Senior Data Scientist - Applied Machine Learning

The role

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.

• 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.

Nice-to-have:

• 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.

🌎 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…