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Intern Deloitte Computer Science information

What are the key skills and qualifications needed to thrive as a Computer Science Intern at Deloitte, 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 types of projects can a Computer Science intern at Deloitte 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 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 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.

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Intern Deloitte Computer Science jobs near you
AI Technical Project Lead - SFL Scientific

AI Technical Project Lead - SFL Scientific

Deloitte

San Diego, CA • On-site

Full-time

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

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that guides clients through critical moments and transformational initiatives. They are seeking an experienced AI Technical Project Lead to manage the execution of AI and consulting initiatives, ensuring effective delivery and communication across technical teams and stakeholders.
Responsibilities:
• Collaborate with technical leaders on end-to-end delivery for AI/GenAI and data workstreams across one or more client engagements, managing scope, timeline, dependencies, budget and quality
• Responsible for overall coordination, status reporting, and stability of project-orientated work efforts within a program
• Translate business requirements into user stories, technical tasks and drive backlog hygiene (acceptance criteria, prioritization, sizing, and definition of done)
• Run standups, plan sprints and demos if required, retros to ensure teams are unblocked and delivering commitments
• Partner with architects, engineers, MLOps, and data science teams to validate feasibility, sequencing, and integration dependencies (e.g., LLM integration, RAG, evaluation, model deployment)
• Proactively manage RAID (risks, assumptions, issues, dependencies), change control, and release planning to maintain predictable delivery
• Drive and evaluate estimates by deliverable and work with project teams to optimize program-related deliverables, including critical path, related inter-project dependencies, risks and issues
• Create weekly leadership updates (status, key decisions, risks, mitigations, and asks) tailored to executive audiences
• Build and deliver clear, structure presentations that connect technical progress to outcomes, timelines, and tradeoffs
• Facilitate decision-making by surfacing options, impacts and recommendations-especially when scope, schedule, or technical constraints shift
• Partner with engagement leadership to prepare steering committees, QBRs, and milestone reviews (talk tracks, visuals, and pre-reads)
Qualifications:
Required:
• Bachelor's degree in business, STEM, or related field (e.g., Computer Science, Engineering, Data Science)
• 4+ years of experience managing technical delivery for data/analytics/AI initiatives in consulting or enterprise environments
• 4+ years of experience leading client-facing delivery, driving stakeholder communication across working teams through executive leadership
• 4+ years of experience working in Agile/Scrum or hybrid delivery models with measurable outcomes
• 4+ years of experience using delivery tools such as Jira and Confluence (plus Smartsheet, Asana, etc. as applicable), with strong experience managing technical tickets and reporting
• 4+ years of experience managing delivery governance, KPI reporting and/or budgets to ensure on-time, high-quality outcomes
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Live within commuting distance to one of Deloitte's consulting offices
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in business, STEM, or related field (e.g., Computer Science, Engineering, Data Science)
• Excellent communication skills: ability to synthesize ambiguity into crisp narratives, decision points and slides
• Working knowledge of AI/ML and GenAI concepts (LLMs, prompt patterns, RAG, MLOps) and modern data platforms (cloud, pipelines)
• Strong technical fluency: comfortable challenging assumptions, clarifying requirements, and coordinating across engineering and data science teams
• Experience with change management and AI solution rollout/adoption across business functions
• Experience supporting pre-sales (estimating, scoping, workplans, RAID, and delivery approach)
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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