Data Scientist Intern – Master's Program

The Cigna Group

. Develop and evaluate predictive, machine learning, natural language processing, or generative AI solutions for complex healthcare and business challenges .

Posted 9/18/2026internshipMorris Plains • New Jersey • United StatesEntry Level💰 $35 - $43 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing predictive models and machine learning solutions within healthcare analytics, utilizing programming skills in Python or R, and employing statistical methods for data interpretation. Strong ability to communicate complex findings to diverse audiences and collaborate effectively across disciplines.

Highest-signal resume keywords

Machine Learning DevelopmentNatural Language ProcessingData Visualization with TableauSQL QueryingPredictive Health Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRProbability and StatisticsData PreparationRegression AnalysisDecision TreesClusteringText MiningMachine LearningData Cleansing

Soft Skills

CollaborationClear CommunicationAdaptabilityFeedback Incorporation

Tools & Technologies

TableauShinyGgplotMatplotlibSQLHive SQLSparkPySparkScalaHadoop

Industry Keywords

Healthcare AnalyticsResponsible AIPredictive Health ModelsConversational AITransformer-Based ClassificationOCRLarge Language Model Research

Tech Stack

Tools & technologies

HadoopHDFSPySparkPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Develop and evaluate predictive, machine learning, natural language processing, or generative AI solutions for complex healthcare and business challenges
Translate claims, member information, call transcripts, surveys, and web logs into actionable insights
Partner with data scientists, engineers, business leaders, and clinical stakeholders to define problems, test ideas, and turn research into scalable solutions
Build reproducible data pipelines, models, and visualizations
Communicate findings, tradeoffs, and recommendations to technical and nontechnical audiences
Present work to senior leadership when opportunities arise
Seek feedback, test assumptions, document methods, and consider data quality, privacy, fairness, and model performance
Contribute to healthcare analytics projects such as predictive health models, NLP platforms, conversational AI, transformer-based classification, OCR, and large language model research

Requirements

What you’ll need

Pursuing a master's degree or PhD in data science, statistics, applied mathematics, computer science, bioinformatics, computational linguistics, or another quantitative field
At least 1 year of hands-on data science or analytics experience gained through coursework, research, internships, or professional projects
Working knowledge of Python or R, probability and statistics, and data preparation, cleansing, and interpretation
Experience developing or evaluating analytical methods such as regression, decision trees, clustering, machine learning, text mining, or natural language processing
Ability to explain technical work clearly, collaborate across disciplines, and adapt based on feedback and new information
Must be authorized to work in the United States and not require current or future employment sponsorship
Experience querying relational or distributed datasets using SQL, Hive SQL, Spark, PySpark, Scala, Hadoop, or HDFS
Experience with visualization tools or libraries such as Tableau, Shiny, ggplot, or Matplotlib
Demonstrated interest in healthcare analytics, responsible AI, experimentation, or translating research into practical solutions
Home internet connection must use cable broadband or fiber optic service with speeds of at least 10Mbps download/5Mbps upload when working from home

Benefits

Comp & perks

Professional development opportunities
Networking opportunities
Direct engagement with senior data science leaders and clinical stakeholders
Opportunity to present work to senior leadership
Hybrid schedule: three days per week in the office and two days working remotely
Full-time summer internship schedule (40 hours per week)