The Cigna Group's Technology Development Program - AI Engineering Track Summer Internship

What you'd do

• Meaningful Work: Contribute within the Artificial Intelligence track by building impactful technical solutions that drive innovation across The Cigna Group while strengthening your real-world skills.
• Learn by Collaborating: Learn by doing alongside peers, mentors, and cross-functional partners through hands-on projects, recruiting support, innovation efforts, community initiatives, and onboarding experiences.
• Structured Learning: Grow through a blend of core and track-specific curriculum, including technical training, leadership development, and business exposure to support your development as a well-rounded technologist.
• Community & Connection: Build strong relationships across the organization through networking, mentorship, cross-functional collaboration, and informal peer engagement that support both personal and professional growth.

What they want

• Must be currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a strong emphasis on machine learning methodologies and applications.
• Foundational understanding of machine learning concepts, including supervised and unsupervised learning techniques, with experience applying them through coursework, projects, research, or prior experience.
• Working knowledge of Python and exposure to machine learning or generative AI libraries and frameworks such as Scikit-Learn, TensorFlow, Keras, PyTorch, Hugging Face, or similar tools.
• Experience in data preprocessing, feature engineering, and data visualization using tools such as Pandas, NumPy, and Matplotlib to prepare data sets for model training.
• Exposure to model evaluation, prompt design, retrieval-augmented generation, large language models, or responsible AI practices through coursework, projects, research, or prior experience is preferred.
• Familiarity with big data technologies and platforms such as Apache Spark or Hadoop is a plus.
• Excellent analytical and problem-solving abilities, with the capacity to translate complex data into actionable insights through machine learning applications.
• Strong communication skills to convey technical concepts and findings to nontechnical audiences and foster collaboration across teams.
• A proactive attitude toward continuous learning and staying current on machine learning and artificial intelligence technologies.
• A GPA of 3.3 or higher is preferred.

About Cigna

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients.