Gain experience across key AI capabilities: AI & Machine Learning, Generative AI, Engineering & Delivery, Responsible & Governed AI
Explore and prepare data; engineer features and build baseline models
Develop and evaluate machine learning models (e.g., forecasting, classification, NLP, anomaly detection)
Prototype and test GenAI solutions
Build reproducible code and pipelines using Python, SQL, and modern tools
Collaborate with engineering teams to deploy solutions into production environments
Contribute to model documentation, validation, and governance practices

Graduating in December 2026 or May 2027 with a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
Basic knowledge of programming languages and concepts (e.g. Java, C, SAS, SPSS, R, or Python)
Familiarity with machine learning frameworks such as PyTorch and scikit-learn
Experience with common database querying languages such as SQL
Understanding of version control (Git) and collaborative coding practices
Exposure to cloud platforms (Azure, AWS, or GCP) and tools like Databricks
Awareness of Generative AI concepts (e.g., prompt engineering, RAG, LLM fine-tuning)
Familiarity with data visualization tools (Power BI, Tableau, QlikView)

health, dental, mental health, vision, short
and long-term disability insurance coverage
adoption/surrogacy and wellness benefits
employee/family assistance plans
various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
financial education and counseling resources
generous paid time off program including holidays, vacation, personal, and sick days

GRO Program – AI

Key skills