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- Tasks: Develop AI models and analyse data to optimise hospitality services.
- Company: Join a dynamic startup revolutionising the hospitality industry in London.
- Benefits: Enjoy private medical insurance, gym membership, and ownership shares.
- Why this job: Be part of a friendly team making a real impact in hospitality with cutting-edge technology.
- Qualifications: 2+ years experience in AI model development and proficiency in Python and AWS.
- Other info: Work in a dog-friendly office located in vibrant Camden.
The predicted salary is between 44000 - 86000 £ per year.
Join a dynamic startup transforming the hospitality industry. This role focuses on developing AI models to optimise labour deployment and enhance service quality for major UK hospitality brands.
Key Responsibilities:
- Develop AI models to predict and deploy labour in line with demand.
- Analyse partner data (e.g. PizzaExpress) to identify opportunities, presenting findings through visualisations for stakeholders.
- Design and manage scalable data pipelines to enhance analytics capabilities.
- Collaborate with both technical and non-technical stakeholders to address partner challenges.
Candidate Profile:
- ~2+ Years hands-on experience in building and implementing production-ready AI models.
- ~ Proficiency in Python and familiarity with AI libraries/frameworks.
- ~ Proficient in applying supervised and unsupervised machine learning algorithms to solve complex data problems.
- ~ Experience with AWS cloud platform, particularly AI/ML services like SageMaker and Lambda.
- ~ Solid expertise in mathematical, statistical, and modelling frameworks.
- ~ Willingness to develop proficiency in backend development (Python with Django, Go).
Benefits:
- Private medical insurance.
- Office gym membership.
- Ownership shares in a well-funded, growing startup.
- A social, friendly, and welcoming team based in Camden.
- Dog-friendly office environment.
Data Scientist - Machine Learning - AWS employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Machine Learning - AWS
✨Tip Number 1
Familiarise yourself with the specific AI models and algorithms mentioned in the job description. Being able to discuss your experience with supervised and unsupervised machine learning during the interview will show that you understand the role's requirements.
✨Tip Number 2
Brush up on your AWS skills, particularly with services like SageMaker and Lambda. If you can demonstrate practical knowledge of these tools, it will set you apart from other candidates who may not have hands-on experience.
✨Tip Number 3
Prepare to discuss how you've collaborated with both technical and non-technical stakeholders in the past. This role requires effective communication, so having examples ready will highlight your ability to bridge the gap between different teams.
✨Tip Number 4
Show enthusiasm for the hospitality industry and how AI can transform it. Research current trends and challenges in this sector, and be ready to share your insights on how your skills can contribute to solving these issues.
We think you need these skills to ace Data Scientist - Machine Learning - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI models, Python proficiency, and any relevant AWS services you've worked with. Use keywords from the job description to ensure it aligns with what the company is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the hospitality industry and how your skills can contribute to optimising labour deployment. Mention specific projects or experiences that demonstrate your ability to analyse data and present findings effectively.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, particularly in machine learning algorithms and data pipeline management. If you have experience with specific AI libraries or frameworks, make sure to mention them.
Prepare for Potential Questions: Anticipate questions related to your experience with AWS and machine learning. Be ready to discuss specific challenges you've faced in previous roles and how you overcame them, as well as your approach to collaborating with both technical and non-technical stakeholders.
How to prepare for a job interview at Intellect Group
✨Showcase Your AI Expertise
Be prepared to discuss your hands-on experience with AI models. Highlight specific projects where you've built and implemented production-ready models, especially those that relate to labour optimisation or service quality.
✨Demonstrate Data Analysis Skills
Bring examples of how you've analysed data in the past. Be ready to explain your approach to identifying opportunities from partner data and how you presented your findings through visualisations.
✨Familiarity with AWS is Key
Since the role requires experience with AWS, particularly AI/ML services like SageMaker and Lambda, make sure to discuss any relevant projects where you've utilised these tools. This will show your readiness for the technical demands of the position.
✨Collaboration is Crucial
Prepare to talk about your experience working with both technical and non-technical stakeholders. Share examples of how you've addressed challenges collaboratively, as this is essential for the role in a dynamic startup environment.
