Predictive Modeling & Data Science Graduate Intern

Highmark Health

. Develop advanced analytics and data science solutions supporting business decisions, processes, and strategic initiatives .

Posted 10/27/2026part-timeRemote • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing advanced analytics and data science solutions, including predictive modeling, statistical analysis, and data visualization. Proficient in translating complex business questions into actionable insights while adhering to data security and compliance standards.

Highest-signal resume keywords

Predictive ModelingMachine LearningStatistical AnalysisData VisualizationData Preparation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodologiesMachine Learning MethodologiesPredictive AnalyticsExploratory Data AnalysisFeature EngineeringModel EvaluationData TransformationComplex Dataset AnalysisData-Driven Decision MakingAnalytical Approaches

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

Analytical ToolsData Science ToolsData Visualization Tools

Industry Keywords

HIPAA ComplianceData Security GuidelinesCode of Business Conduct

About the role

Key responsibilities & impact

Develop advanced analytics and data science solutions supporting business decisions, processes, and strategic initiatives
Apply statistical and machine learning methodologies
Develop predictive models and analyze complex datasets
Visualize results to support data-driven decision-making
Participate in the end-to-end analytics lifecycle from business-question understanding and data exploration through model development, evaluation, visualization, and delivery
Explore new data sources, analytical tools, and emerging techniques
Conduct exploratory and statistical analysis
Prepare and transform data
Evaluate model results
Research new analytical approaches
Communicate findings and recommendations to technical and business audiences
Participate in projects, programs, unit initiatives, research, and reporting under supervision
Provide recommendations or alternative proposals for action
Comply with HIPAA, data-security guidelines, company policies, applicable laws, and the Code of Business Conduct

Requirements

What you’ll need

Applicants must be authorized to work in the U.S. independently
Bachelor’s degree
Pursuance of a graduate degree full or part-time in an accredited college or university
Preferred: pursuing a graduate degree in Data Science, Statistics, Analytics, Mathematics, Computer Science, or another related quantitative discipline
Preferred: coursework, research, or project experience involving predictive modeling, machine learning, statistical analysis, or advanced analytics
Preferred: experience working with large or complex datasets through academic research, internships, professional experience, or graduate coursework
Preferred: familiarity with programming and analytical tools commonly used for data science and statistical modeling
Preferred: experience with data preparation, exploratory data analysis, feature engineering, and model evaluation
Preferred: experience developing data visualizations and presenting analytical findings to diverse audiences
Preferred: knowledge of machine learning concepts, statistical modeling techniques, and predictive analytics methodologies
Preferred: ability to translate business questions into structured analytical approaches and actionable recommendations
Preferred: interest in emerging data science technologies, analytical techniques, and new data sources

Benefits

Comp & perks

Hands-on training and experience in the business line
Exposure to career opportunities in the business line and related areas
Mentorship, guidance, and training from senior personnel
Project-based learning
Practical experience developing professional skills and expertise