Senior Data Scientist

This is an opportunity to play a pivotal role in shaping marketing investment decisions within a fast-growing digital business. You'll combine advanced marketing measurement, experimentation, and predictive modelling to influence how significant acquisition budgets are allocated, delivering clear commercial impact across the organisation.

The Company

They are a rapidly growing digital marketplace with a strong consumer brand and a mission-led culture. Operating internationally, they connect customers with unique experiences through a network of independent partners and suppliers. The business is investing heavily in marketing growth and is looking for a Senior Data Scientist to ensure investment decisions are evidence-based, measurable, and commercially effective. Their remote-first environment combines flexibility with a strong emphasis on collaboration, ownership, and data-driven decision making.

The Role

As a Senior Data Scientist specialising in Marketing Analytics and Measurement, you will work closely with senior stakeholders across Data and Marketing to improve marketing effectiveness and customer acquisition performance.

Responsibilities include:

• Owning and developing Marketing Mix Models (MMM) to evaluate channel performance, diminishing returns, and budget allocation decisions.
• Designing and analysing incrementality experiments, including conversion lift studies, geo experiments, and holdout testing.
• Improving marketing measurement and attribution frameworks in an increasingly privacy-focused digital landscape.
• Building and maintaining Customer Lifetime Value (LTV) models to support acquisition, retention, and bidding strategies.
• Applying statistical and causal inference techniques to distinguish genuine business impact from correlation.
• Translating complex analytical outputs into clear recommendations for commercial and marketing stakeholders.
• Using AI tools and workflows to accelerate analysis, experimentation, and insight generation while maintaining rigorous analytical standards.
• Collaborating with cross-functional teams to establish best practices in experimentation and measurement.

Your Skills & Experience

• Strong commercial experience in marketing measurement, including Marketing Mix Modelling, incrementality testing, lift studies, or geo experimentation.
• Advanced statistical knowledge covering causal inference, experimental design, hypothesis testing, regression analysis, and sample sizing.
• Strong SQL and Python capabilities within modern cloud-based analytics environments.
• Experience working with tools such as Snowflake, dbt, and contemporary analytics platforms.
• Understanding of paid media measurement, attribution methodologies, and privacy-related tracking limitations.
• Ability to communicate technical concepts to non-technical stakeholders and influence strategic decision making.
• Experience using AI-enabled workflows to improve analytical efficiency and scalability.
• Exposure to Bayesian modelling, value-based bidding, LTV modelling, marketplace businesses, or travel-related sectors would be beneficial.

What They Offer

• Annual performance-based bonus.
• Remote working support and workspace allowance.
• Access to regular company meetups and team events.
• Employee discounts and additional benefits.
• The opportunity to shape marketing measurement strategy during a period of significant growth and investment.

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