Bayesian Data Scientist

ECM Talent; London; On-site; GBP 70,000 - 75,000; Full time

Job summary

An exciting opportunity exists for a Bayesian Data Scientist to join a high-performing Data Science team in a leading FMCG Brand. This contract-based role involves advancing marketing effectiveness through econometric modelling techniques, including Bayesian Marketing Mix Modelling and Multi-Touch Attribution. Candidates should possess strong proficiency in Python and experience in handling complex datasets.

Qualifications

• Extensive experience in Marketing Mix Models with a focus on Bayesian methods.
• Expert-level proficiency in Python, particularly with data libraries.
• Solid knowledge of regression modelling and Bayesian inference.

Responsibilities

• Lead and manage data workflows: extraction, transformation, validation, analysis.
• Build and refine Bayesian MMM models for marketing effectiveness.
• Develop and present marketing budget allocation frameworks.

Skills

Python

Bayesian methods

SQL

Statistics

Education

Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science

Tools

PyMC

pandas

NumPy

Spark

Azure

Job description

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Contract Type: Initial 12 month contract + potential to extend long-term due to 3/4 year project scope.

Start Date: ASAP

We have an excellent opportunity for a Bayesian Data Scientist to join a leading FMCG Brand, Initial 12 month contract + opportunity to extend long-term.

This is an exciting opportunity to join a high-performing Data Science team focused on advancing marketing effectiveness through advanced econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies.

Key Responsibilities

• Lead and manage data workflows: data extraction, transformation, validation, and exploratory analysis to ensure modelling-readiness.
• Build and refine Bayesian MMM models that capture the drivers of key marketing and commercial KPIs.
• Use Python (and optionally R) to design, build, and improve base and advanced models—integrating prior knowledge, probabilistic reasoning, and real-world constraints.
• Develop and present ROI workbooks, response curves, and optimization frameworks for marketing budget allocation.
• Run scenario-based simulations to support strategic planning and forward-looking marketing investment decisions.
• Validate and stress-test models, identifying opportunities for improvement and ensuring robustness, interpretability, and business relevance.

Requirements

• Extensive experience in building and deploying Marketing Mix Models, with a strong focus on Bayesian methods.
• Expert-level proficiency in Python, especially with pandas, NumPy, and probabilistic programming libraries such as PyMC.
• Experience with R is a bonus, particularly for MMM-related workflows.
• Deep understanding of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques.
• Proven ability to handle and analyse large, complex datasets using SQL and/or Spark.
• Solid knowledge of applied statistics, modelling techniques, and the mathematical underpinnings of inference and simulation.
• Familiarity with cloud platforms (Azure preferred) and modern data science toolkits.
• Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field.

Preferred Attributes

• Strong foundation in optimization, simulation modelling, and decision analytics.
• Demonstrated ability to translate complex Bayesian models into strategic insights and practical business outcomes.
• Strong communication skills and the ability to collaborate across marketing, analytics, and commercial teams.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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