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For Companies At a Glance
- Tasks: Analyse data, build datasets, and develop AI workflows for innovative construction tech.
- Company: Join a leading tech company transforming the construction industry with smart solutions.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact in construction tech while working with cutting-edge AI technologies.
- Qualifications: Strong stats background, Python skills, and experience with data pipelines.
- Other info: On-site role in London with a dynamic team focused on AI advancements.
The predicted salary is between 50000 - 70000 £ per year.
We start with a simple idea: the built environment should be smarter, safer and more sustainable. Everything we do is about helping the people behind major construction and infrastructure projects work together more easily and make better decisions. Asite offers a cloud-based platform that connects project teams, improves collaboration and manages data from the first design to the final handover. Industry leaders such as Laing O’Rourke, Transport for London, MTA New York and Aldar use Asite to keep their projects running smoothly and delivering strong results.
With offices around the world and a record of steady, profitable growth, we are shaping the future of construction technology while supporting the people who build the world around us.
The Role
As an AI Data Scientist at Asite, you will work closely with our AI and Product teams to design, build, and deploy data workflows that support machine learning, analytics, and model development. You’ll help us evaluate and label large volumes of structured and unstructured data, prepare clean datasets, and support the development of new AI capabilities powered by LLMs, embeddings, and vector search. This is an on-site role in our London office, working alongside a growing team focused on scaling our internal AI capabilities.
What You’ll Be Doing
- Analyse and classify structured and unstructured data from across the platform
- Build clean, reliable datasets and automated ETL workflows
- Develop prototypes in Python using pandas, numpy, scikit-learn, and related libraries
- Support experiments with LLMs, embeddings, and vector search technologies
- Work with cloud services (GCP / AWS / Azure) for model deployment and pipeline automation
- Collaborate with engineers and product teams to integrate data workflows into AI features
- Document processes, tools, and analysis outputs clearly and consistently
- Apply production-quality coding practices including Git, API usage, and modular design
What You Bring
- Strong foundation in statistics, data analysis, and machine learning fundamentals
- Proficiency in Python and common data science tooling
- Experience preparing datasets and building automated pipelines
- Comfortable working with both structured and unstructured data
- Familiarity with cloud platforms (GCP / AWS / Azure)
- Understanding of APIs, Git, and robust coding standards
Nice to Have
- Experience working with LLMs, embeddings, or vector databases
- Exposure to NLP, classification, or document understanding problems
- Experience with data visualisation (Tableau, Power BI, or Python libraries)
- Background in deploying ML models in production environments
AI Data Scientist employer: Asite
Contact Detail:
Asite Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Asite. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data workflows or machine learning. This gives us a tangible way to see what you can do beyond your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python, cloud platforms, and any relevant projects. We love seeing candidates who are passionate and knowledgeable!
✨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, it shows you’re genuinely interested in joining our team at Asite.
We think you need these skills to ace AI Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Scientist role. Highlight your experience with Python, data analysis, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've built datasets or worked with machine learning models. This gives us a clear picture of your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're excited about the role and how your background makes you a great fit. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Asite
✨Know Your Data Inside Out
Make sure you’re well-versed in both structured and unstructured data. Brush up on your experience with datasets, especially how to clean and prepare them for analysis. Being able to discuss specific examples of your past work will show that you can hit the ground running.
✨Show Off Your Coding Skills
Since Python is a key part of the role, be ready to demonstrate your proficiency. Prepare to talk about libraries like pandas, numpy, and scikit-learn. You might even want to practice coding challenges or projects that showcase your ability to build automated ETL workflows.
✨Familiarise Yourself with Cloud Platforms
Asite uses cloud services like GCP, AWS, and Azure, so it’s crucial to have a solid understanding of these platforms. Be prepared to discuss any relevant experience you have with model deployment and pipeline automation, as this will be a big part of the job.
✨Collaborate and Communicate
This role involves working closely with engineers and product teams, so highlight your teamwork skills. Think of examples where you’ve successfully collaborated on projects, and be ready to explain how you document processes and outputs clearly. Good communication is key!