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- Tasks: Design and develop data workflows to enhance AI capabilities and support machine learning initiatives.
- Company: Dynamic software development firm based in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the AI field.
- Qualifications: Strong foundation in data analysis and enthusiasm for AI technologies.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A software development firm in Greater London is seeking a skilled AI Data Scientist. In this mid-senior level role, you will collaborate with product teams to design and develop data workflows that enhance AI capabilities.
You will analyze structured and unstructured data, build reliable datasets, and support machine learning initiatives using various tools such as Python and cloud services like GCP, AWS, and Azure.
Applicants should have a strong foundation in data analysis and enthusiasm for AI technologies.
AI Data Scientist — On-Site London, ML & Data Pipelines employer: Asite Solutions Limited
Contact Detail:
Asite Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist — On-Site London, ML & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data workflows and machine learning. We want to see your hands-on experience with Python and cloud services like GCP, AWS, and Azure.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We recommend practising common data analysis scenarios and being ready to discuss how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Data Scientist — On-Site London, ML & Data Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and AI technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a great fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone with a strong foundation in data workflows, make sure to mention your proficiency in Python and any cloud services like GCP, AWS, or Azure. We love seeing practical examples of your work!
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 Asite Solutions Limited
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python and the cloud services mentioned in the job description, like GCP, AWS, and Azure. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data workflows.
✨Showcase Your AI Enthusiasm
Since the role requires a passion for AI technologies, prepare to talk about recent advancements in AI that excite you. This could be anything from new algorithms to innovative applications. Demonstrating your enthusiasm can set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and machine learning. Brush up on key concepts and be ready to solve problems on the spot. Practising with mock interviews or coding challenges can help you feel more confident during the actual interview.
✨Collaborative Mindset
As you'll be working closely with product teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve project goals, highlighting your communication skills and teamwork.
