We combine web data from multiple sources, match products and estimate sales so e-commerce teams can make better pricing, assortment and marketing decisions. You’ll take data and ML systems from the first experiment through to production as we bring the product to more markets.
What you’ll do
- Develop product and variant matching and sales estimation, from choosing a method to validating and deploying it.
- Build web data pipelines for collection, normalisation, quality checks and delivery to customers.
- Run the Azure infrastructure with an eye on reliability, performance and cost.
- Improve our monitoring dashboard and the tools we use to organise work, document decisions and collaborate with coding agents.
- Design solutions, direct work with Claude Code and Codex, and review the resulting code and data before it goes live.
What you’ll bring
- At least six months of hands-on work with Codex or Claude Code, including directing agents and verifying their output.
- Experience with Python, SQL and building and maintaining production data pipelines.
- The ability to collect and clean web data, including incomplete or duplicate records.
- A practical grounding in statistics and ML, including choosing metrics and validating models.
- Confidence testing and deploying changes independently and evaluating their impact on quality, performance and cost.
Nice to have
Experience in market intelligence, price monitoring, retail analytics or an e-commerce data team.