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# Senior Data Scientist, MMM

- **Company:** Harnham
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £70,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Data Infrastructure, Statistical Hypothesis Testing, Python (Programming Language), Regression Analysis, Application Enhancement Tool, Sql Optimization, Snowflake
- **Published:** October 20, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5934556165

## About the Role

The successful Senior Data Scientist will have the following skills and experience:

 * Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
 * Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
 * Advanced SQL and Python skills for analysis and modelling
 * Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
 * Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
 * Ability to communicate complex findings clearly to both technical and non-technical audiences
 * Experience building or supporting Customer Lifetime Value modelling is highly desirable
 * Confidence leveraging AI tools as part of a modern analytics workflow

## Description

As a Senior Data Scientist, you will own the organisation's marketing measurement capability and help shape how acquisition budgets are allocated.

Specifically, you can expect to be involved in the following:

 * Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
 * Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
 * Improving marketing attribution and conversion signal quality in an evolving privacy landscape
 * Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
 * Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
 * Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
 * Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
 * Contributing to experimentation standards and best practices across the wider data function