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

Apply Now

Data Scientist, Marketing Mix Modeling (MMM)

s360
City of London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Marketing Data

Senior Data Scientist - Marketing Data

Data Scientist - Growth

Senior Data Scientist - Growth London

Growth Data Scientist/Analyst

Growth Data Scientist/Analyst

Data Scientist, Marketing Mix Modeling (MMM)

Are you driven by the challenge of designing and operationalizing statistically rigorous models that directly quantify business impact? Are you an expert in statistical inference and Bayesian methodologies, capable of moving beyond correlation to establish causality?

We are seeking a talented and experienced Data Scientist with a special focus on Marketing Mix Modeling (MMM) to join our growing team. s360 is a leading digital marketing agency and a certified Google Meridian partner.

Lead the marketing modeling transformation

You will play an instrumental role in developing and implementing advanced MMM solutions, directly helping our clients understand and optimize their marketing investments.

As a Data Scientist for MMM at s360, you will:

  • Design, build and implement scalable and efficient Marketing Mix Models for our clients, leveraging Google's Meridian and other relevant frameworks.
  • Collect, clean and process large, diverse datasets from various sources to prepare them as robust model inputs.
  • Collaborate closely with clients to understand their business objectives and data needs, and to present model results and recommendations in a clear and compelling way.
  • Run optimization and simulation scenarios to guide clients' marketing investment and allocation decisions.
  • Work tightly with our data engineering and business intelligence teams to ensure seamless data flow and integration.
  • Stay up-to-date with the latest advancements in MMM, marketing analytics, and data science, actively contributing to the continuous improvement of our MMM offering.

About the team

You will join a dynamic, fast-growing team of data scientists and engineers, reporting directly to the Group CTO.

The position is based in one of the s360 offices in Barcelona, London, Helsinki, Copenhagen, or Aarhus.

Technical expert with a passion for turning data into impact

You will likely describe yourself as someone with a growth mindset and a solid background in data science and marketing analytics. Ideally, you will also bring:

  • A Master's degree or PhD in a quantitative field such as Statistics, Economics, Mathematics, Engineering, or Computer Science.
  • 1+ years of hands-on experience in data science
  • Expert proficiency in Python and SQL for data manipulation, modeling, and analysis.
  • Strong experience with statistical modeling techniques, including regression analysis, time series analysis, and Bayesian modeling.
  • Experience with cloud platforms, preferably Google Cloud Platform (GCP).
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Strong project management skills and the ability to work independently in a fast-paced, agile environment.

Working at s360

At s360, you will be part of one of Europe’s fastest-growing digital marketing agencies, working alongside more than 350 skilled colleagues across 11 offices in 8 countries.

As a part of our team, you can look forward to:

  • Skilled colleagues: Collaborate with some of the brightest minds in the industry and be part of an ambitious team with deep expertise across all key digital disciplines.
  • Top-tier clients: Work with some of the biggest brands in the world on solving their most complex and interesting commercial problems.
  • Growth journey: Join one of the fastest-growing digital marketing agencies in Europe with the ambition of becoming the best in the world.
  • International environment: With 11 offices across 8 countries, you will have the opportunity to collaborate with people from diverse cultures around the world.
  • Career acceleration: Get individual career plans to influence your own professional path and contribute to shaping the company’s future.
  • Continuous development: A learning culture where people strive to become 1% better every day, supported by advanced training and knowledge sharing.

We are an equal opportunities employer and welcome applications from all qualified candidates.


#J-18808-Ljbffr

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 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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.