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The R&D Senior Product Support Engineer at GSK will provide tech support for R&D Digital & Tech Development applications, manage support teams, oversee service delivery, maintain product backlogs, and develop innovative strategies to enhance operational efficiency.

The Senior Supply Chain Finance Analyst will support strategic projects related to Trading Partner Finance, manage process changes, conduct data analysis using SAP, and communicate project status to the Project Lead while ensuring process improvements.

Lead a team of NLP data engineers to deliver data and knowledge products that advance GSK R&D, architect data delivery and operational strategy, partner with AIML and knowledge graph platform team to build NLP pipelines, collaborate with other data engineering leads on new data flows and engagement models, apply graph-based data modeling techniques.

The Senior Data Scientist will lead the design and automation of AI/ML applications and platforms, focusing on model deployment, data engineering, and performance monitoring. Responsibilities include developing scalable infrastructure, automating workflows, and collaborating with cross-functional teams to drive strategic AI initiatives while ensuring data compliance and integrity.

As an R&D Finance Data Analyst/Steward, you'll maintain and improve master data quality, document data standards, assess business data requirements, and establish strong stakeholder relationships. You'll also lead data improvement initiatives and represent R&D Finance in data governance forums.

The R&D Data Analyst/Manager is responsible for managing R&D Finance Data, establishing data definitions and standards, and ensuring consistency across systems. The role involves collaborating with Master Data teams, supporting reporting requirements, and resolving data-related issues. The candidate will provide subject matter expertise, drive adherence to data standards, and engage with users for successful implementation.

The Principal Cloud Solutions Architect will design cloud-based solutions architecture, oversee data analytics products, and collaborate with cross-functional teams to translate product requirements into technical implementations while adhering to security and governance standards.