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Intern Deloitte Computer Science Jobs in Washington, DC

AI Developer Intern -- 90 Day Internship with Potential Full-Time Opportunity. This position is ... Strong computer science fundamentals , including software design, data structures, algorithms ...

ASP.NET Intern

Washington, DC · On-site

$17 - $22.75/hr

ASP.NET DEVELOPER INTERN Washington, DC About Anybill Financial Services: Established in 2001 ... Currently enrolled in an Associate or Bachelor's Program in Technology, Computer Science, or ...

Showing results 41-60

Intern Deloitte Computer Science information

What does an intern at Deloitte in computer science do?

An Intern at Deloitte in Computer Science typically assists with technology consulting, software development, data analysis, and IT project support. Interns may work on real client projects under the guidance of experienced professionals, contributing to the design and implementation of technology solutions. The role offers hands-on experience with industry tools, exposure to various IT domains, and opportunities to develop both technical and professional skills. Interns also participate in training sessions, networking events, and mentorship programs to deepen their understanding of the consulting industry.

What are the key skills and qualifications needed to thrive as an intern at Deloitte in computer science, and why are they important?

To thrive as a Computer Science Intern at Deloitte, you need a solid understanding of programming languages, algorithms, and data structures, often supported by progress toward a degree in computer science or a related field. Familiarity with software development tools, version control systems like Git, and possibly certifications in relevant technologies such as AWS or Azure are valuable. Strong analytical thinking, effective communication, and a collaborative attitude are essential soft skills for contributing to team projects and learning quickly. These competencies are crucial for successfully supporting real-world client solutions, adapting to fast-paced environments, and maximizing your learning experience during the internship.

What is the difference between Intern Deloitte Computer Science vs Intern Deloitte Software Engineering?

AspectIntern Deloitte Computer ScienceIntern Deloitte Software Engineering
Required CredentialsRelevant Computer Science coursework, possibly some coding certificationsComputer Science background, coding skills, possibly software development certifications
Work EnvironmentResearch, data analysis, algorithm development, technical supportSoftware development, coding, testing, and deployment tasks
Employer & Industry UsageUsed across tech, finance, consulting sectors for technical rolesPrimarily in software development projects within Deloitte's tech and consulting services

Intern Deloitte Computer Science roles focus on research, algorithms, and technical support, while Intern Deloitte Software Engineering positions emphasize coding, software development, and deployment. Both roles require a strong foundation in computer science but differ in daily tasks and project focus.

What types of projects can an intern at Deloitte in computer science expect to work on, and how are tasks typically assigned?

As a Computer Science intern at Deloitte, you can expect to work on a variety of projects that may include software development, data analysis, automation, or cybersecurity, depending on your team's focus. Tasks are typically assigned based on current client needs and your skill set, with interns often collaborating closely with experienced consultants and technical leads. You'll likely participate in team meetings, contribute to coding or testing efforts, and help develop solutions for real-world business challenges. This collaborative environment allows you to learn from professionals while gaining hands-on experience in consulting and technology.
What are the most commonly searched types of Deloitte Computer Science jobs in Washington, DC? The most popular types of Deloitte Computer Science jobs in Washington, DC are:
What are popular job titles related to Intern Deloitte Computer Science jobs in Washington, DC? For Intern Deloitte Computer Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Intern Deloitte Computer Science jobs in Washington, DC look for? The top searched job categories for Intern Deloitte Computer Science jobs in Washington, DC are:
Infographic showing various Intern Deloitte Computer Science job openings in Washington, DC as of August 2026, with employment types broken down into 54% Part Time, and 46% Temporary. Highlights an 100% In-person job distribution.

Lead Generative AI Data Engineer III with Security Clearance

Deloitte

Washington, DC • On-site

$116K - $152K/yr

Other

Re-posted 26 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning work, reviewing deliverables, and driving quality, timeliness, and issue resolution across the team. * Develop and oversee data pipelines, model training workflows, and production-grade application components that support AI-enabled products. * Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions. * Coach and mentor junior practitioners, provide day-to-day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability. Skills for Success * 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 mentor and provide clear guidance to others. The Team Deloitte's Government & Public Services (GPS) practice-our people, ideas, technology, and outcomes-is designed for impact. Serving federal, state, and local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance, and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets. Qualifications Required * Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions. * 3+ years of experience programming in Python, Pyspark, Pytorch, and Tensorflow. * 2+ years of technology consulting experience in the Federal Health space
* 2+ years of experience deploying machine learning models into production environments. * 2+ years of experience leading technical teams, projects, or workstreams supporting artificial intelligence or machine learning solution delivery. * 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI. * Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow. * Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred * Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * Active US Government security clearance. * 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions. * 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes. * 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes. Compensation The wage range for this role takes into account a wide range of factors 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 $159,100 to $265,100. 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. ai&e fy27 profile

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