Marketing Science Analyst in London

Client Location: Central London - Hybrid (3 days on-site)

Starting: Feb 2026

Pay Comments: PAYE (37.5hrs/week)

Duration: 12 months

Overview

Our client, a leader in a dynamic and evolving industry, is on a mission to empower millions with innovative solutions. They are deeply committed to leveraging data to drive strategic decisions and optimize their impact. As a key partner, Aquent is thrilled to connect top talent with this forward-thinking organization.

Are you ready to redefine how marketing investments are measured and optimized? We are seeking a visionary analytics leader to join a pioneering team, transforming marketing strategy from mere correlation to true causal understanding. In this pivotal role, you will be the architect of measurement truth, directly influencing every dollar of marketing spend and shaping the future of data-driven decision-making. Your expertise will be instrumental in building a robust data strategy, triangulating insights from advanced models, secure data environments, and rigorous experimentation to unlock unprecedented growth and efficiency.

What you'll do

• Translate complex Marketing Mix Model (MMM) outputs, including response curves and saturation analysis, into clear, actionable budget allocation recommendations.
• Provide critical inputs for "Investment Optimization" meetings, defending budget shifts based on marginal ROI (mROI) forecasts to leadership.
• Develop sophisticated predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the strategic "radar" for the marketing department.
• Lead the analytical strategy for data clean room initiatives, serving as the expert in leveraging these secure environments.
• Craft and optimize advanced SQL queries to seamlessly join hashed first-party customer data with platform exposure data.
• Utilize data clean rooms to conduct deep analyses of high-value customer segments, moving beyond generic lookalike audiences to precision-engineered cohorts based on lifetime value (LTV) and retention probability.
• Take ownership of the organizational Learning Agenda, defining a quarterly roadmap of hypotheses and prioritizing tests based on potential business impact and estimated confidence intervals.
• Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS), including calculating power requirements, defining precise holdout groups, and overseeing technical implementation.
• Synthesize results across multiple experiments through meta-analysis to codify "best practices" for creative and media teams.
• Act as a mentor and educator to the broader marketing team, fostering a culture that distinguishes between "vanity metrics" (e.g., clicks, ROAS) and "value metrics" (e.g., incremental sales, profit).
• Communicate complex analytical insights effectively in both verbal and written forms to diverse business partners.
• Continuously stay abreast of industry standards and best practices, actively exploring and evaluating new tools and technologies for reporting and analysis.

Must-Have Qualifications

• Dedicated experience in market science, data analytics teams, or other relevant analytical roles.
• Advanced SQL proficiency, including the ability to write complex Common Table Expressions (CTEs), window functions, and optimize joins for distributed systems.
• Proven experience in building or managing Marketing Mix Models (MMM), with a strong understanding of Bayesian inference, adstock transformations, and saturation curves.

Nice-to-Have Qualifications

• Hands-on experience with at least one major Data Clean Room environment.
• A deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias, enabling you to articulate not just that a test failed, but why.
• Exceptional storytelling ability, capable of translating complex statistical concepts like "Posterior Distributions" into relatable "Updated Beliefs" for executive audiences.
• A solid understanding of AdTech and paid media mechanics, margin profiles, and the critical distinction between Return on Ad Spend (ROAS) and Customer Acquisition Cost (CAC).
• Well-rounded interpersonal and communication skills, with the capacity to build strong relationships and collaborate effectively with multiple stakeholders.

This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. If you have not received a response within 48 hours of your application, please assume that you have not been selected for progression to the next stage of the hiring process.

Client Description:

Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit.

Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.