This is an opportunity to take ownership of some of the most commercially important marketing measurement challenges in a growing, data-driven business. You will shape how marketing investment is allocated, influence acquisition strategy, and build the models that drive long-term growth.

The Company

They are a digital business investing heavily in customer acquisition and marketing analytics. With ambitious growth plans and a commitment to data-led decision making, they are looking to significantly increase marketing spend while ensuring every investment is measurable and effective.

Their analytics and data science function plays a role in strategic decision making, partnering closely with marketing leadership to optimise performance and identify scalable growth opportunities. The business embraces modern technologies and AI-enabled ways of working to maximise impact across the organisation.

The Role

As a Senior Data Scientist, you will work closely with the Head of Performance Marketing to evaluate marketing effectiveness, improve acquisition efficiency, and support significant budget growth.

Key responsibilities include:

• Own and develop the Marketing Mix Modelling (MMM) framework to guide marketing investment decisions
• Analyse channel effectiveness and identify diminishing returns across paid media channels
• Build and maintain Lifetime Value (LTV) models that support acquisition and budgeting decisions
• Measure marketing incrementality through experimentation, lift studies, geo-testing and causal inference techniques
• Translate modelling outputs into clear budget recommendations and commercial actions
• Partner with marketing stakeholders to optimise customer acquisition performance as marketing investment scales
• Develop predictive models and advanced analytics solutions using Python and SQL
• Leverage AI tools to accelerate coding, experimentation and analytical workflows
• Drive best practice across marketing measurement, attribution and performance analytics

Your Skills & Experience

• Strong commercial experience in Marketing Mix Modelling (MMM)
• Experience measuring incrementality and designing marketing experiments
• Expertise in customer lifetime value (LTV) modelling
• Strong understanding of marketing performance, attribution and channel effectiveness
• Advanced SQL and Python skills
• Experience working with Snowflake and dbt
• Strong statistical and causal inference knowledge
• Ability to communicate complex analytical findings to non-technical stakeholders
• Experience partnering closely with performance marketing teams

What They Offer

• Salary up to £90,000
• Fully remote working within the UK