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Internship Marine Computer Science Jobs in Colorado

... Computer Science, Computer Engineering, Software Engineering, or another relevant engineering ... At least 3 years developing applications in a work environment; outside of school and internship ...

Bachelors of Science Degree in Computer Science, Computer Engineering, Software Engineering, or ... At least 3 years developing applications in a work environment; outside of school and internship ...

Project Engineer Summer Internship

Denver, CO

$17.25 - $22.50/hr

This internship applies the general knowledge of the physical sciences and mathematics underlying ... Physical Demands & Work Environment This office and field hybrid role requires frequent computer ...

Geologist

Lakewood, CO · On-site

$118K/yr

... computer science, planetary geology, comparative planetology, geophysics, meteorology, hydrology, oceanography, physical geography, marine geology, and cartography. or * Combination of education and ...

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Internship Marine Computer Science information

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

To thrive as an Internship Marine Computer Science, a solid background in computer science fundamentals, programming (such as Python or MATLAB), and basic understanding of marine science concepts is essential, often supported by ongoing undergraduate studies in a related field. Familiarity with data analysis tools, remote sensing software, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective teamwork skills help interns excel in collaborative research environments. These competencies enable interns to contribute meaningfully to projects, process complex marine data, and adapt to the interdisciplinary nature of marine technology.

What types of projects or tasks can an intern in Marine Computer Science expect to work on during their internship?

As a Marine Computer Science intern, you can expect to work on a variety of projects involving data analysis, software development, and simulation for marine applications. Common tasks include assisting with the development of algorithms for oceanographic data collection, supporting the integration of sensors and software on autonomous underwater vehicles, and contributing to research on marine ecosystem modeling. Interns often collaborate closely with researchers, engineers, and other interns, gaining hands-on experience in both fieldwork and laboratory settings. This exposure provides a strong foundation for future roles in marine technology or research.

What is the difference between Internship Marine Computer Science vs Marine Software Developer?

AspectInternship Marine Computer ScienceMarine Software Developer
CredentialsEnrolled in or recent graduate of Computer Science or Marine Engineering programsBachelor's or higher in Computer Science, Software Engineering, or related fields
Work EnvironmentMarine research vessels, offshore platforms, or maritime facilitiesOffshore or onshore software development teams in maritime industries
Industry UsageUsed as a training role for students interested in marine techFull-time role developing maritime software solutions
Search & Comparison IntentInternship opportunities in marine tech and computer scienceCareer in maritime software development

While both roles involve computer science skills in marine settings, an Internship Marine Computer Science is a temporary training position for students, whereas a Marine Software Developer is a full-time professional role focused on developing maritime software solutions.

What is an Internship in Marine Computer Science?

An Internship in Marine Computer Science is a temporary position designed for students or recent graduates to gain practical experience working with technology and software related to marine environments. Interns typically assist with tasks such as data analysis, programming, modeling of oceanographic processes, or developing software for marine research applications. These internships provide valuable hands-on learning, exposure to real-world marine technology projects, and networking opportunities within the marine science and technology industries.
What are popular job titles related to Internship Marine Computer Science jobs in Colorado? For Internship Marine Computer Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship Marine Computer Science jobs in Colorado look for? The top searched job categories for Internship Marine Computer Science jobs in Colorado are:
Infographic showing various Internship Marine Computer Science job openings in Colorado as of June 2026, with employment types broken down into 29% Full Time, 55% Part Time, and 16% Temporary. Highlights an 100% In-person job distribution.
Consultant - Data Science / Data Lake

Consultant - Data Science / Data Lake

Deloitte

Denver, CO

Other

Posted 8 days ago


Deloitte rating

8.0

Company rating: 8.0 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

55th of 139 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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