Lead Data Scientist MSAT

Job description

Business IntroductionWe manufacture and supply reliable, high-quality medicines and vaccines to meet patients’ needs and drive our performance.Our network of 37 medicines and vaccines manufacturing sites delivered 1.7 billion packs of medicines and 409 million vaccine doses in 2024 to help make a positive impact on the health of millions of people. Our supply chain is not just core to our operations; it’s vital to bringing our innovations to patients as quickly, efficiently and effectively as possible. Technology is transforming how we manufacture medicines and vaccines, enabling us to increase the speed, quality and scale of product supply.We need the very best minds and capability to help us on our journey to make more complex products, harnessing the power of smart manufacturing technologies including robotics, digital solutions and artificial intelligence to deliver for patients.Position Summary • Work with global multidisciplinary teams to accelerate data-driven process understanding and problem solving in Global Supply Chain by driving business results with data-based insights. • Focus on driving projects and improvement activities through technical consulting and value delivery leadership for new product introduction (e.g. regulatory submissions, validation activities) and established products (e.g. root cause analysis investigations, batch quality assessments) aligned to the requirements of Product Lifecycle Management. • As a Subject Matter Expert in Data Science, drive the data-driven capability of GSC across all sites and functions. Identify and explore opportunities for product and process optimization and test the effectiveness of different courses of action. Advise executives and product owners on the implications of the data for products, processes, and decisions. • Elaborate and communicate sophisticated data driven concepts, displaying information visually and making the patterns and insights revealed in data clear and compelling. Communicate concepts and results in language that is understandable by stakeholders, and demonstrate storytelling with data, both verbally and visually. • Manage and influence internal and external global networks to adopt rigorous and sound data science approaches and standardise methodologies globally. • Develop the data science capability of the team to ensure we best serve the needs of the patient. • Lead key objectives within the team as a matrix manager. ResponsibilitiesThis role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: • Act as an essential partner within cross-functional global teams by providing data science expertise to design, develop, and optimize business-impacting data solutions. Use these alongside other scientific understanding to drive outcomes aligned to GSK values. This especially includes contribution to the resolution of deviations and improvement projects. • Actively participate in all stages of model design and development (from data collection, data quality control, model building, model validation, testing, and model monitoring & lifecycle strategy) adhering to business leadership standards. • Design, build, and maintain highly complex quantitative and analytical models to inform/drive strategic direction and/or improve business performance • Lead the data analysis, and exploration, reporting and communication of results and conclusions in the form of technical documents and presentations in accordance with regulatory and internal guidance. Take full ownership and accountability of all data science content. • Review the data science element of technical documents as a Subject Matter Expert. • Influence GSK internal policies, guidelines and SOPs to ensure appropriate data evaluation. • Actively participate with the wider data science network (MSAT, Quality, TRD and R&D, as well as with the GPS community) to develop, align and standardize data evaluation methodologies and conventions to help ensure that best practises are incorporated into local ways of working. • Upskill the organisation through coaching, mentoring, and training of non-experts and junior statisticians and data scientists as required on the appropriate application of data science, statistics, and data evaluation tools for their business processes. Ensure full integration of data science and statistics across functions into everyday work as appropriate. Ensure data science and statistics concepts are routinely being applied within global MSAT. Focus on development of associates and building high performing team that has large positive impact on the organisation. • Manage external and internal collaborations with statistical and data science thought leaders and groups in other functions and divisions. Represent GSK on internal and external boards. Influence external environment (e.g. regulators) by means of presenting at key conferences and publishing. Personal interaction and influencing of key regulators, FDA or other regulatory agencies in the context of submission of dossiers, variations etc. • Monitor and assess new and emerging industry trends and evolving regulatory expectations for data science technologies (such as Machine/Deep Learning and Artificial Intelligence). Standardize and refine methodologies and tools to maximize the competitive advantage. Why You?Basic QualificationWe are seeking professionals with the following required skills and qualifications to help us achieve our goals • Preferred Level of Education: Masters degree or PhD in data science,