nory - Senior Data Scientist - Applied Machine Learning
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Requirements
• 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. • Experience in B2B SaaS or operational domains such as logistics, workforce planning, supply chain, or forecasting-heavy environments. • Experience in lean, high-ownership data teams. • If you’re excited by what we’re building, we’d love to hear from you, even if you don’t tick every box. • WHAT YOU’LL GET IN RETURN: • 🌎 Remote-first working environment - please note you must have the right to work in the UK/EU without sponsorship to be considered for this role • 💰 Competitive salary range depending on experience • 📈 Meaningful equity, at Nory everyone is an owner! • 🌴 35 days of paid leave per year (including bank holidays) • 🏥 Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK) • 🍼 Enhanced parental leave and baby loss support • 📚 Learning & development culture – €1000 personal annual budget + quarterly book budget • 🖥️ €250 home office workspace budget • 🥳 Regular team offsites & socials • ✈️ Work from anywhere for up to 3 months of the year • 📍Offices in either London 🇬🇧 , Dublin 🇮🇪 or Spain 🇪🇸 • 👏 And much more • Our vision is to build a better future for the restaurant industry. • One where operators are in control, margins are stronger, and frontline teams can build careers they’re proud of. To get there, we move fast, stay focused, and hold ourselves to a high bar. Our values guide how we work, grow, and win – together. • These are the values we live by: • We serve up impact with a side of profit: We prioritise work that delivers real financial results for our restaurant partners. • We prioritise speed of service: We move fast, unblock quickly, and deliver with urgency. • We act like owners: We own problems, raise the bar, and build better every day. • We win as a crew: We grow stronger through feedback, collaboration, and shared wins. • WE HIRE HUMANS.
Responsibilities
• 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.
Benefits
• Product squads are composed of a variety of roles - product managers, product owners, designers, engineers, etc. - who align on a single product roadmap. • Briefly describe the most impactful ML system you’ve owned end-to-end. What impact did it have for the end user? • Nory may use Artificial Intelligence with this application. Learn more.
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