About Blue Cross Blue Cross and Blue Shield of Minnesota is one of the most recognized and trusted health care brands in the world with 2.5 million members. We're committed to reinventing health care to improve health for our members and the community. We hope you'll join us. Blue Cross and Blue Shield of Minnesota is seeking a Data Science intern to join us for the Summer 2024. This internship is for a student who are currently enrolled in a Master's or PhD program in data science, statistics, computer science, mathematics, or engineering. As a Data Science intern, you will have the opportunity to work on real-world projects that have direct impact on our business and customers. You will analyze large datasets, develop and use statistical methods, design methodologies, and create insightful reports and dashboards. You will also use AWS cloud computing services to store, process, and deploy your data science solutions. You will learn from industry experts and receive mentorship and feedback from your peers and managers. You will also enjoy a flexible and supportive work environment that fosters your personal and professional growth. How Is This Role Important to Our Work? Perform data cleaning, preprocessing, and exploration on various sources of health-related data. Apply appropriate statistical techniques and machine learning algorithms to answer business questions and generate insights. Design methodologies and validate them by writing code in Python or R. Use AWS cloud computing services such as S3, EC2, Lambda, and SageMaker to store, process, and deploy data science solutions. Communicate findings and recommendations to stakeholders using clear and concise reports and visualizations. Collaborate with other data science interns and mentors to share knowledge and feedback. Support ongoing data science initiatives and projects as needed. Nice to Have: Experience or certification in AWS cloud computing Familiarity with SAS Excellent communication and presentation skills. Interest in health care and insurance domains. Required Skills and Experiences: Enrolled as a MS or PhD student (or recent grad) in a relevant field such as data science, statistics, computer science, mathematics, or engineering. Proficient in Python or R Familiarity with deep learning and natural language processing techniques and applications. Familiar with common data science tools and frameworks such as pandas, scikit-learn, Pytorch, Plotly, etc. Experience with SQL and relational databases. Strong analytical skills with the ability to collect, organize, analyze large datasets with attention to detail. Make A Difference Blue Cross is an Equal Opportunity and Affirmative Action employer that values diversity. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, color, creed, religion, sex, national origin, genetic information, marital status, status with regard to public assistance, disability, age, veteran status, sexual orientation, gender identity, gender expression, or any other legally protected characteristic. Reasonable Accommodation for Job Seekers with a Disability: If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to talent.acquisition@bluecrossmn.com. All roles require a high school diploma (or equivalency) and legal authorization to work in the U.S. Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association. Blue Cross and Blue Shield of Minnesota is an Equal Opportunity and Affirmative Action employer that values diversity. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on race, color, creed, religion, sex, national origin, genetic infor ation, marital status, status with regard to public assistance, disability, age, veteran status, sexual orientation, gender identity, or any other legally protected characteristic.