National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Bayesian Data Scientist

ECM Talent
London
2 days ago
Create job alert

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from ECM Talent

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 levelMid-Senior level

Employment type

  • Employment typeContract

Job function

  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at ECM Talent by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom 4 hours ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

City Of London, England, United Kingdom £70,000.00-£75,000.00 1 day ago

London, England, United Kingdom 2 days ago

Associate (Data Scientist) - London, Wroclaw

Harrow, England, United Kingdom 7 hours ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 hours ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 2 months ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

Data Scientist, Marketing Insights and Analytics

London, England, United Kingdom 2 weeks ago

London Area, United Kingdom $250,000.00-$300,000.00 1 hour ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 2 weeks ago

London Area, United Kingdom £78,000.00-£78,000.00 4 hours ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Bayesian Data Scientist

Bayesian Data Scientist...

Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London

Principal Data Scientist

Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London

Senior Data Scientist (Marketing Mix Modelling/Python/Pymc) - £688 (Inside IR35) - London

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.