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International Internship Computer Science Jobs in Raleigh, NC

Elder Research

Data Scientist

Raleigh, NC · On-site +1

... of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data ... Bachelor of Science degree in a relevant field such as statistics, computer science, economics ...

Danaher

Digital Analyst Internships

Raleigh, NC · On-site

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Durham, NC · On-site

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Durham, NC

$95K - $112K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Raleigh, NC

$95K - $113K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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All JobsInternational Internship Computer Science JobsInternational Internship Computer Science Jobs in Raleigh, NC

International Internship Computer Science information

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How much do international internship computer science jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for international internship computer science in Raleigh, NC is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

Which internship is best for computer science students?

The best internship for computer science students depends on their interests and career goals, but generally, internships at reputable tech companies or research institutions that offer hands-on experience with programming, software development, or data analysis are highly valuable. Skills in programming languages like Python, Java, or C++, along with familiarity with tools such as Git and cloud platforms, can enhance internship opportunities. Competitive internships often require a strong academic record and relevant project experience.

What are the key skills and qualifications needed to thrive as an International Internship Computer Science participant, and why are they important?

To thrive in an International Internship in Computer Science, you need a solid grounding in programming languages, data structures, algorithms, and often be enrolled in or have completed a relevant degree program. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and collaborative platforms like Jira or Slack is typically required. Adaptability, cultural awareness, and strong communication skills are crucial for working effectively in diverse, global teams. These skills and qualities enable interns to contribute meaningfully, learn from cross-cultural experiences, and succeed in real-world, collaborative tech environments.

Are international internships possible?

International internships in computer science are possible and often involve remote work or placements abroad, depending on the program. They typically require relevant skills, such as programming languages and communication tools, and may involve visa or work authorization considerations for in-person placements.

What are international internships in computer science?

International internships in computer science are temporary work placements offered by companies or organizations in a country different from your own, where you can gain practical experience in computer science fields like software development, data analysis, or cybersecurity. These internships allow students or recent graduates to work on real-world projects, develop technical skills, and experience diverse work cultures. They are a great way to expand your professional network, improve language skills, and enhance your resume for a global job market.

Can I do an internship internationally?

International internships in computer science are available through various programs and companies that offer remote or on-site opportunities abroad. Applicants typically need relevant skills, such as programming languages and tools, and may require work authorization or visas for on-site positions. Remote internships can often be completed from any location with internet access, depending on the employer's policies.

What are some common challenges faced during an international computer science internship and how can I prepare for them?

International computer science internships often present challenges such as adapting to new cultural and workplace norms, overcoming language barriers, and collaborating with diverse teams. You may also encounter different software development methodologies or unfamiliar technologies. To prepare, research the host country’s work culture, brush up on technical skills relevant to the internship, and practice effective communication. Being open-minded, proactive in seeking feedback, and willing to learn from your peers can help you succeed and make the most of your international experience.

How to get an internship internationally?

To secure an international internship in computer science, research companies or organizations offering global internship programs, prepare a strong resume highlighting relevant skills like programming languages and teamwork, and apply through official company websites or internship platforms. Visa requirements, language proficiency, and cultural adaptability are also important considerations for international placements.
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International Internship Computer Science jobs near you
Infographic showing various International Internship Computer Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $35,252 per year, or $16.9 per hour.
Data Scientist

Data Scientist

Elder Research

Raleigh, NC • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Scientist

General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 12 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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