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- Tasks: Engage with clients to deliver AI solutions and drive operational improvements.
- Company: Data-driven restaurant management company in Greater London.
- Benefits: Competitive salary, equity, 35 days paid leave, and comprehensive health insurance.
- Why this job: Make a real impact in the hospitality industry using your data science skills.
- Qualifications: STEM degree and 6+ years of client-facing experience required.
- Other info: Join a dynamic team focused on innovation and client success.
The predicted salary is between 43200 - 72000 £ per year.
A data-driven restaurant management company in Greater London is seeking a Forward Deployed Data Scientist to support Enterprise clients. You will engage with senior stakeholders to deliver AI solutions across multiple sites, ensuring effective adoption and operational improvements.
With a STEM degree and 6+ years of client-facing experience, you will leverage your SQL and Python skills to drive high-impact results.
We offer competitive salary and equity, along with 35 days of paid leave and comprehensive health insurance.
Enterprise Data Scientist — Field Deployment (Hospitality) in London employer: Nory
Contact Detail:
Nory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Scientist — Field Deployment (Hospitality) in London
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend local meetups. Engaging with people in the hospitality and data science sectors can open doors and give you insider info on job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your SQL and Python projects, especially those relevant to AI solutions in hospitality. This will help you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to client-facing roles. We recommend role-playing with a friend to build confidence and refine your responses.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Enterprise Data Scientist — Field Deployment (Hospitality) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Enterprise Data Scientist role. Highlight your SQL and Python expertise, as well as any client-facing experience you've had, to show us you're the perfect fit.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science in the hospitality sector and how you can help our clients achieve operational improvements. Be genuine and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We want to see your thought process and how you’ve used data to drive impactful results for clients.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Nory
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and techniques relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss how you've used them in past projects, especially in a client-facing context.
✨Engage with Stakeholders
Since you'll be working with senior stakeholders, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully communicated with clients in the past, focusing on how you ensured their needs were met.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach delivering AI solutions in a restaurant management context, and demonstrate your analytical thinking and creativity in solving operational challenges.
✨Research the Company Culture
Familiarise yourself with the company’s values and mission. Understanding their approach to hospitality and data-driven solutions will help you align your answers with what they’re looking for, showing that you’re not just a fit for the role, but for the team as well.