Job Specifications
About Us
Covering more trades than anyone else, Aspect is one of London's largest property-maintenance teams. We operate 24/7, helping thousands of residential and commercial customers every month. After 15 years of steady growth, we have bold plans to scale even faster over the next three years--and we're harnessing generative AI to get there. If you're excited by cutting-edge tech and real-world impact, join us at this pivotal moment.
The Role
We're looking for an inquisitive, hands-on Data Scientist Intern (Generative AI / LLM / RAG) for a 4-month internship programme. You'll join our data and product teams to design, prototype, and evaluate solutions that leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to improve customer experience, internal workflows, and decision-making.
Think: building chatbots that tap our knowledge base, fine-tuning models on call-centre transcripts, or creating smart agents that surface the right maintenance engineer in seconds. You'll see first-hand how generative AI moves the needle for a growing business.
You Will
Prototype RAG pipelines--set up vector stores, devise retrieval strategies, and iterate on prompts
Fine-tune or adapt foundation models (e.g., Llama-3, GPT-4o) to company-specific data
Build evaluation harnesses to measure accuracy, latency, and hallucination rates
Work with Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.)
Collaborate with analysts, engineers, and ops teams to turn PoCs into deployable micro-services
Present findings to stakeholders, translating technical insight into business value
Contribute to best-practice docs on prompt engineering, model versioning, and AI governance
About You
You're a problem-solver who loves experimenting, learning fast, and shipping usable prototypes. You pair solid theory with the scrappiness needed in a scale-up environment.
Essential
Currently pursuing (or recently completed) a Master's in Data Science, Machine Learning, AI, or similar
Strong Python skills and experience with a modern ML/AI stack (PyTorch, Transformers, or equivalent)
Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma, etc.) and RAG concepts
Ability to explain complex ideas clearly to non-technical audiences
Curiosity about how AI can drive tangible business growth
Nice to Have
Hands-on work with LangChain, LlamaIndex, or similar orchestration frameworks
Knowledge of prompt-engineering techniques and evaluation metrics (BLEU, ROUGE, BERTScore, etc.)
Experience deploying models on Azure, AWS, or GCP
Understanding of MLOps tools (MLflow, Weights & Biases, GitHub Actions)
Prior projects that show a creative application of generative AI (link or brief description)
What You'll Gain
Ownership of real AI projects that reach production users
Mentorship from senior data scientists and engineers
Deep exposure to LLM tooling, RAG architectures, and AI evaluation best practices
A portfolio of deliverables demonstrating end-to-end generative-AI workflows
A collaborative culture that encourages experimentation and values your ideas
About the Company
Serving over 50,000 customers a year, Aspect is London and the South East's number one service company. Founded in 2004, with over 200 of our iconic yellow and blue vehicles on the roads, we are a reliable partner you can count on, responding to emergencies in under an hour.
We are committed to exceeding your expectations - If you need help with heating, plumbing, electrics, carpentry, drains, roofing, appliances, air-con, bathrooms or building, you can contact our call centre 24/7.
We provide comprehensive maintenance se...
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