Direct message the job poster from ECM Talent

Senior Marketing Data Scientist / MMM Specialist

Location: London (Hybrid Working)

Duration: Minimum 12 month contract + long term extensions - Project scope scheduled for the next 3/4 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 12 month contract + opportunity to extend long-term & start date ASAP.

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, PyMC 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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Contract

Job function

Job function
Information Technology
Industries
Information Services

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