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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 collaborative work environment await you.
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 practical coding challenges. We recommend practicing with Python and familiarising yourself with the cloud platforms mentioned in the job description.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 science and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Data Scientist position and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone with cloud service experience, make sure to mention any work you've done with GCP, AWS, or Azure. Highlight specific projects where you’ve developed automated data pipelines or integrated machine learning capabilities.
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 during the process!
How to prepare for a job interview at Asite
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around structured and unstructured data. Be ready to discuss how you’ve applied these concepts in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python during the interview. You might be asked to solve a coding problem or explain your approach to developing automated data pipelines, so practice common algorithms and data manipulation techniques.
✨Familiarise Yourself with Cloud Services
Since the role involves cloud-based platforms, make sure you’re well-versed in GCP, AWS, and Azure. Be ready to discuss specific projects where you’ve used these services, highlighting any challenges you faced and how you overcame them.
✨Understand the Construction Industry
Research the construction technology sector and think about how AI can innovate this field. Being able to discuss industry-specific applications of machine learning will set you apart and show your genuine interest in the role.