Jobs / United States / Cigna Health And Life Insurance Company
Data Scientist Intern- Master's Program (Hybrid: NJ, TX, or MO)
Cigna Health And Life Insurance Company · 🇺🇸 3 Locations
Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship — see below before you invest time.
- Employer is on a government sponsor recordThe US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Cigna Health And Life Insurance Company paid sponsored hires in similar roles2 certified filings for “Data Science Advisor” (Data Scientists) in CT: $123k–$140k, median $132k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Existing work authorization requiredFrom the posting’s own wording.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Cigna Health And Life Insurance Company
The US Department of Labor certified 14 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 30 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Cigna Health And Life Insurance Company →
About the role
Make an Impact with Data Science Bring your curiosity, technical skills, and bold ideas to Evernorth Health Services, a division of The Cigna Group. Our Data Science Center of Expertise internship is a foundational development opportunity for emerging data science professionals ready to apply advanced analytics to meaningful healthcare challenges. You will contribute to strategically important work, learn alongside compassionate experts, and explore how innovative solutions can improve health outcomes and business decisions. This is more than a summer project. Intern-developed solutions have evolved into enterprise capabilities, been presented to senior leadership, and, in several cases, contributed to patented innovations. You will also build relationships through professional development, networking, and direct engagement with senior data science leaders and clinical stakeholders who use analytics to shape strategic and operational decisions. Responsibilities • Develop and evaluate predictive, machine learning, natural language processing, or generative AI solutions that address complex healthcare and business challenges. • Translate large, varied datasets, including claims, member information, call transcripts, surveys, and web logs, 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. Past projects have included predictive models to improve member health outcomes; real-time NLP platforms that categorize member feedback; conversational AI solutions; transformer-based models for call topic classification; and research using optical character recognition and large language models to extract clinical entities from physician fax documents. Required Qualifications • 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. Preferred Qualifications • 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. Additional Information • Location: Interns are expected to work a hybrid schedule, spending three days per week in our Morris Plains, NJ, Austin, TX, or St. Louis, MO office and two days working remotely. • Compensation: Hourly pay ranges from $35.00-$43.00 , based on degree program, and year of stud