Bayesian Data Scientist

JR United Kingdom; City Of London; Hybrid; GBP 55,000 - 90,000; Full time

Job summary

A leading FMCG brand is seeking a Bayesian Data Scientist for a 12-month contract, focusing on advanced econometric modelling to improve marketing effectiveness. The role involves managing data workflows, building models in Python, and collaborating with cross-functional teams for strategic insights.

Qualifications

• Extensive experience in building and deploying Marketing Mix Models.
• Strong focus on Bayesian methods and programming in Python.
• Solid knowledge of applied statistics and complex dataset analysis.

Responsibilities

• Lead and manage data workflows for marketing effectiveness.
• Build and refine Bayesian Marketing Mix Models.
• Develop and present ROI workbooks for marketing budget allocation.

Skills

Expert-level proficiency in Python

Extensive experience in Marketing Mix Models

Deep understanding of regression modelling

Strong foundation in optimization

Communications skills

Education

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

Tools

SQL

Spark

Azure

Job description

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Bayesian Data Scientist, london (city of london)

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Client:

ECM Talent

Location:

london (city of london), United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

Bayesian Data Scientist

Location: London (Hybrid Working)

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.