Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO) at Cigna Healthcare | Austin, TX, US | Rezi

Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO) at Cigna Healthcare

Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO)

Cigna Healthcare · Austin, TX, US

4 days ago

Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO)

Cigna Healthcare · Austin, TX, US

5 days ago
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About the Role

Evernorth Health Services, a division of The Cigna Group, is seeking emerging data science professionals for a foundational development opportunity. This internship allows participants to apply advanced analytics to healthcare challenges, contribute to strategically important work, learn from experts, and explore innovative solutions to improve health outcomes and business decisions. Intern-developed solutions have the potential to evolve into enterprise capabilities, be presented to senior leadership, and contribute to patented innovations. The program also focuses on relationship building through professional development, networking, and engagement with senior data science leaders and clinical stakeholders.

Responsibilities

  • Develop and evaluate predictive, machine learning, natural language processing, or generative AI solutions addressing complex healthcare and business challenges.
  • Translate large, varied datasets into insights that can improve member outcomes, experiences, and operational effectiveness.
  • Partner with data scientists, engineers, business leaders, and clinical stakeholders to define problems, test ideas, and turn research into scalable solutions.
  • Build clear, reproducible data pipelines, models, and visualizations using tools such as Python, R, SQL, Spark, or related technologies.
  • Communicate findings, tradeoffs, and recommendations to technical and nontechnical audiences, including opportunities to present work to senior leadership.
  • Apply a responsible, growth-oriented approach by seeking feedback, testing assumptions, documenting methods, and considering data quality, privacy, fairness, and model performance.

Requirements

  • 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.

Skills

  • Python
  • R
  • SQL
  • Spark
  • Machine Learning
  • Natural Language Processing
  • Generative AI
  • Data Pipelines
  • Data Visualization
  • Probability
  • Statistics
  • Data Preparation
  • Data Cleansing
  • Regression
  • Decision Trees
  • Clustering
  • Text Mining
  • Hive SQL
  • PySpark
  • Scala
  • Hadoop
  • HDFS
  • Tableau
  • Shiny
  • ggplot
  • Matplotlib

Location

  • Morris Plains, NJ
  • Austin, TX
  • St. Louis, MO

Work Type

  • Hybrid
  • Full-time
  • Summer Internship

Experience Level

  • Internship
  • 1 year of experience

Education Level

  • Master's degree
  • PhD

Salary/Compensations

  • $35.00-$43.00 per hour

Benefits

  • Professional development
  • Networking opportunities

About the Company

  • Evernorth Health Services is a division of The Cigna Group, dedicated to improving the health and vitality of those they serve through Cigna Healthcare and Evernorth Health Services.
  • The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible.

Equal Opportunity

  • Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
  • Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.