Data Scientist (Contract)

• 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.

• 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.

They are a well-established consumer marketplace business with a large and diverse inventory of products available across multiple markets. Data and experimentation play a central role in their decision-making, with a strong focus on delivering exceptional user experiences through intelligent search and recommendation capabilities. You will join a collaborative environment where data science has a direct influence on commercial outcomes and customer engagement.