Senior Data Scientist, Nory

• Proven ownership of production ML systems, having taken models from ambiguous problem to deployed, monitored, revenue-impacting capability
• Strong statistical foundations, with an MSc, PhD, or equivalent depth in applied statistics, experimentation, and quantitative reasoning
• Production-first mindset, comfortable working close to APIs, CI/CD, cloud infrastructure, and modern data tooling
• Depth in classical machine learning, including forecasting, regression, classification, feature engineering, and drift detection – with the judgement to choose the right level of complexity
• Experience measuring real business impact, thinking in terms of automation rates, cost reduction, accuracy uplift, and margin improvement
• Clean, maintainable Python skills, writing code suitable for shared codebases rather than notebooks alone
• Systems thinking, understanding how models interact with data pipelines, product workflows, and operational edge cases
• Clear communication skills, able to explain trade-offs and influence engineers, PMs, and senior stakeholders
• Startup ownership mentality, proactive, pragmatic, and comfortable operating with autonomy in a fast-scaling environment
• If you’re excited by what we’re building, we’d love to hear from you, even if you don’t tick every box

Desirable

• We’re looking for a Senior Data Scientist – Applied Machine Learning to design, build, and scale machine learning systems that directly power operational decisions across thousands of restaurant shifts every week. This is not a research-only role. And it’s not about models that live in notebooks
• It’s about building production-grade ML systems that improve margins – and making sure they keep delivering value long after deployment. Read more about what it’s like being a Data Scientist at Nory here
• As a Senior Data Scientist – Applied Machine Learning at Nory, you’ll build and scale production-grade ML systems that power margin-critical decisions across forecasting, labour planning, and operational optimisation – turning live real-world restaurant data into measurable profit improvement
• Own ML systems end-to-end, from problem framing and data design through to deployment, monitoring, and iteration in production
• Build reliable, production-grade ML services, working close to APIs, pipelines, and cloud infrastructure to ensure models are robust, observable, and maintainable
• Improve operational performance through measurable impact, increasing forecast accuracy, automation rates, and margin contribution – not just model metrics
• Design monitoring and drift strategies from day one, ensuring models stay accurate, stable, and commercially valuable over time
• Apply rigorous statistical thinking, choosing the right level of complexity and running sound experiments to support clear go / no-go decisions
• Partner closely with Product, Engineering, and Commercial teams, embedding ML into live workflows that operators trust and rely on daily
• Raise the bar for applied ML at Nory, influencing standards, reviewing work, mentoring others, and strengthening our systems thinking as we scale