Aspect

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 services for all types of needs. To enhance efficiency, we have designed and implemented our own custom software, Chumley, which has significantly streamlined our day-to-day operations.

Our people are our greatest asset. That's why we continuously invest in their training and provide them with the best equipment. This commitment to our team enables us to provide the best service possible for our customers.

Listed Jobs

Company Name

Aspect

Job Title

Data Scientist Intern

Job Description

**Job Title** Data Scientist Intern **Role Summary** A 4‑month internship focused on generative AI, large language models (LLMs) and Retrieval‑Augmented Generation (RAG). Interns design, prototype, and evaluate LLM‑based solutions to enhance customer experience and internal workflows, collaborating with data, product, engineers and ops teams. **Expectations** - Complete 4‑month program producing production‑ready prototypes. - Translate academic knowledge into business‑impactful AI solutions. - Present technical findings to stakeholders and contribute to best‑practice documentation. **Key Responsibilities** - Prototype RAG pipelines: set up vector stores, build retrieval strategies, iterate on prompts. - Fine‑tune or adapt foundation models (e.g., Llama‑3, GPT‑4o) on company data. - Develop evaluation harnesses measuring accuracy, latency, and hallucination rates. - Implement solutions using Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.). - Collaborate with analysts, engineers, and ops to transition PoCs into deployable micro‑services. - Present results, translating technical insights into business value. - Contribute to documentation on prompt engineering, model versioning, and AI governance. **Required Skills** - Strong Python programming and experience with PyTorch/Transformers. - Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma) and RAG concepts. - Knowledge of LLM orchestration frameworks (LangChain, LlamaIndex). - Ability to explain complex ideas to non‑technical audiences. - Quick learning, experimentation, and shipping of prototypes. - Experience with cloud LLM services (OpenAI, Azure AI, etc.) is a plus. - Familiarity with prompt‑engineering and evaluation metrics (BLEU, ROUGE, BERTScore) is desirable. - Basic MLOps understanding (MLflow, GitHub Actions) is a bonus. **Required Education & Certifications** - Currently pursuing or recently completed a Master’s degree in Data Science, Machine Learning, Artificial Intelligence, or a related field.

London, United kingdom

On site

Fresher

09-09-2025

Company Name

Aspect

Job Title

Data Science Intern

Job Description

**Job Title:** Data Science Intern (Generative AI / LLM / RAG) **Role Summary:** Four‑month internship supporting data and product teams to design, prototype, and evaluate Large Language Model (LLM) and Retrieval‑Augmented Generation (RAG) solutions that enhance customer experience, internal workflows, and decision‑making. **Expactations:** - Strong problem‑solving mindset; able to experiment, iterate quickly, and ship usable prototypes. - Ability to communicate technical concepts clearly to non‑technical stakeholders. - Curiosity about applying AI to drive measurable business impact. **Key Responsibilities:** - Prototype RAG pipelines: set up vector stores, define retrieval strategies, and refine prompts. - Fine‑tune or adapt foundation models (e.g., Llama‑3, GPT‑4o) on company‑specific data. - Build evaluation harnesses to track accuracy, latency, and hallucination rates. - Develop micro‑service prototypes using Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.). - Collaborate with analysts, engineers, and operations to transition PoCs into deployable services. - Present findings and business value to stakeholders. - Contribute documentation on prompt engineering, model versioning, and AI governance. **Required Skills:** - Proficient in Python; experience with modern ML/AI stacks (PyTorch, Transformers). - Familiarity with vector databases (FAISS, Pinecone, Qdrant, Chroma) and RAG concepts. - Basic understanding of LLM orchestration frameworks (LangChain, LlamaIndex) – nice to have. - Knowledge of prompt‑engineering techniques and evaluation metrics (BLEU, ROUGE, BERTScore) – nice to have. - Ability to explain complex ideas to non‑technical audiences. **Required Education & Certifications:** - Currently pursuing or recently completed a Master’s degree in Data Science, Machine Learning, Artificial Intelligence, or a closely related field.

London, United kingdom

On site

Fresher

09-09-2025