Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. With around 10,000 colleagues, we provide our products and services in almost 100 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Group revenues in 2022 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). Job Summary If you are looking to join a small, driven, and growing team where you can leverage your data science/engineering experience to build highly impactful digital solutions that impacts the lives of our patients and healthcare providers, then this is the position for you. You will be the Senior Data Scientist within the team. You will be responsible for working within project teams and ensuring the solution architecture creates delightful experience for internal and external stakeholders. Key Duties and Responsibilities • Build, validate, test AI-ML and deploy models for medical enabled applications. Support proof of concept (POC) and scalability to target population data sets. • Familiarity with data annotation, associated tools and preparing data sets for large population studies. Working with clinical teams for scoping data collection. • Take AI-ML models through the AI regulatory pathway including AI system requirements, AI risk management and adherence to the MLOps life cycle. • Adherence to machine learning best practices, knowledgeable in ML performance metrics and statistics. • Support Generative AI applications covering Transformers, GANs and Stable Diffusion. Develop algorithms from scratch or utilize existing platforms e.g. AWS Bedrock. Understand the pros and cons of using Generative AI in a regulated domain. • Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization • Be part of a high-performing team developing and implementing AI algorithms to help address solve complex problems and create unique solutions in healthcare. • Build awareness, increase knowledge, and drive adoption of AI-ML technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers) • Strong engineering fundamentals in software design, version control, continuous integration and delivery, testing, containers, and orchestration, monitoring and logging for enterprise-grade machine learning platforms in real world environments. • Ability to effectively communicate, influence and drive consensus between the business, technology teams, and executive leadership in an organization with multiple lines of business. • Responsible for working in an Agile environment and evaluating pre-project ideas in terms of technical complexity and solution architecture. Participates in high-level estimation. About You • Bachelor’s degree in computer science, AI, Data Science, Software or Computer Engineering, Computational Statistics, Mathematics, or a closely related discipline. Master’s or above is highly preferred. • Experience working in a regulated industry, or the medical device space is highly preferred. • 5 years of experience as a data scientist (AI-ML). Understands 70% of a task is in data preparation. • Demonstrable experience in using cloud-based platform including AWS and / or Databricks. Use of Terraform to build cloud-based infrastructure is also desirable. • Strong in both theoretical and applied AI-ML. Comfortable with statistics, traditional ML methods, deep learning, and computer vision. Experience in applying unsupervised ML, classification, object detection, semantic segmentation, and sequence prediction algorithms. Data types can include electronic medical records, text, images, and videos. • Relish the chance to learn and work on natural language programming or Generative AI applications. • Good knowledge of MLOPs life cycle including data preparation, model build, validate, test, deploy and monitor. • Demonstrable expertise using scripting such as Python. Working Conditions This position will be mainly remote; however, we will expect our successful candidate to travel for team meetings to either our Paddington or Deeside site (approx. once per month). Travel Position may involve travel up to 10% of the time, mostly within UK/US but overseas travel is expected. Most trips will include overnight travel.