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# Data Scientist (Contract)

- **Company:** Harnham
- **Location:** London, UK (Remote available)
- **Salary:** £104,000.0 - £124,800.0
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Amazon Web Services, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Snowflake, Xgboost, Tools for Reporting, Streamlit Framework
- **Published:** October 12, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5924070079

## About the Role

* Strong experience using Python and SQL for data science and analytics.
 * Experience working with Snowflake and AWS within production environments.
 * Proven capability in search ranking, recommendation systems, or relevance optimisation.
 * Strong understanding of experimentation frameworks, A/B testing, and statistical analysis.
 * Experience measuring and reporting on KPIs including conversion, customer engagement, and commercial performance.
 * Capability to deploy and maintain machine learning solutions in production.
 * Experience with learning-to-rank methodologies is highly desirable.
 * Exposure to tools and techniques such as Metaflow, XGBoost, PyMC, Streamlit, propensity modelling, or optimisation methods would be beneficial.
 * Experience within digital marketplaces, travel platforms, e-commerce, classifieds, or consumer-facing search environments is advantageous.

## Description

* Improve search ranking and recommendation performance across a large-scale digital platform.
 * Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement.
 * Develop and apply learning-to-rank and machine learning approaches to improve search outcomes.
 * Run A/B tests, analyse results, and measure performance against key business metrics including conversion, click-through rate, and revenue impact.
 * Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders.
 * Deploy machine learning solutions into production environments and support ongoing optimisation.