Fall Co-op/AI Portfolio
Listed on 2026-07-24
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IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Scientist, Business Systems & Technology Analysis
Why GSK?
Uniting science, technology and talent to get ahead of diseases together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive.
We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included.
Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
The AI Capabilities & Enablement (AiCE) organization is responsible for building, scaling, and enabling the adoption of AI-powered products, analytics, and intelligent decision-making capabilities across the business. AiCE partners closely with field, marketing, data science, technology, and commercial teams to translate AI strategy into practical solutions that improve productivity, accelerate insights, and drive business impact. Through a combination of AI product development, enablement, change management, and data-driven innovation, the team helps empower employees with the tools and capabilities needed to make smarter decisions and better serve customers and patients.
Our mission is to accelerate transformation by embedding AI into everyday workflows and delivering measurable value at scale.
The AI Portfolio Co-op will support the AI Capabilities & Enablement (AiCE) team in managing and advancing a portfolio of AI, analytics, and digital transformation initiatives that enhance business performance and user experience across field, marketing, and commercial functions. This role provides a unique opportunity to gain exposure to AI product strategy, portfolio management, capability enablement, and organizational transformation within a fast-paced healthcare environment.
The co-op will assist with portfolio planning, project tracking, and governance activities across multiple AI and GenAI initiatives, helping ensure priorities, milestones, dependencies, risks, and business outcomes are effectively documented and communicated. They will support the development of executive-ready materials, roadmaps, status updates, and reporting artifacts that provide visibility into portfolio health and strategic progress.
Working cross-functionally with product managers, data scientists, technology teams, marketing partners, field enablement leaders, and business stakeholders, the co-op will help coordinate project activities, gather requirements, document business needs, and support launch readiness efforts for emerging AI capabilities. They will also contribute to change management and adoption initiatives by helping develop communications, training materials, and stakeholder engagement plans that drive awareness and utilization of AI solutions.
Additionally, the co-op will assist in analyzing portfolio performance metrics, user feedback, and adoption trends to identify opportunities for optimization, continuous improvement, and future investment. By combining analytical thinking, organization, and strategic problem-solving, the AI Portfolio Co-op will play an important role in helping AiCE scale AI-powered capabilities that enable smarter decisions, improved productivity, and greater business impact.
Minimum Qualifications- Pursuing a Bachelor's or Master's degree in AI, Marketing, Business, Analytics, Information Systems, Data Science, Communications, or a related field.
- Strong written…
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