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Internship Cigna Data Scientist Jobs in Silver Spring, MD

Data Scientist, Junior

Mclean, VA · On-site

$62K - $141K/yr

Data Scientist, Junior The Opportunity: Are you excited at the prospect of unlocking the secrets ... internship environments * Experience using R, Perl, Python, SAS, or SPSS for data analysis

New

Associate Data Scientist

Arlington, VA · On-site +1

$67K - $68K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... internships, or research. * Experience with Python, SQL, statistical analysis, and databases.

Associate Data Scientist

Arlington, VA · On-site

$67K - $68K/yr

About this role: We are seeking a talented Associate Data Scientist to join the Marketing ... internships, or research. * Experience with Python, SQL, statistical analysis, and databases.

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas ...

Showing results 21-40

Internship Cigna Data Scientist information

See Silver Spring, MD salary details

$47.6K

$170.6K

$251.7K

How much do internship cigna data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for internship cigna data scientist in Silver Spring, MD is $170,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,000.00 and $175,700.00 per year, depending on experience, location, and employer.

What is the difference between Internship Cigna Data Scientist vs Data Analyst?

AspectInternship Cigna Data ScientistData Analyst
Required CredentialsTypically pursuing or holding a degree in Data Science, Statistics, or related fieldsOften holds a degree in Data Analysis, Statistics, or related fields
Work EnvironmentInternship setting within healthcare insurance company, focusing on data modeling and predictive analyticsBusiness or healthcare organizations analyzing data to inform decisions
Employer & Industry UsageUsed by healthcare insurers like Cigna for data-driven decision makingUsed across various industries including healthcare, finance, and marketing

The Internship Cigna Data Scientist role is an entry-level position focused on developing data modeling and analytics skills within a healthcare insurance environment. In contrast, a Data Analyst typically performs data interpretation and reporting across multiple industries. While both roles require similar educational backgrounds, the Data Scientist internship emphasizes predictive modeling and machine learning, whereas Data Analysts focus more on data visualization and descriptive analytics.

How to get an internship as an Internship Cigna Data Scientist?

To secure an internship as a Cigna Data Scientist, candidates should have a strong background in data analysis, programming skills in languages like Python or R, and knowledge of machine learning techniques. Applying through the company's careers portal, preparing a tailored resume highlighting relevant coursework and projects, and demonstrating analytical skills during interviews are essential steps.

What are popular job titles related to Internship Cigna Data Scientist jobs in Silver Spring, MD?

For Internship Cigna Data Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Internship Cigna Data Scientist jobs in Silver Spring, MD look for?

The top searched job categories for Internship Cigna Data Scientist jobs in Silver Spring, MD are:

Full-time

Posted 3 days ago

New


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

65th of 152 rated financial services


Job description


Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.
This role supports risk and compliance-focused analytics, including the evaluation of models, policies, and business practices for potential fair lending and consumer compliance risk. The Senior Data Scientist will conduct descriptive, predictive, and prescriptive analyses to assess outcomes, test assumptions, and identify potential bias, while partnering with stakeholders to support responsible and compliant business decisions.
Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.
Responsibilities
  • Evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, interpret, and document results
  • Review input data, assumptions, and outcomes of models and analytical frameworks to assess potential risk and fairness considerations. Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members, business partners, compliance, legal, and subject matter experts
  • Lead small projects and initiatives
  • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Qualifications
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Model Development
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)

Desired Qualifications
  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
  • Experience supporting compliance, risk, or fair lending analytics in a financial services environment
  • Familiarity with fair lending or consumer protection laws (e.g., ECOA, FHA) and evaluating models or policies for potential bias
  • Experience assessing or validating models, including machine learning models, for fairness or governance considerations

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180
  • 5510 Heritage Oaks Drive, Pensacola, FL 32526
  • 141 Security Drive, Winchester, VA 22602

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

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About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933