At a Glance
- Tasks: Lead a high-performing analytics team and shape the future of marketing effectiveness.
- Company: Join a dynamic agency with a strong focus on analytics and growth.
- Benefits: Competitive salary, hybrid work model, and opportunities for career advancement.
- Other info: Genuine pathway to senior leadership role in a thriving environment.
- Why this job: Make a real impact on major brands and influence multi-million-pound marketing decisions.
- Qualifications: Experience in Marketing Mix Modelling and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
London (Hybrid, 3 days per week) | Up to £90,000 + benefits
This is an opportunity to join a high-performing analytics and effectiveness team that has already exceeded its annual targets, with further investment and growth planned throughout the year. You'll inherit a well-established team, work with household-name brands, and play a pivotal role in shaping the future of analytics across the agency.
The opportunity doesn't stop there. With the current Head of Marketing Science moving into a board-level leadership role, this position offers a genuine pathway into that senior leadership role for someone who can demonstrate commercial impact, technical excellence and outstanding client leadership.
You must have experience within MMM and ideally strong technical skills to be considered.
Why this role stands out- Lead one of the agency's flagship Marketing Science teams across a diverse portfolio of major consumer brands
- Work across sophisticated measurement projects including Marketing Mix Modelling (MMM), geo-experiments, brand lift studies and advanced effectiveness programmes
- Manage and develop a high-performing team of 8, including Associate Directors and Managers
- Become a trusted advisor to senior clients, influencing multi-million-pound marketing investment decisions
- Play a key role in new business pitches, agency growth and positioning Marketing Science as a strategic commercial capability
- Genuine succession opportunity into a Head of Marketing Science leadership position
- Join a business continuing to invest heavily in analytics following significant commercial success
You'll operate as both a strategic consultant and technical analytics leader, combining deep measurement expertise with commercial thinking and exceptional stakeholder management.
Key responsibilities include:- Leading complex Marketing Science and effectiveness programmes from design through to delivery
- Acting as the senior client lead across multiple strategic accounts
- Driving MMM projects alongside experimentation, incrementality, geo-testing and brand measurement initiatives
- Translating advanced analytical outputs into clear commercial recommendations for senior stakeholders
- Managing, mentoring and developing a team of Marketing Science specialists
- Supporting agency leadership with pitches, commercial opportunities and proposition development
- Working closely with planning, strategy, investment and data teams to embed measurement into wider client planning
- Helping shape the future direction of the agency's Marketing Science offering
This role will suit someone who enjoys combining technical credibility with commercial influence.
You'll ideally bring:
- Strong hands-on experience delivering Marketing Mix Modelling (MMM) and advanced marketing effectiveness projects
- A background in Marketing Science, econometrics, analytics or measurement within a media agency or consultancy
- Experience across statistical modelling, experimentation, attribution, segmentation or broader advanced analytics
- The ability to communicate complex analysis in a simple, commercially meaningful way
- Experience leading and developing high-performing analytics teams
- Strong client leadership skills with the confidence to influence senior stakeholders
- Commercial awareness and experience contributing to agency growth, pitches or consultancy opportunities
- A passion for helping clients make smarter marketing investment decisions through data and evidence-based insight
Principle Consultant - Analytics / MMM in Slough employer: Silverdrum
At Silverdrum, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture in the heart of London. Our commitment to employee growth is evident through tailored development programmes and opportunities to lead innovative projects, particularly in the fast-paced realm of digital commerce. Join us to be part of a forward-thinking team where your contributions directly shape the future of connected commerce for leading global brands.
StudySmarter Expert Advice🤫
We think this is how you could land Principle Consultant - Analytics / MMM in Slough
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Silverdrum.
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When you find a suitable opening like Principle Consultant - Analytics / MMM at Silverdrum, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principle Consultant - Analytics / MMM in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Silverdrum, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Silverdrum. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Silverdrum
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Silverdrum!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
