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Internship Computer Science Opt Jobs in Raleigh, NC

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Relevant internship, co-op, or project experience using Revit is preferred. * 0-2 years of ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Relevant internship, co-op, or project experience using Revit is preferred. * 0-2 years of ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT and EAD ... Bachelor degree in Computer Science, Information Systems, Mathematics, Engineering or related field ...

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Showing results 1-20

Internship Computer Science Opt information

What are internship opportunities for Computer Science OPT students?

Internship opportunities for Computer Science OPT (Optional Practical Training) students are temporary work experiences in the tech industry that allow F-1 visa holders to apply their academic knowledge in real-world settings. These internships can be with tech companies, startups, research labs, or IT departments, and often focus on software development, data analysis, cybersecurity, or other computer science fields. OPT internships help students gain valuable work experience, build professional networks, and potentially secure full-time employment after graduation. Students must ensure that the internship is directly related to their major and complies with OPT regulations set by the U.S. Citizenship and Immigration Services (USCIS).

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

To thrive in a Computer Science Internship, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by ongoing or completed coursework in computer science. Familiarity with version control systems like Git, basic software development tools, and sometimes introductory knowledge of databases or web frameworks is often expected. Strong problem-solving abilities, effective communication, and eagerness to learn help interns stand out and integrate well within teams. These skills and qualities are important because they enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow professionally in a real-world tech environment.

What types of projects can I expect to work on during a Computer Science internship, and how much guidance will I receive?

As a Computer Science intern, you can expect to work on a variety of projects ranging from software development and debugging to data analysis and testing. These projects often support ongoing team initiatives or introduce new features under the supervision of experienced engineers. Interns typically receive mentorship from a dedicated supervisor and collaborate with team members during code reviews, daily stand-ups, and brainstorming sessions. While you will be encouraged to take initiative and solve problems independently, guidance and feedback are provided regularly to help you grow and succeed in your role.

What is the difference between Internship Computer Science Opt and Software Developer Intern?

AspectInternship Computer Science OptSoftware Developer Intern
Required CredentialsEnrolled in or recent graduate of CS program, OPT authorizationEnrolled in or recent graduate of CS program, internship eligibility
Work EnvironmentTech companies, startups, research labsTech companies, startups, software firms
Employer & Industry UsageUsed for international students on OPT to gain work experienceCommon internship role for students seeking software development experience

Internship Computer Science Opt and Software Developer Intern roles share similar credentials and work environments, often found in tech companies. The main difference is that the Internship Computer Science Opt specifically caters to international students on OPT, while Software Developer Intern is a broader role for all students. Both provide valuable industry experience, but the OPT internship is tied to visa status requirements.

What are the most commonly searched types of Computer Science Opt jobs in Raleigh, NC? The most popular types of Computer Science Opt jobs in Raleigh, NC are:
What are popular job titles related to Internship Computer Science Opt jobs in Raleigh, NC? For Internship Computer Science Opt jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Internship Computer Science Opt jobs? Cities near Raleigh, NC with the most Internship Computer Science Opt job openings:
Infographic showing various Internship Computer Science Opt job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Raleigh, NC

Other

Posted 2 hours ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Qualifications:

Consultant - Data Science / Data Lake

Are you looking to apply cyber analytics, artificial intelligence, and security operations experience in a client-facing role? At Deloitte, you'll help organizations modernize security operations, improve cyber resilience, and use data-driven insights to strengthen threat detection and response. In this Consultant, Cyber Defense & Resilience, Security Operations role, you will support cyber data, analytics, and transformation initiatives across leading organizations.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a Consultant, Cyber Defense & Resilience, Security Operations on the Cyber Defense & Resilience Security Operations team, you will be responsible for...

  • Supporting the design and modernization of cyber data, analytics, and security operations capabilities for client environments
  • Applying artificial intelligence, machine learning, and data engineering methods to cybersecurity use cases such as detection engineering, threat hunting, and response support
  • Working with cyber data platforms, cloud technologies, and telemetry sources to improve visibility, analysis, and operational decision-making
  • Contributing to strategy, design, and implementation workstreams across cyber transformation engagements
  • Preparing analyses, client deliverables, and recommendations while collaborating with cross-functional stakeholders and project team members

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Cyber Defense & Resilience is an integrated team of security and data technologists working at the intersection of cybersecurity, cyber data engineering, and artificial intelligence and machine learning for cyber defense and operations. The team helps clients modernize security data environments, improve data operations, and apply scalable analytics and artificial intelligence capabilities to cybersecurity challenges. Through a combination of advisory, implementation, and managed services support, Deloitte helps organizations strengthen cyber operations and advance business performance.

Qualifications

Required:

  • 2+ years of experience in analytics consulting, cybersecurity analytics, security operations, or a combination of these (including internships and in-school experience)
  • 1+ years of experience with artificial intelligence development tools or frameworks such as vector databases, LangChain, or CrewAI
  • 1+ years of experience using Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, engineer features, visualize data, or support machine learning workflows
  • Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center (SOC) threat hunting or incident response
  • Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a field aligned to the role; or 4 years of equivalent professional experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting the design, development, or deployment of enterprise data science or artificial intelligence solutions
  • Experience applying artificial intelligence, machine learning, or advanced data engineering to cybersecurity use cases such as detection engineering or threat response support
  • Experience parsing and normalizing cyber or information technology telemetry datasets
  • Experience with PyTorch, Keras, TensorFlow, Scikit-learn, NumPy, or SciPy
  • Experience with Apache Kafka, Storm, or Spark
  • Experience creating client-ready materials using Microsoft PowerPoint or Microsoft Visio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600 to $162,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CDRCyber27

Education:Bachelor's DegreeEmployment Type:

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