Data is our superpower—not just for insight, but for building intelligent, scalable products. Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. We’re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering. You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation. You’ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions. What You’ll Be Doing Today: Driving Commercial Impact with Data<ul><li>Lead end-to-end data science projects that deliver measurable business outcomes</li><li>Work hands-on with data analysis, modelling, and experimentation</li><li>Translate business challenges into analytical solutions and clear insights</li><li>Partner with stakeholders across commercial, product, and engineering teams</li><li>Embed data into decision-making across the organisation</li><li>Mentor and support a small team of Data Scientists</li></ul> Evolving the Role: Building AI-Powered Capabilities<ul><li>Design and develop AI-powered features such as assistants, copilots, and intelligent workflows</li><li>Build and deploy Retrieval-Augmented Generation (RAG) pipelines</li><li>Apply NLP techniques to structure and unlock value from unstructured text</li><li>Develop semantic and hybrid search solutions (vector + keyword)</li><li>Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications</li></ul> Future State: Shaping Intelligent Products & Strategy<ul><li>Help define how AI becomes embedded in our core product offering</li><li>Influence product strategy through data and AI capabilities</li><li>Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration)</li><li>Establish best practices for experimentation, evaluation, and model performance</li><li>Elevate the organisation from analytics-led to decision intelligence and AI-driven automation</li></ul> What We’re Looking For Core Data Science Expertise<ul><li>Strong experience as a Data Scientist in a SaaS or data-rich environment</li><li>Proven track record of delivering commercially impactful solutions</li><li>Expertise in experimentation, statistical analysis, and modelling</li><li>Strong SQL and data manipulation skills</li><li>Experience with Elastic / Elasticsearch and observability tooling</li></ul> Engineering & AI Capability<ul><li>Strong Python skills and experience building data/ML pipelines</li><li>Experience developing APIs or production-grade systems</li><li>Hands-on exposure to LLMs and prompt engineering</li><li>Understanding of RAG architectures and NLP pipelines</li><li>Familiarity with search technologies (Elasticsearch, vector databases, or similar)</li></ul> Collaboration & Influence<ul><li>Excellent xwzovoh stakeholder management and communication skills</li><li>Ability to translate complex technical work into business value</li><li>Comfortable working cross-functionally across product, engineering, and commercial teams</li></ul> Leadership & Growth<ul><li>Experience mentoring or supporting junior team members</li><li>Interest in shaping standards, tools, and ways of working</li><li>Motivated by building both immediate impact and long-term capability</li><li>Docker, Kubernetes, or scalable deployment environments</li><li>Background in building AI-powered or search-driven products</li></ul> Why Join Us?<ul><li>Immediate impact: Deliver high-value data science work from day one</li><li>Future-facing: Help build real AI products—not just models in notebooks</li><li>Ownership: Shape both what we build and how we build it</li><li>Growth: Evolve into a key leader in AI and data strategy</li><li>Environment: Fast-moving, collaborative SME where data and AI are core to success</li></ul>

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