About the Opportunity
We are recruiting a Data Scientist to join a global technology company, working within a product data science team focused on e-commerce, advertising and conversion experiences.
This is an opportunity to work on high-impact consumer-facing products, using advanced analytics, experimentation and AI-powered tools to understand purchasing behaviour, optimise product features and improve conversion performance.
The successful candidate will bring strong experience in e-commerce, advertising analytics and product experimentation, alongside the ability to independently translate complex data into actionable commercial recommendations.
Key Responsibilities
- Lead product analytics and experimentation initiatives to improve conversion, engagement and purchasing experiences.
- Design, execute and evaluate A/B tests and product experiments, measuring their impact on customer behaviour and business outcomes.
- Analyse large-scale datasets to identify purchasing trends, market opportunities and opportunities for product improvement.
- Apply statistical analysis and Python/SQL to investigate hypotheses and generate actionable insights.
- Evaluate product features and customer experiences, using quantitative evidence to recommend improvements.
- Leverage AI-powered analytics tools and automated workflows to accelerate research and experimentation.
- Partner with Product, Engineering and cross-functional stakeholders to influence product strategy and decision-making.
- Present complex analytical findings clearly, connecting recommendations to measurable commercial outcomes.
Required Experience
- Strong background in product data science or product analytics within e-commerce, advertising platforms or large-scale retail environments.
- Proven experience designing and evaluating product experiments, including A/B testing and statistical analysis.
- Strong understanding of digital advertising, consumer behaviour, conversion funnels and commercial performance metrics.
- Hands-on experience using Python and SQL for data analysis.
- Experience working with large, complex datasets and translating findings into product recommendations.
- Demonstrated ability to independently own analytical projects from problem definition through to recommendations.
- Strong stakeholder management, communication and influencing skills.
Desirable Experience
- Previous experience working within major technology companies or large-scale consumer platforms.
- Experience using AI tools, intelligent agents or automated analytical workflows.
- Familiarity with machine learning applications for product recommendations and feature optimisation.
- Experience collaborating with product and engineering teams on large-scale experimentation initiatives.
Why Consider This Opportunity?
You will join an established product data science function working on innovative e-commerce experiences used at significant scale.
The role offers exposure to AI-powered analytical tools, complex product experimentation and commercially meaningful decisions, with the opportunity to directly influence conversion performance.