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Internship Conservation Data Science Jobs in Virginia

KBR

Data Engineer with Security Clearance

Chantilly, VA · On-site

$150K - $181K/yr

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

IBM

Federal Data Scientist Intern 2027

Herndon, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

For many, it started with an internship. As an IBM intern, you won't just gain experience - you'll ... Receive mentorship from diverse professionals in science engineering and consulting applying ...

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All JobsConservation Data Science JobsInternship Conservation Data Science JobsInternship Conservation Data Science Jobs in Virginia

Internship Conservation Data Science information

What are the key skills and qualifications needed to thrive as an internship in conservation data science?

To thrive as an Internship Conservation Data Science, you need a solid grounding in data analysis, ecological principles, and statistics, typically supported by coursework or experience in environmental science or related fields. Familiarity with data analysis tools such as R or Python, GIS software, and data management systems is commonly required. Attention to detail, problem-solving abilities, and effective communication help interns collaborate with diverse teams and convey scientific findings. These skills enable interns to support evidence-based conservation decisions and contribute valuable insights to ecological projects.

What is the difference between Internship Conservation Data Science vs Conservation Data Analyst?

AspectInternship Conservation Data ScienceConservation Data Analyst
CredentialsTypically pursuing or recent graduate, no formal certification requiredBachelor's or master's in environmental science, data science, or related fields
Work EnvironmentInternship setting, often part-time or temporary, in conservation organizations or research projectsFull-time role in NGOs, government agencies, or research institutions
ResponsibilitiesAssisting with data collection, basic analysis, and learning conservation data toolsAnalyzing conservation datasets, generating reports, supporting decision-making

Internship Conservation Data Science roles are entry-level, focused on learning and supporting data tasks, while Conservation Data Analysts are more experienced, responsible for in-depth analysis and reporting. Both roles are vital in conservation efforts but differ mainly in experience level and scope of responsibilities.

What is an internship in conservation data science?

An Internship in Conservation Data Science is a temporary position that provides students or recent graduates with practical experience in using data analysis and scientific methods to support conservation efforts. Interns typically assist with collecting, processing, and analyzing ecological or environmental data to help solve real-world conservation challenges. This role often involves using statistical software, geographic information systems (GIS), and programming languages like R or Python. The experience helps interns develop valuable skills for careers in conservation, environmental science, or data analytics.

What types of projects do conservation data science interns typically work on?

Conservation Data Science interns often engage in projects such as analyzing wildlife population data, developing data visualization dashboards, or building predictive models to inform conservation strategies. These projects are usually team-based and directly support larger research or conservation initiatives by providing actionable insights from complex datasets. Interns frequently collaborate with ecologists, GIS specialists, and other data scientists, gaining hands-on experience with real-world conservation challenges. This work not only helps interns develop technical and analytical skills but also contributes to evidence-based decision-making in conservation organizations.

What are the most commonly searched types of Conservation Data Science jobs in Virginia?

The most popular types of Conservation Data Science jobs in Virginia are:

What are popular job titles related to Internship Conservation Data Science jobs in Virginia?

For Internship Conservation Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Conservation Data Science jobs in Virginia look for?

The top searched job categories for Internship Conservation Data Science jobs in Virginia are:

What cities in Virginia are hiring for Internship Conservation Data Science jobs?

Cities in Virginia with the most Internship Conservation Data Science job openings:

Internship Conservation Data Science jobs near you
Infographic showing various Internship Conservation Data Science job openings in Virginia as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution.

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 16 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 275 frontline employees who took The Breakroom Quiz

61st of 150 rated financial services

Job description


Provide analytical insight from organizational data to support mission critical decision making. Understand business needs and identify opportunities for new products and services to meet business objectives. Design and develop sophisticated predictive models and advanced algorithms to drive decisions and optimize business results. Devise testing of business data to draw conclusion for statistical significance at various confidence levels. Regarded as an industry expert in the data science field. Conduct highly complex work, unsupervised and with extensive latitude for independent judgment. Progression to this level is typically restricted on the basis of business requirement.
Responsibilities
  • Direct existing principles and guide development of new policies
  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
  • Identify opportunities, pose business questions, and make valuable discoveries
  • Generate and test hypotheses, analyze and interpret the results
  • Develop and code the most complex software programs, algorithms, and automated processes
  • Translate complex business and technical needs into technological objectives
  • Utilize effective written and verbal communication to document and present findings to stakeholders in support of critical decision making
  • Recognized as subject matter expert and advanced individual contributor professional
  • Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
  • Research and apply new best practices and ethical AI
  • Advise senior leaders on analytical insights and solutions to solve business problems
  • May lead complex technical projects and initiatives with significant impact
  • Lead the development and enhancement practices, procedures, and instructions
  • Serve as lead technical resource for other team members
  • Mentor and assist leading lower levels

Qualifications
  • 10+ years of relevant experience
  • In-depth professional knowledge, acumen, and concepts
  • Requires specialized skill set
  • Solid understanding of business dynamics and strategy
  • Statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Project Management skills
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Mentoring
  • Model Development
  • Communication
  • Critical Thinking
  • Thought Leadership
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Independent Judgment (Extensive)
  • Problem Solving (Recognizes potential issues and risks for long term implications)
  • Masters Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications
  • PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

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

Locations:
  • 820 Follin Ln. Vienna, Virginia 22180

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.

What Navy Federal Credit Union employees say

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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

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