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The intern will assist in monthly accounting closures, analyze accounting accounts, perform internal controls, support investment management, and aid in financial planning and standard cost calculation.

The Principal Data Engineer role involves leading the design, development, and implementation of high-quality software solutions while addressing complex technical challenges. The position requires translating business requirements into technical solutions, ensuring scalability and security, leading integration efforts, and providing mentorship to development teams.

The Principal Data Scientist will collaborate with stakeholders to create and optimize Marketing Mix models, develop new code, and present results, specifically focused on marketing analytics within the pharmaceutical industry.

The Data Scientist role involves collaborating with stakeholders to gather project requirements, developing and optimizing Marketing Mix models, and presenting results. The candidate should have extensive experience in data science, particularly in marketing analytics, and familiarity with the pharmaceutical industry is preferred.

The Commercial Trade Channel Head leads commercial strategies for trade and tender channels in Chile, Peru, and Ecuador, ensuring the achievement of net sales objectives. Responsibilities include coordinating with commercial managers, planning strategies, monitoring financial indicators, and ensuring operational efficiency across departments.

The Principal Product Manager for Supply Chain Execution at GSK is responsible for creating and executing product roadmaps, managing product backlogs, ensuring compliance with risk policies, and leading service management. This role involves collaboration with tech teams, process improvements using agile principles, and managing external staff while focusing on procurement business processes and data integration.

The Principal Product Designer will enhance ontologies and taxonomies to improve data interoperability in GSK's CMC organization. They will collaborate with stakeholders, manage operational oversight, ensure data quality, and support the development of a knowledge system for analytical workflows, promoting self-service interactions with data across the organization.