The Cigna Group is seeking talented students to join the Analytics Leadership Development Program (ALDP) as summer interns to tackle healthcare's most complex challenges through data, cultivating future leaders in analytics and data science.
Requirements
- Demonstrated experience applying analytical methods, including:
- Writing code in languages such as Python, R, or SAS
- Developing models using techniques such as regression, decision trees, or machine learning algorithms (e.g., random forests, gradient boosting, neural networks)
- Evaluating outcomes using statistical techniques (e.g., matched case-control studies, A/B testing, causal inference)
- Familiarity with AI concepts and tools (e.g., natural language processing, deep learning frameworks like TensorFlow or PyTorch, large language models)
- Experience working with relational databases and writing SQL queries
Responsibilities
- Build a predictive model to identify high-need customers for our clinical programs
- Use machine learning techniques to create population clusters that allow us to communicate with customers in personalized ways
- Analyze drivers of medical spend using statistical techniques and recommend actions we could take to mitigate cost increases
- Measure the impact of a business initiative on customers and clients via a matched case-control study
- Model the cost impact of changes in provider contracts on medical spend
Other
- Currently pursuing a Master’s degree in a quantitative field, such as data science, statistics, business analytics, mathematics, or related major.
- Demonstrated strategic thinking and problem-solving skills
- Strong oral and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical audiences
- Motivation to apply quantitative reasoning to real-world business and healthcare challenges
- Interest in leadership and collaboration, demonstrated through academic, professional, or extracurricular experiences
