Summer 2027 Predictive Modeling & Data Science Graduate Intern

Location: PA, Working at Home - Pennsylvania; MD, Working at Home - Maryland; WA, Working at Home - Washington; NC, Working at Home - N Carolina; LA, Working at Home - Louisiana; KY, Working at Home - Kentucky; KS, Working at Home - Kansas; IN, Working at Home - Indiana; IL, Working at Home - Illinois; GA, Working at Home - Georgia; IA, Working at Home - Iowa; FL, Working at Home - Florida; CO, Working at Home - Colorado; CA, Working at Home - California; DE, Working at Home - Delaware; CT, Working at Home - Conneticut; AR, Working at Home - Arkansas; AZ, Working at Home - Arizona; AL, Working at Home - Alabama; AK, Working at Home - Alaska; NV, Working at Home - Nevada; VT, Working at Home - Vermont; TN, Working at Home -Tennessee; ID, Working at Home - Idaho; OK, Working at Home - Oklahoma; HI, Working at Home - Hawaii; MS, Working at Home - Mississippi; UT, Working at Home - Utah; NH, Working at Home - New Hampshire; NM, Working at Home - New Mexico; WY, Working at Home - Wyoming; ND, Working at Home - North Dakota; SD, Working at Home-South Dakota; RI, Working at Home - Rhode Island; WV, Working at Home - W Virginia; MO, Working at Home - Montana; TX, Working at Home - Texas; DC, Working at Home - Dist of Col; OH, Working at Home - Ohio; NJ, Working at Home - New Jersey; OR, Working at Home - Oregon; SC, Working at Home-South Carolina; MO, Working at Home - Missouri; VA, Working at Home - Virginia; MA, Working at Home -Massachusetts; NE, Working at Home - Nebraska; MN, Working at Home - Minnesota; MI, Working at Home - Michigan; WI, Working at Home - Wisconsin; NY, Working at Home - New York; ME, Working at Home - Maine

Company :Highmark Health

Job Description

Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.

The Summer 2027 Predictive Modeling & Data Science Graduate Internship provides graduate students with an opportunity to gain hands-on experience developing advanced analytics and data science solutions that support meaningful business decisions, processes, and strategic initiatives. This internship is designed for students who are passionate about using data, statistics, and machine learning to solve complex problems and translate analytical findings into actionable business insights.

As a member of the advanced analytics team, the intern will work alongside experienced data scientists, analysts, and business partners to help design, develop, and evaluate analytical solutions that address real-world business challenges. Participants will gain practical experience applying statistical and machine learning methodologies, developing predictive models, analyzing complex datasets, and visualizing results to support data-driven decision-making.

The program provides exposure to the end-to-end analytics lifecycle, from understanding a business question and exploring available data through model development, evaluation, visualization, and delivery of findings. Interns will also have opportunities to explore new data sources, analytical tools, and emerging techniques while contributing to next-generation analytics initiatives.

Typical responsibilities include conducting exploratory and statistical analysis, supporting predictive model development, preparing and transforming data, evaluating model results, creating data visualizations, researching new analytical approaches, and communicating findings and recommendations to technical and business audiences. Through mentorship, cross-functional collaboration, and project-based learning, participants will strengthen their technical, analytical, problem-solving, and storytelling skills while building a strong foundation for a career in data science and advanced analytics.

SUMMARY OF JOB RESPONSIBILITIES

This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals.  To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.

REQUIRED QUALIFICATIONS

Bachelor’s degree.

Pursuance of a graduate degree full or part-time in an accredited college or university.

PREFERRED QUALIFICATIONS

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.

ESSENTIAL JOB FUNCTIONS

1. Communicate effectively. This position displays effective communication skills while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.

2. Under supervision, provide professional services as appropriate to the day-to-day operating objectives of the area.  Receives guidanc