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Intern Deloitte Computer Science Jobs in Manhattan, NY

IT Part-time Paid Intern

Secaucus, NJ · On-site

$15.25 - $20.25/hr

Job Title: IT Part-time Paid Intern Duration: School Semester Department: Information Technology ... Currently pursuing or recently completed a degree in Information Technology, Computer Science ...

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

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 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 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 are the most commonly searched types of Deloitte Computer Science jobs in Manhattan, NY?

The most popular types of Deloitte Computer Science jobs in Manhattan, NY are:

What are popular job titles related to Intern Deloitte Computer Science jobs in Manhattan, NY?

For Intern Deloitte Computer Science jobs in Manhattan, NY, the most frequently searched job titles are:

What cities near Manhattan, NY are hiring for Intern Deloitte Computer Science jobs?

Cities near Manhattan, NY with the most Intern Deloitte Computer Science job openings:

Infographic showing various Intern Deloitte Computer Science job openings in Manhattan, NY as of August 2026, with employment types broken down into 53% Part Time, and 47% Temporary. Highlights an 100% In-person job distribution.

Senior Consultant-AI and Data Risk Management

Deloitte

New York, NY • On-site

Full-time

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 151 rated financial services


Job description

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The 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

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

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. 

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 $116,200 to $229,100


Qualifications:

Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.

Work you'll do

As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data-driven solutions for clients across financial services, fintech, and technology industry sectors. You will:

  • Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  • Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  • Assist in the design, implementation, and optimization of data management solutions - this includes data architecture, platforms, governance, quality, and security initiatives
  • Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
  • Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  • Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
  • Collaborate with cross-functional teams-both internal and external-to execute project tasks and fulfill engagement objectives
  • Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
  • Prepare project documentation, status updates, and client-ready deliverables highlighting progress, technical findings, and recommendations
  • Present findings and insights to stakeholders in a clear and compelling manner

The 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

Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes. We deliver enhanced value through strategic transformation, end-to-end implementation, and focus on business-as-usual sustainability across processes, controls, and data & analytics infrastructure.

Required Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
  • 4+ years' experience in data architecture, data management, or data engineering
  • 2+ years of experience in the financial services or fintech industry
  • Demonstrated proficiency in relevant tools and platforms, including:
  • Programming/Scripting: Python, SQL, R, Java, Scala, etc.
  • Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
  • Data Management: Collibra, Alation, Informatica, Alteryx, etc.
  • Predictive Analytics: Python, IBM SPSS, SAS, RPL, etc.
  • Data Visualization: Tableau, PowerBI, Qlik, etc.
  • Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
  • Experience and familiarity with:
  • Banking regulatory reporting tools (e.g., Axiom)
  • Data integration and migration projects in financial services
  • Data governance best practices, especially in regulatory contexts
  • Strong analytical skills and experience with managing and manipulating large datasets
  • Excellent written and verbal communication skills for presenting complex technical information to both technical and non-technical stakeholders
  • Demonstrated ability to solve complex problems in fast-paced environments
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

 Preferred Qualifications:

  • Master's degree in Computer Science, Information Technology, Information Systems, or business-related field
  • Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP
  • 3+ years of experience in the financial services or technology industry

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com

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. 

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 $116,200 to $229,100


Education:Bachelor's DegreeEmployment Type:

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