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- Tasks: Analyse data and develop automated pipelines for cutting-edge construction tech.
- Company: Leading construction technology firm in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the construction industry.
- Qualifications: Strong data science background, Python skills, and cloud service experience.
- Other info: Exciting projects and a chance to shape the future of construction.
The predicted salary is between 50000 - 70000 £ per year.
A leading construction technology firm is seeking an AI Data Scientist to join their team in London. In this role, you will analyze structured and unstructured data, develop automated data pipelines, and support the integration of machine learning capabilities into their cloud-based platform.
The ideal candidate should have a strong foundation in data science, proficiency in Python, and experience with cloud services like GCP, AWS, and Azure. This position offers a unique opportunity to contribute to innovative projects in the construction industry.
AI Data Scientist — On-Site London, ML & Data Pipelines employer: Asite
Contact Detail:
Asite 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 people in the construction tech space on LinkedIn or at industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving machine learning and cloud services. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when discussing complex topics like AI and data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
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 science and machine learning. We want to see how your skills in Python and cloud services like GCP, AWS, or Azure can contribute to our innovative projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the AI Data Scientist role and how your background aligns with our mission in the construction tech space. Keep it engaging and personal!
Showcase Relevant Projects: If you've worked on any cool data projects, make sure to mention them! We love seeing real-world applications of your skills, especially those involving automated data pipelines or machine learning integration.
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
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics. Be prepared to discuss concepts like data cleaning, feature engineering, and model evaluation. This will show that you have a solid foundation and can handle the technical aspects of the role.
✨Showcase Your Python Skills
Since proficiency in Python is key for this position, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to building a data pipeline. Practise coding challenges beforehand to boost your confidence.
✨Familiarise Yourself with Cloud Services
As the job involves working with cloud platforms like GCP, AWS, and Azure, make sure you understand their functionalities. Be prepared to discuss any projects where you've used these services, as it will highlight your practical experience and readiness for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world scenarios in the construction industry. Think about how you would approach integrating machine learning into existing systems or automating data processes. This will demonstrate your problem-solving skills and industry knowledge.