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- Tasks: Design and deploy machine learning algorithms for our restaurant operating system.
- Company: Join Nory, a fast-growing tech company revolutionising restaurant profitability.
- Benefits: Enjoy equity, 35 days paid leave, private health insurance, and a home office budget.
- Why this job: Be part of a mission-driven team making a real impact in the restaurant industry.
- Qualifications: Strong ML theory, Python coding skills, and experience deploying algorithms required.
- Other info: We value diversity and inclusivity, welcoming applicants from all backgrounds.
The predicted salary is between 43200 - 72000 ÂŁ per year.
The mission if you choose to accept it: 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.
What you'll be doing:
- Design, build and deploy production new machine learning algorithms.
- Monitor, maintain and iterate on existing algorithms.
- Work closely with product and engineering on collaborative feature releases.
- Learn about our customers and work with them to develop new tooling for restaurants.
- Contribute to the wider data and tech community at Nory through knowledge sharing, standards development, tooling patches and more.
Your profile:
- 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.
Why us?
- 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.
We hire humans. 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.
Senior Data Scientist (Applied Machine Learning) employer: Nory
Contact Detail:
Nory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (Applied Machine Learning)
✨Tip Number 1
Familiarise yourself with the specific machine learning algorithms and techniques mentioned in the job description. Being able to discuss these in detail during your interview will show that you have a strong grasp of the role's requirements.
✨Tip Number 2
Research Nory's current products and their existing algorithms. Understanding how they work and where improvements can be made will allow you to propose insightful ideas during your discussions with the team.
✨Tip Number 3
Network with current or former employees of Nory on platforms like LinkedIn. This can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss past projects where you've successfully deployed machine learning algorithms, as this will highlight your real-world experience.
We think you need these skills to ace Senior Data Scientist (Applied Machine Learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data science. Focus on projects where you've designed, built, and deployed algorithms, as well as any experience with cloud infrastructure.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the mission of Nory and how your skills align with their goals. Mention specific examples of your work that demonstrate your ability to solve real-world problems using machine learning.
Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your scientific approach to problem-solving. Discuss how you've crafted and tested hypotheses in previous roles, particularly in relation to algorithm development.
Highlight Collaboration Experience: Since the role involves working closely with product and engineering teams, emphasise any past experiences where you collaborated on feature releases or contributed to team projects. This shows you can communicate effectively and work well in a team environment.
How to prepare for a job interview at Nory
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've approached complex problems in machine learning. Highlight your scientific approach and how you crafted and tested hypotheses in previous projects.
✨Demonstrate Your Technical Proficiency
Be ready to talk about your experience with Python and deploying algorithms into production. You might be asked to solve a coding challenge, so brush up on writing clean and maintainable code.
✨Understand the Business Context
Familiarise yourself with the restaurant industry and the challenges they face. Show that you understand how your work can directly impact their profitability and efficiency, aligning with the company's mission.
✨Engage in Collaborative Discussions
Since the role involves working closely with product and engineering teams, prepare to discuss how you would approach collaborative feature releases. Be open to sharing ideas and demonstrating your ability to communicate effectively within a team.
