Data Science Consultant
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Role details
Tech stack
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Requirements
You’re a technically strong, curious data scientist who enjoys working at the frontier of applied AI while staying grounded in delivering real business value.Experience delivering data science or AI solutions in production or near-production environmentsStrong problem-structuring skills and the ability to translate business challenges into analytical approachesConfidence explaining complex AI and data science concepts to non-technical stakeholders Technical experience in several of the following: Programming & Data ScienceProficiency in Python, R, or PySparkExperience with machine learning, statistical modelling, or optimisation techniquesWorking with large, complex datasets in cloud or distributed environments Cloud & Data PlatformsArchitectural knowledge or hands-on experience with one or more major data/AI platforms:Google Cloud Platform (GCP)Amazon Web Services (AWS)Microsoft AzureDatabricks Agentic AI & Generative AIExperience with or interest in emerging Agentic and GenAI ecosystems, such as:Agent and orchestration platforms (e.g. Microsoft Copilot Studio, Adept AI, UiPath, Orby AI, Beam AI)LLM-based solution design, prompt engineering and tool integrationBuilding AI agents that can plan, reason, and interact with systems or usersApplying large language models in enterprise contexts with appropriate governance and controls
About the company
If you’re excited by the idea of building intelligent, agent-driven and GenAI-powered systems that operate in the real world, this role puts you right at the heart of that evolution. An opportunity to join a large, specialist Enterprise Data & Analytics practice delivering cutting-edge Agentic AI, Generative AI, Data Science and advanced analytics solutions for complex problems across industries, throughout the UK. As a Data Scientist in this team, you’ll help clients move beyond experimentation into real-world AI adoption. You’ll work on designing, building and deploying intelligent solutions that combine machine learning, GenAI and agent-based systems to improve decision-making, automate complex tasks and unlock new value from data. You’ll play a hands-on role in both technical delivery and client engagement - helping organisations understand what’s possible with modern AI and turning that potential into scalable, production-ready solutions. What You’ll Be Doing Supporting the end-to-end delivery of Agentic AI, GenAI, Data Science and Analytics projects, ensuring client expectations are met at every stageDesigning and building data science and AI solutions that move from proof of value into production environmentsDeveloping intelligent agents and GenAI-powered workflows that augment or automate business processesCreating compelling demonstrations and prototypes that inspire clients and showcase how AI and advanced analytics can be applied to their real business challengesApplying structured problem-solving to messy, real-world data problems - balancing creativity with practical implementationCollaborating closely with data engineers, architects, domain experts and client stakeholders to deliver robust, scalable outcomesContinuously developing your skills in AI, data science and analytics, adopting modern techniques, tools and frameworks with support from a strong peer communityDelivering work efficiently and to a high standard, contributing to internal best practices and reusable assets
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