Senior Data Scientist – Applied Machine Learning at Nory — Series B AI Restaurant Platform

You will design, build, and scale production-grade ML systems that automate margin-critical decisions for thousands of restaurant shifts. Moving beyond notebooks, you'll own the end-to-end lifecycle—from problem framing to deployment and monitoring—creating intelligent forecasting and labor planning tools that replace guesswork with predictive analytics for global hospitality brands like Jamie Oliver Group.

• Own the end-to-end ML lifecycle by designing, deploying, and monitoring production-grade services that power real-time demand forecasting and workforce optimization.
• Build robust, observable ML pipelines and monitoring strategies to detect drift and ensure models maintain commercial value and accuracy in live operational environments.
• Partner with Product and Engineering teams to embed statistical models into seamless workflows that restaurant operators rely on daily to manage multi-million pound businesses.

• Proven track record of taking production ML systems from ambiguous concepts to revenue-impacting deployments, specifically within classical ML, forecasting, or time-series domains.
• Advanced academic background (MSc/PhD) in applied statistics or quantitative reasoning with a "production-first" mindset and proficiency in writing clean, maintainable Python for shared codebases.
• Strong systems thinker comfortable working across APIs, CI/CD, and cloud infrastructure while measuring success through business metrics like automation rates and margin improvement.

• Impact-driven environment where your ML models directly drive profitability and reduce waste for major global hospitality brands like Azzurri Group and Black Sheep Coffee.
• High-growth trajectory at a Series B startup that has raised $62.6M and tripled revenues, offering meaningful equity and a "work from anywhere" policy for 3 months annually.
• Join an elite, high-ownership data team featuring alumni from Tractable, Babylon Health, and Oxford DPhil programs, where data science is a core business driver rather than a side function.