Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Marketing Science Manager - MMM

DATAHEAD
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Science Principal

Data Scientist / Migration + Databricks

Data Scientist Apprenticeship - Level 6 - BBC Studios - London

Senior Pricing Data Scientist

Principal Machine Learning Engineer

Principal Data Scientist

Marketing Science Manager - Data Science / Market Mix Modelling

£65,000 - £70,000

Fully Remote UK


An exciting opportunity for a seasoned Econometrician or Marketing Science expert to join a dynamic consultancy with flexible remote working options.


In this role, you will lead key measurement projects, working closely with top clients in a specialised industry, allowing you to deepen your expertise.


Key Responsibilities:

  • Lead and manage measurement projects, ensuring high-quality outputs
  • Perform statistical modelling and ensure rigorous quality control
  • Synthesize research from multiple sources to create impactful insights
  • Mentor and train analysts, fostering their modelling skills
  • Specialize in an industry vertical, collaborating with sector experts
  • Translate analytics into actionable business recommendations
  • Support business development by identifying opportunities, writing proposals, and participating in pitches


Skills & Experience:

  • Extensive experience in Market Mix Modelling (MMM) with proven leadership in guiding and mentoring teams
  • Proficient in statistical modelling techniques
  • Strong ability to integrate and analyze data to derive actionable insights
  • Deep understanding of marketing principles and competitive strategy
  • Strong business acumen with strategic thinking to drive revenue growth
  • Excellent relationship-building and presentation skills


Apply now to be part of a forward-thinking team!

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.