> Markdown version of [/jobs/ext/2792855-data-analytics-senior-associate](https://www.wearedevelopers.com/jobs/ext/2792855-data-analytics-senior-associate). 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 & Analytics - Senior Associate - **Company:** Fitch Group - **Location:** London, UK - **Experience:** Expert - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Cloud Computing, Encodings, Computer Programming, Python (Programming Language), Rapid Prototyping Process, Power BI, SQL Databases, Tableau (Software), Large Language Models, Git, Data Layers, Containerization, Information Technology, Data Analytics, Qlikview, Integration Frameworks, Virtual Agents, Restful APIs, Software Version Control, Data Pipelines, Docker - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2840656635-data--analytics-senior-associate ## About the Role * A degree in Computer Science, Data Science, Mathematics, or a related discipline (or equivalent practical experience), plus evidence you can deliver in real-world settings (e.g., 1-3 years experience, internships, or substantial end-to-end projects). * Strong programming skills in Python, with the ability to write readable, testable code and ship working solutions. * Genuine curiosity about AI, LLMs, and the evolving analytics landscape, evidenced by personal projects, writing, contributions, or experimentation. * Familiarity with some of: SQL, REST APIs, cloud platforms (AWS preferred), and version control (Git). * Ability to work independently: you can scope tasks, manage your time, and make pragmatic trade-offs to deliver value with minimal supervision. * Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders., * Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). * Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. * Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau) and their extensibility models. * Understanding of vector databases, RAG architectures, and embedding-based retrieval. * Experience with containerisation (Docker) and/or CI/CD pipelines. ## Description * High ownership from day one, with clear goals and access to experienced colleagues for targeted support and review (rather than intensive day-to-day training). * The opportunity to contribute to high-impact analytics and reporting initiatives that support decision-making across Fitch Group. * A supportive, collaborative environment with access to experienced colleagues across a global function. * Exposure to a broad range of stakeholders, data sources, and business questions-with clear progression toward greater ownership., * Agentic AI Workflows - Help build and iterate on autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). * Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. * LLM-Powered Analytics - Prototype LLM-enabled features for summarisation, insight narration, and conversational analytics, and help evaluate what is production-ready. * Rapid Prototyping - Turn ideas into working proofs-of-concept quickly, learning through iteration and feedback. * Data Pipeline & Integration Design - Work with the team to connect prototypes to enterprise data sources using modern tooling, with an emphasis on quality, reliability, and security. * Evaluation & Benchmarking - Help define tests and evaluation criteria (accuracy, latency, cost, and user impact) to support decisions on what to scale. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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)