.ABOUT ASTRAZENECAJoin AstraZeneca, a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development, and commercialisation of prescription medicines for some of the world's most serious diseases. We are more than one of the world's leading pharmaceutical companies. We are dedicated to being a Great Place to Work, where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.ABOUT THE OPERATIONS IT TEAMOperations IT is a global IT capability supporting the Global Operations organisation. We business partner with Operations capability areas: Pharmaceutical Technology Development, Manufacturing & Global Engineering, Quality Control, Sustainability, Supply Chain, Logistics and Global External Sourcing and Procurement. We operate out of Operations hub sites including in the UK, Sweden, US, and China; and out of our Global Technology Centres in India and Mexico.Here our work has a direct impact on patients – transforming our ability to develop life-changing medicines. We empower the business to perform at its peak and lead a new way of working, combining cutting-edge science with leading digital technology platforms and data. All with a passion to impact lives through data, analytics, AI, machine learning and more.It's a dynamic and challenging environment to work in – but that's why we like it. There are countless opportunities to learn and grow, whether that's exploring new technologies in hackathons, or transforming the roles and work of colleagues, forever. This is your chance to be part of a team that has the backing to innovate, disrupt an industry and change lives.THIS IS WHAT YOU'LL DOWe are recruiting an AI Scientist to join our newly established Data, Analytics & AI group for Operations IT spanning various business areas such as Develop, Manufacture, Supply Chain, Quality and Procurement.As an AI Scientist, you will direct the application of sophisticated quantitative expertise in advanced mathematical disciplines to develop innovative data science solutions. You will work autonomously with limited direct supervision from senior team members and provide support to other AI Scientists promoting best practice across multiple domains, and/or stakeholder groups.Typical accountabilities include:1. Coordinate the implementation of novel modelling solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within defined project scope. This includes integrating complex data from multiple different sources and modalities including the application of specialized approaches in classification, regression, clustering, NLP, image analysis, graph theory and/or other techniques.2. Using domain-specific understanding, translate unstructured, complex business problems into the appropriate data problem, model and analytical solutions.3
