Data Scientist

Full Stack Data Scientist / ML Engineer Freelance - contract opportunityWe are looking for a Full Stack Data Scientist / ML Engineer to support a global Medical Device business on their AI journey. You will play a pivotal role in advancing our Advanced Analytics capabilities, acting as both a technical leader and a trusted partner to business stakeholders across the organisation.This is a high-impact position for someone who takes genuine ownership, leads by example, and is passionate about embedding data science best practices at scale.Responsibitlies• Partner with stakeholders across the organisation to understand business objectives and co-design data-driven solutions• Work closely with Analytics Product Owners and the Cloud/Engineering team to deliver Data Science and ML workstreams on time, within budget, and to quality standards• Lead and facilitate ideation and scoping sessions with business stakeholders to define the data needed to address specific challenges• Champion best practices, standards, and methodologies across your Advanced Analytics capability area, ensuring consistently high-quality data science output• Articulate the value of your domain (e.g., AI/ML) to the broader organisation, shaping decision-making and becoming a go-to advisor for key business stakeholders• Evaluate and recommend new technologies and ML techniques that improve efficiency and accelerate delivery• Foster a culture of continuous learning, knowledge sharing, and professional growth within the team• Own the end-to-end documentation, demos, and presentations required to communicate and validate your solutionsRequirements: • Azure AI Services — AI Foundry, OpenAI, AI Search, Document Intelligence• Container Apps, Container App Environments, and Container Registries• Application Gateway, Key Vault, Managed Identities• Storage Accounts and Virtual Networks• Python — production-grade code, with strong experience in LangChain, Pydantic, and FastAPI• ETL development, including parallel computing approaches• Generative AI — Prompt Engineering, Retrieval-Augmented Generation (RAG), and GenAI application architecture• Terraform (Infrastructure as Code)• Docker• Code versioning via Azure Repos• CI/CD pipeline development using Azure Pipelines• Linting, unit testing, and adherence to software development best practices• Industry experience within a highly regulated environment, MedTech, Life Sciences, FoodNice to Have• React development experience, including TypeScript, REST/GraphQL, state management, UI/UX principles, HTML/CSS, and caching strategies