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For Companies At a Glance
- Tasks: Design and develop AI systems while collaborating with engineers and business teams.
- Company: Zonda, a leader in housing data and technology solutions.
- Benefits: Gain hands-on experience, professional development, and exposure to cutting-edge AI tools.
- Other info: Join a diverse team focused on innovation and continuous learning.
- Why this job: Make a real impact in the fast-growing housing sector with innovative AI solutions.
- Qualifications: Pursuing a degree in Computer Science or related field, with Python proficiency.
The predicted salary is between 20000 - 30000 ÂŁ per year.
Why you’ll love Zonda
Zonda is redefining the future of housing. As the leading provider of data, analytics, and technology solutions for the homebuilding industry, we are uniquely positioned at the center of one of the fastest-growing sectors in real estate. We make bold bets on the future of housing, empowering the next generation of builders, developers, lenders, and industry professionals with the insights and tools they need to win.
Department: Data Science
Remote, United Kingdom
At Zonda, you’ll have the opportunity to bring your passion, curiosity, and technical expertise to a team shaping the future of housing through innovation, data, and emerging technologies. If you are excited by the opportunity to work on cutting‑edge AI solutions in a collaborative, fast‑moving environment, this is a role where you can make a real impact while continuing to grow your skills.
The Role
Zonda is seeking an AI Intern to join our Data Science team and support the engineering of AI‑powered products. In this internship, you will work closely with senior engineers and cross‑functional business stakeholders, contributing to the full lifecycle of building, testing, deploying and maintaining emerging GenAI‑based solutions. This role is ideal for a student who is passionate about artificial intelligence, software development, and solving real‑world business problems through innovative technology. The ideal candidate brings strong programming and analytical skills, experience with LLM‑based or NLP‑heavy applications, and interest in working across both technical and business‑facing teams.
What You’ll Do
- Design, develop, and optimize agentic AI systems and AI‑powered product capabilities
- Partner with team members to gather, clarify, and establish requirements for AI products
- Support the deployment, monitoring, and maintenance of AI products in production environments
- Help define and track key performance metrics such as accuracy, retrieval rates, and hit rates, and assist in identifying corrective actions when performance declines
- Evaluate and implement tools to monitor AI product performance and reliability in production
- Create and maintain technical documentation related to product design, model selection, experimentation, and production infrastructure
- Collaborate with engineering and non‑technical stakeholders to communicate AI concepts clearly and support adoption of AI solutions
- Stay current on emerging trends, tools, and best practices in artificial intelligence, machine learning, and GenAI applications
What You’ll Bring
- Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Proficiency in Python
- Experience building and deploying at least two LLM‑based or NLP‑heavy applications in real‑world or project‑based settings, ideally using frameworks such as LangGraph, LangChain, or AutoGen
- Strong mathematical, analytical, and problem‑solving skills
- Experience with retrieval systems, embeddings, and vector databases such as Weaviate or Pinecone
- Ability to structure and execute an agentic AI project from concept through implementation
- Familiarity with cloud platforms such as AWS
- Experience using version control tools such as Git
- Ability to leverage coding agents or AI‑assisted development tools to accelerate software development
- Strong communication and collaboration skills, with the ability to work effectively in a team environment
Preferred Qualifications
- Knowledge of SQL and NoSQL databases, including writing queries, query optimization, and schema design
- Experience developing APIs using tools such as FastAPI or Flask
- Understanding of machine learning algorithms and language models such as GPT, BERT, or similar technologies
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes
- Ability to explain technical AI concepts to non‑technical stakeholders in a clear and approachable way
What You’ll Gain
- Hands‑on experience building and supporting AI‑powered products in a real‑world business environment
- Exposure to the end‑to‑end lifecycle of GenAI product development, from requirements gathering through production monitoring
- Opportunities to collaborate with experienced engineers and business stakeholders across the organization
- Practical experience with modern AI tools, frameworks, cloud platforms, and production workflows
- A deeper understanding of how advanced AI solutions can drive business value in the housing and real‑estate technology space
- Professional development in a fast‑paced, collaborative environment focused on innovation and continuous learning
Diversity & Inclusion
Inclusion & Equal Opportunity Employment: Zonda (formerly Hanley Wood | Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion, and belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in the United States.
AI Intern in Glasgow employer: Zonda
Contact Detail:
Zonda Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Intern in Glasgow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Zonda. A friendly message on LinkedIn can go a long way. Just be genuine and express your interest in their work.
✨Tip Number 2
Prepare for interviews by brushing up on your AI knowledge and coding skills. Practice common interview questions related to AI and data science. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 3
Showcase your projects! If you've built any LLM-based or NLP applications, make sure to highlight them during interviews. Bring along your portfolio or GitHub link to demonstrate your hands-on experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Zonda team. Don’t miss out on this opportunity!
We think you need these skills to ace AI Intern in Glasgow
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Intern role. Highlight your programming skills, especially in Python, and any relevant projects you've worked on. We want to see how your experience aligns with what we're looking for!
Show Your Passion: Let your enthusiasm for AI and technology shine through in your application. Share any personal projects or experiences that demonstrate your curiosity and commitment to the field. We love seeing candidates who are genuinely excited about shaping the future of housing!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your skills and experiences, and avoid jargon unless it's relevant. We appreciate clarity and want to understand your background without any confusion.
Apply Through Our Website: Don't forget to submit your application through our official website! This ensures that your application gets to the right people quickly. Plus, it shows us that you're serious about joining our team at Zonda.
How to prepare for a job interview at Zonda
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around LLMs and NLP. Be ready to discuss any projects you've worked on that involved these technologies, as well as the frameworks you used like LangGraph or LangChain.
✨Show Off Your Problem-Solving Skills
Zonda is looking for someone who can tackle real-world problems with innovative tech. Prepare examples of how you've approached challenges in past projects, particularly those involving data analysis or software development.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex AI concepts in simple terms. This will show that you can bridge the gap between different stakeholders effectively.
✨Ask Smart Questions
At the end of the interview, have a few insightful questions ready about Zonda's AI initiatives or the team dynamics. This shows your genuine interest in the role and helps you understand if it's the right fit for you.