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Cognizant Data Science Jobs (NOW HIRING)

Cognizant Technology Solutions

Ignition Lead

Chicago, IL · On-site

$60.75 - $79.50/hr

Develop scalable Ignition modules and reusable components that enable secure data acquisition ... Qualifications * possess a bachelors degree or higher in engineering computer science information ...

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How much do cognizant data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for cognizant data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How do Data Scientists at Cognizant typically collaborate with cross-functional teams to deliver data-driven solutions?

At Cognizant, Data Scientists regularly work alongside business analysts, domain experts, engineers, and project managers to understand client requirements and translate them into actionable insights. Collaboration often involves participating in agile sprint meetings, sharing progress during stand-ups, and jointly developing models or dashboards with engineering teams. This cross-functional approach ensures that data science solutions are aligned with business objectives and are technically feasible, while fostering a culture of knowledge sharing and continuous improvement.

What is a Cognizant Data Science job?

A Cognizant Data Science job involves using statistical analysis, machine learning, and data engineering to solve business problems for clients of Cognizant, a global IT services company. Data scientists at Cognizant collect, clean, and analyze large datasets to provide actionable insights and build predictive models. They work with various industries, such as healthcare, finance, and retail, to help organizations make data-driven decisions. The role often requires strong programming skills, knowledge of data visualization tools, and experience with big data technologies.

What is the difference between Cognizant Data Science vs Cognizant Data Analyst?

AspectCognizant Data ScienceCognizant Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, reporting, basic analytics
CertificationsData Science certifications, SQL, PythonExcel, SQL, basic analytics certifications
Work EnvironmentDeveloping models, predictive analytics, researchData reporting, visualization, data management
Industry UsageTech, finance, healthcare, consultingRetail, marketing, operations

While Cognizant Data Science focuses on building predictive models and advanced analytics, Cognizant Data Analysts primarily handle data reporting and basic analysis. Both roles require familiarity with data tools, but Data Science positions demand stronger programming and statistical skills. Understanding these differences helps in choosing the right career path within Cognizant's data teams.

What are the key skills and qualifications needed to thrive as a Cognizant Data Scientist, and why are they important?

To thrive as a Cognizant Data Scientist, you need strong proficiency in statistics, machine learning, programming (Python/R), and a relevant degree in computer science, mathematics, or engineering. Familiarity with technical tools like TensorFlow, SQL, Hadoop, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Exceptional problem-solving, communication, and business acumen set top performers apart, enabling them to translate data insights into actionable strategies. These skills are crucial for delivering impactful data-driven solutions that drive business value and innovation for clients.
More about Cognizant Data Science jobs
What cities are hiring for Cognizant Data Science jobs? Cities with the most Cognizant Data Science job openings:
What states have the most Cognizant Data Science jobs? States with the most job openings for Cognizant Data Science jobs include:
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Cognizant Data Science jobs near you
Infographic showing various Cognizant Data Science job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 79% Full Time, 11% Part Time, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Principal Data Scientist (LLM/Agentic AI Experience)

Principal Data Scientist (LLM/Agentic AI Experience)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 5 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

59th of 148 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 AI, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Real Estate Lending (REL) Department. Understand business needs and identify opportunities for enhancing member experience and improving internal operations/efficiencies to meet business objectives through the use of cutting-edge AI/data science. Create descriptive, predictive, and prescriptive models, insights, and AI agents to drive impact across REL and NFCU. Regarded as an advanced professional in the AI/data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment.  Mentor lower level staff.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

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.

  • 6+ years of experience with requisite competencies
  • Complete knowledge and full understanding of specialization
  • Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization
  • AI/LLM and agent development experience (prompt engineering, RAG architectures, vector databases, embeddings, AI guardrails, LLM evaluations, fine-tuning fundamentals)
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python/Pyspark, Hadoop, SAS, AWS, Github, APIs
  • Databricks, Azure Environment (AI Foundry), Copilot Studio, Power BI
  • Technical writing
  • Model development and lifecycle execution
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Advanced knowledge of procedures, instructions and validation techniques
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Independent Judgment
  • Problem Solving (Identifies the constraints and risks)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications 

  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

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
  • Design, develop, and evaluate large and complex predictive models, advanced algorithms, and LLM-driven AI agents
  • Test hypotheses/models, analyze, and interpret results
  • Develop actionable insights and recommendations
  • Develop and code complex software programs, algorithms, and automated processes
  • Use evaluation, judgment, and interpretation to select right course of action
  • Work on problems of diverse scopes where analysis of information requires evaluation of identifiable factors
  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
  • Transform data into charts, tables, or format that aids effective decision making
  • Utilize effective written and verbal communication to document analyses and present findings and analyses to a diverse audience of stakeholders
  • Develop and maintain strong working relationships with team members, subject matter experts, and leaders
  • Lead moderate to large projects and initiatives
  • Model best practices and ethical AI
  • Works with senior management on complex issues
  • Assist with the development and enhancement practices, procedures, and instructions
  • Serve as technical resource for other team members
  • Mentor lower levels

What Navy Federal Credit Union employees say

Pay

Benefits

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Navy Federal Credit Union logo

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

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