Senior Data Scientist in London

Let's fix hospitality, for good. Hospitality is tough – margins are thin, waste is high, and teams are stretched. But it doesn't have to be this hard. That's why we built Nory. Our CEO, Conor, knows the pain first-hand. After founding and scaling Mad Egg in Ireland, he got fed up with juggling "market-leading" systems, clunky spreadsheets, and endless printouts. So he set out to build the tool he wished he'd had from day one.

Nory is an all-knowing restaurant management system. It blends real-time data with AI predictive analytics, giving operators control of their margins. From food prep to forecasting, it's operational intelligence that helps restaurants run with consistency, certainty, and profit. The result? Thriving restaurants, better jobs, less waste, healthier margins. And we're just getting started. Fresh off a Series B led by Kinnevik, we've grown to 70+ people across Ireland, the UK, and Spain – and demand is scaling faster than we ever imagined.

We're looking for a Senior Data Scientist to work with Applied Machine Learning and help us build models that actually work — not just in a notebook, but in the messy, real world of live operations. This isn't a research or pure experimentation role. It's about building practical ML systems that drive results — and making sure they keep working long after they're deployed.

What you'll be doing:

• This role is for someone who thrives on ownership, moves fast with rigour, and cares about meaningful business impact. You'll design, build, and maintain machine learning systems that optimise how our customers operate day‐to‐day — from forecasting demand to improving labour planning, reducing waste, and more.
• Own ML end-to-end: Take problems from initial framing all the way through to production deployment, monitoring, and iteration. You'll lead with autonomy and pace.
• Apply statistical and ML rigour: Choose the right tool for the job, and explain why. Your approach is grounded in fundamentals, not just patterns.
• Keep systems alive: Build with monitoring and retraining in mind. Your models will keep learning and delivering value in production.
• Work hand‐in‐hand with product teams: Collaborate with engineers, PMs, and designers to embed ML into our product in ways that drive commercial outcomes.
• Focus on business impact: Success isn't just a great validation score — it's improved margins, better efficiency, and clearer decisions for our customers.
• Contribute to our culture: Help us raise the bar by sharing learnings, giving feedback, and shaping how we grow the ML craft at Nory.

What you'll bring:

• Proven end-to-end ownership: You've shipped ML systems in production, more than once. You know what it takes to get from idea to impact — fast, and without a big team around you.
• Strong classical ML foundation: You're comfortable with forecasting, regression, classification, drift detection, causal reasoning, and feature engineering — and can back up your decisions with clarity.
• Statistical & experimental thinking: You apply rigour in how you design solutions and test what's working — always with an eye on practical outcomes.
• Hands‐on technical skills: Strong Python, confident with ML libraries like scikit‐learn, pandas, and LightGBM. You've worked with cloud infrastructure (e.g. GCP) and modern data tools (e.g. dbt, Snowflake).
• Cross‐collaboration: You thrive in highly collaborative environments, communicate clearly, and offer help where needed to improve team outcomes.
• Clear communicator: You explain complex ideas simply, listen well, and bring others along with you.
• Startup‐ready mindset: You're proactive, resourceful, and thrive in ambiguity. You bias towards action and know when to optimise for speed vs. polish.

Nice-to-have:

• Experience working in lean data teams with high ownership cultures.
• Background in B2B SaaS or operational domains (e.g. logistics, supply chain, workforce planning).
• Exposure to LLMs or modern NLP approaches (not a core part of this role, but useful context).

What you'll get in return:

• Competitive salary range.
• Meaningful equity, at N 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.
• Offices in either London (LABS House, 15-19 Bloomsbury Way) or Dublin (Dogpatch Labs, The Chq Building, Custom House Quay, North Wall).
• And much more.

How we work:

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. At Nory, we believe that diverse teams build better products. We welcome applicants from all backgrounds, identities, and walks of life. We do not discriminate based on gender, ethnicity, sexual orientation, religion, family status, age, disability, or race. What matters to us is how you think, how you work, and what you bring to the table. Please let us know if you require any adjustments so you can bring your best self to the interview process.