Full Time- Graduate Development Program-AI & Analytics Associate-Nashville, TN or Cambridge, MA-2027

Philips•Nashville, TN

2d•Onsite

About The Position

Philips seeks motivated graduates for the Graduate Development Program (GDP) in AI & Data. The program accelerates talent through hands-on projects, mentorship, and structured learning on enterprise AI and data initiatives. Participants complete two ~1-year rotations in Services & Solutions Delivery and Commercial Operations, gaining experience in enterprise analytics, customer operations, digital transformation, and AI-driven solutions. Ideal for curious, analytical, and collaborative candidates passionate about applying AI to healthcare.

Requirements

Currently pursuing a bachelor’s or master’s degree in Computer Science, Data Science, Engineering or AI/ML
Skilled in Python (or R) with knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
Familiarity with LLMs, NLP, or generative AI applications, especially ChatGPT and Copilot Studio.
Experience using modern BI tools (with a preference on experience w/Power BI) to communicate data-driven insights.
Strong analytical, problem-solving, and communication skills, with an eagerness to explore new AI techniques.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Nice To Haves

Experience with prompt engineering to improve AI/LLM performance is strongly preferred.

Responsibilities

Explore and apply Large Language Models (LLMs) such as ChatGPT to real-world business problems, including prompt engineering, fine-tuning, and evaluation of outputs.
Leverage Copilot Studio to build, test, and deploy AI-powered assistants that enhance productivity and insights.
Develop and optimize Python-based workflows for AI-driven data analysis, automation, and business intelligence.
Partner with business leaders to identify opportunities where generative AI and advanced analytics can accelerate marketing, sales, and operational impact.
Mine internal and external data sources to train, test, and validate AI models while ensuring data integrity, security, and compliance.
Translate complex AI and data findings into clear, actionable insights that inform decision-making.
Create compelling dashboards, visualizations, and prototypes (Power BI, or custom tools) to showcase AI-enhanced recommendations.