> Markdown version of [/jobs/ext/2359509-data-scientist](https://www.wearedevelopers.com/jobs/ext/2359509-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** EXL Service - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Tensorflow, Search Technologies, Web Applications, Pytorch, Flask (Web Framework), Large Language Models, Prompt Engineering, Generative AI, Fastapi, Build Management, Scikit Learn, HuggingFace, Machine Learning Operations, Streamlit Framework, GPT - **Published:** August 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=073fdb75350165ba ## About the Role We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar., * 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects. * Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow. * Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models. * Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques. * Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask). * Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices.Excellent communication skills with the ability to translate technical solutions into business impact. Skills and Personal attributes we would like to have: * Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning. * Knowledge of data privacy and security considerations in GenAI applications. * Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare). * Palantir Tool knowledge is preferred ## Description As part of your duties, you will be responsible for: * Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval. * Fine-tune or adapt foundation models using domain-specific data. * Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB). * Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs. * Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks. * Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost. * Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)