Summer 2027 Predictive Modeling & Data Science Graduate Intern

Highmark Health•PA, Working at Home - Pennsylvania, NV

About The Position

The Summer 2027 Predictive Modeling & Data Science Graduate Internship provides graduate students with hands-on experience developing advanced analytics and data science solutions to support business decisions, processes, and strategic initiatives. Interns work with data scientists, analysts, and business partners to design, develop, and evaluate analytical solutions for real-world business challenges. They apply statistical and machine learning methods, develop predictive models, analyze complex datasets, and visualize results to support data-driven decision-making. The internship offers exposure to the end-to-end analytics lifecycle, from understanding business questions and exploring data through model development, evaluation, visualization, and communicating findings. Interns may explore new data sources, analytical tools, and emerging techniques while contributing to next-generation analytics initiatives. Through mentorship, cross-functional collaboration, and project-based learning, they develop technical, analytical, problem-solving, and communication skills. The program provides practical experience and training in the business line, exposure to career opportunities in the business and related areas, and preparation for future positions. Applicants must be independently authorized to work in the United States; visa sponsorship is not offered for this role. Employees are expected to comply with company ethical, legal, privacy, information security, and business conduct requirements.

Requirements

Bachelor’s degree.
Pursuing a graduate degree, full-time or part-time, at an accredited college or university.
Must be independently authorized to work in the United States; visa sponsorship is not offered.

Nice To Haves

Pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or another related quantitative discipline.
Coursework, research, or project experience involving predictive modeling, machine learning, statistical analysis, or advanced analytics.
Experience working with large or complex datasets through academic research, internships, professional experience, or graduate coursework.
Familiarity with programming and analytical tools commonly used for data science and statistical modeling.
Experience with data preparation, exploratory data analysis, feature engineering, and model evaluation.
Experience developing data visualizations and presenting analytical findings to diverse audiences.
Knowledge of machine learning concepts, statistical modeling techniques, and predictive analytics methodologies.
Ability to translate business questions into structured analytical approaches and actionable recommendations.
Interest in exploring emerging data science technologies, analytical techniques, and new sources of data.
Demonstrated initiative, creativity, and curiosity when approaching complex analytical problems.

Responsibilities

Conduct exploratory and statistical analysis.
Support predictive model development.
Prepare and transform data.
Evaluate model results.
Create data visualizations.
Research new analytical approaches.
Communicate findings and recommendations to technical and business audiences.
Under supervision, provide professional services in support of day-to-day operating objectives, receiving guidance, training, and mentoring from senior personnel.
Participate in projects and programs that develop professional skills and expertise appropriate to organizational needs.
Participate in planning and implementing unit projects and initiatives within the intern’s area of expertise and ability.
Conduct research and reporting, including recommendations or alternative proposals for action, as requested by management.
Undertake related studies or enrichment programs appropriate to the operating unit’s objectives.
Perform miscellaneous job-related duties as assigned.