Senior Data Scientist – Applied Machine Learning

Job not on LinkedIn

October 27

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Logo of Nory

Nory

AI • Hospitality • SaaS

Nory is a comprehensive AI-powered platform designed specifically for restaurant management and operational success. It offers business intelligence, inventory and supply chain management, workforce and human resources management, alongside managed payroll services and growth funding specifically tailored for the restaurant industry. Nory provides tools to maximize margins, reduce waste, and streamline operations, while automating payroll and providing financing for restaurant growth. It serves independent brands, multi-location brands, franchise networks, and enterprise groups, aiming to ensure consistency and profitability across various venues. With a focus on AI-driven insights, Nory helps restaurants forecast sales, plan labor deployment and inventory usage, thus enhancing restaurant teams' performance.

51 - 200 employees

☁️ SaaS

📋 Description

• Own ML end-to-end: Take problems from initial framing all the way through to production deployment, monitoring, and iteration. • Apply statistical and ML rigour: Choose the right tool for the job, and explain why. • Keep systems alive: Build with monitoring and retraining in mind. • Work hand-in-hand with product teams: Collaborate with engineers, PMs, and designers. • Focus on business impact: Success isn’t just a great validation score — it’s improved margins. • Contribute to our culture: Help us raise the bar by sharing learnings, giving feedback, and shaping how we grow the ML craft at Nory.

🎯 Requirements

• Proven end-to-end ownership: You’ve shipped ML systems in production, more than once. • Strong classical ML foundation: You're comfortable with forecasting, regression, classification, drift detection, causal reasoning, and feature engineering. • Statistical & experimental thinking: You apply rigour in how you design solutions and test what’s working. • Hands-on technical skills: Strong Python, confident with ML libraries like scikit-learn, pandas, and LightGBM, and experience 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. • 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.

🏖️ Benefits

• Competitive salary range • 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 • Offices in either London (LABS House, 15-19 Bloomsbury Way) or Dublin (Dogpatch Labs, The Chq Building, Custom House Quay, North Wall)

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