Data Scientist Senior Analyst

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI. This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models. This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling. About the role: Design and build end-to-end data science solutions, from problem framing to production deployment Work with large, messy, real-world datasets and turn them into models that influence product and business decisions Develop and iterate on machine learning models including predictive, probabilistic and optimisation-based approaches Experiment with modern techniques such as LLM-powered workflows, embeddings and retrieval-augmented approaches where relevant Partner closely with engineers and product teams to productionise models and measure real impact Own experimentation, validation, and monitoring to ensure models perform in live environments About you: 4-6 years of experience in data science or applied machine learning roles Strong grounding in statistics, experimentation and model evaluation, not just model building Hands-on experience with Python and common data science libraries Comfortable working across the full lifecycle from exploration to deployment Experience working with modern ML tooling such as feature stores, model pipelines or real-time inference is a plus Curious by nature and excited by new approaches such as LLMs, agentic workflows and multimodal data Able to communicate complex ideas clearly to non-technical stakeholders