Senior Data Scientist (Applied Machine Learning)

We're on a mission to put restaurants back in control of their own profitability — more venues opened, more jobs created and more money pocketed.

Our CEO, Conor, founded and scaled Mad Egg, one of the fastest-growing restaurant groups in Ireland. Having experienced firsthand the frustration of juggling “market-leading” restaurant management systems, spreadsheets, and paper printouts, he set out to build the solution he wished he had from day one: Nory.

Now, we’re scaling fast. We have a real product solving real problems—and we can barely keep up with demand. With ambitious goals for 2025 and a recent Series A led by Accel, we’ve grown to a team of 50+ across Ireland, the UK, and Spain.

We’re now looking for a machine learning specialist to join our newly formed data team. Combining both research and engineering sides of ML this would be a great role for someone who loves owning the algorithm development process from idea through to production. We are working on a mix of classical ML and operations research problems with ongoing research for new product features.

• Design, build and deploy production new machine learning algorithms. As we build out more of our restaurant operating system we’ll need to build out new algos from scratch. This is a senior role, so we’re looking for people who can ace this kind of work in their stride.
• Monitor, maintain and iterate on existing algorithms. We already have production models for our core products. Part of this role is tracking how these models are performing, identifying opportunities for improvement and implementing upgrades.
• Work closely with product and engineering on collaborative feature releases. Have a voice in the team to ensure we build the right thing and we build it well.
• Learn about our customers and work with them to develop new tooling for restaurants. Get to know how restaurants work, where their current tooling falls short and how we can save them time and money.
• Contribute to the wider data and tech community at Nory through knowledge sharing, standards development, tooling patches and more.

• A scientific approach to problem solving based on crafting and testing hypotheses
• The ability to write clean and maintainable python code
• Real world experience deploying algorithms into production
• Strong fundamentals in ML theory
• You’ve learnt at least one “Way” of running ML projects
• Familiarity with cloud infrastructure

???? Equity at our Series A valuation
???? 35 days of paid leave per year (including bank holidays)
???? Comprehensive private health insurance
???? 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
???? And much more

At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. Your individuality matters, and we’re committed to creating an inclusive workplace where everyone can thrive. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race.