Data Scientist Cardiff / Hybrid Engineering AI & Predictive AnalyticsWe're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms.You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure.The RoleThis is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring.Key ResponsibilitiesDevelop machine learning models for risk scoring, churn prediction and contractor analyticsBuild LLM and NLP solutions for automated compliance checks and insight generationDeploy AI and ML models into cloud-based production environmentsWork with Microsoft Fabric for data ingestion, transformation and feature engineeringImprove model monitoring, retraining and optimisation processesCollaborate closely with engineering and product teams in agile delivery squadsCommunicate technical solutions clearly to non-technical stakeholdersContribute to best practices around coding standards, maintainability and AI-assisted developmentTech StackPython, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOpsWhat We're Looking ForStrong commercial Data Science experienceExperience building and deploying ML models into productionStrong understanding of predictive modelling, NLP and LLM architecturesCloud experience with AWS and/or AzureExperience with Python, SQL and modern ML frameworksStrong communication and stakeholder management skillsAbility to work collaboratively in agile engineering teamsDesirable ExperienceRisk modelling or compliance analyticsSupply chain or operational analyticsMLOps and CI/CD pipelinesData governance or regulatory environmentsWhy Apply?You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics.