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# Senior Data Scientist - (MMM)

- **Company:** Harnham
- **Location:** London, UK
- **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, Sql Optimization, Snowflake, Pandas, Scikit Learn, Statistics Packages
- **Published:** October 20, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5934559667

## About the Role

If you're passionate about using advanced analytics to shape marketing investment decisions and want to work in an environment where data directly influences business strategy, this is an excellent opportunity. You'll own high-impact measurement initiatives, drive experimentation, and help establish best practices across a growing data function., * Strong commercial experience in Marketing Mix Modelling, incrementality measurement, or marketing analytics

 * Deep understanding of statistical analysis, hypothesis testing, regression techniques, confidence intervals, and causal inference
 * Experience designing and evaluating marketing experiments and lift studies
 * Advanced SQL skills and hands-on Python experience, ideally including pandas, scikit-learn, statsmodels, or similar libraries
 * Familiarity with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
 * Understanding of digital advertising platforms, attribution challenges, privacy changes, and value-based bidding approaches
 * Strong communication skills with the ability to influence non-technical stakeholders and senior decision makers
 * Experience working with AI-assisted analytical workflows and experimentation processes

## Description

* Own and continuously improve the organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing
 * Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights
 * Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses
 * Measure and improve marketing effectiveness across paid media channels including Google and Meta
 * Develop and maintain Lifetime Value (LTV) models to support acquisition, retention, and budget planning decisions
 * Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance
 * Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations
 * Champion robust experimentation standards and causal measurement methodologies across the business
 * Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour