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Internship Deloitte Computer Science Jobs in Illinois

Deloitte

Salesforce CTA, Associate Vice President

Chicago, IL · On-site

$57.25 - $75.75/hr

Bachelor's Degree in Computer Science, Engineering or equivalent work experience * Ability to ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

Deloitte

Lead Cloud Security Analyst

Chicago, IL · On-site

Bachelor's Degree or equivalent in Computer Science, Cybersecurity, IT, or related field. * Minimum ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

New

Deloitte

Cyber Full-Stack Software Engineer

Chicago, IL · On-site

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

Deloitte

Lead Forward Deployed Engineer, Palantir

Chicago, IL · On-site

$105K - $139K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering * 7+ years of ... At Deloitte, it is not typical for an individual to be hired at or near the top of the range for ...

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Internship Deloitte Computer Science information

How hard is it to get into a Deloitte internship?

Getting a Deloitte internship in computer science is competitive and typically requires strong academic performance, relevant technical skills, and a solid application. Candidates often need to demonstrate problem-solving abilities, teamwork, and familiarity with tools like programming languages and development environments.

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

To thrive as a Computer Science intern at Deloitte, you need a solid understanding of programming fundamentals, data structures, and algorithms, typically demonstrated through ongoing studies in a relevant degree program. Familiarity with programming languages like Python or Java, experience with databases, and knowledge of version control systems such as Git are commonly required. Strong analytical thinking, effective communication, and a willingness to learn make interns stand out in collaborative and fast-paced environments. These skills and qualities are vital for successfully contributing to client projects, adapting to new technologies, and working efficiently within Deloitte's multidisciplinary teams.

What is an internship at Deloitte for computer science students?

An Internship at Deloitte for Computer Science students is a temporary position that offers hands-on experience in technology, consulting, or related fields within the company. Interns work alongside experienced professionals, contributing to real projects, learning industry best practices, and developing technical and soft skills. The program is designed to provide insight into Deloitte's work culture and can often lead to full-time job opportunities upon graduation. Interns may be involved in tasks such as software development, data analysis, or IT consulting, depending on the specific team and project needs.

Which internship is best for a computer science student?

The Deloitte Computer Science internship is a highly regarded opportunity for students seeking practical experience in areas like software development, data analysis, and cybersecurity. It typically involves working on real projects, developing technical skills, and gaining industry exposure, making it a valuable step toward a technology career.

What types of projects do computer science interns typically work on at Deloitte, and how do these projects support professional development?

As a computer science intern at Deloitte, you can expect to work on real-world projects that often involve data analysis, software development, automation, or cybersecurity initiatives. These projects are designed to address client needs or improve internal processes, allowing interns to apply their technical skills in a business context. You'll typically collaborate with multidisciplinary teams, including consultants and senior engineers, which fosters both technical and soft skill growth. This hands-on experience not only builds your resume but also exposes you to Deloitte's methodologies and work culture, supporting your long-term professional development.
What are the most commonly searched types of Deloitte Computer Science jobs in Illinois? The most popular types of Deloitte Computer Science jobs in Illinois are:
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Internship Deloitte Computer Science jobs near you

Consultative Offerings - Analyst - Forensic Analytics

Deloitte

Chicago, IL • On-site

Other

Re-posted 20 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

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

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 is $95,000.

Qualifications:
Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth-we believe in exponential possibilities. Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship. When you join Deloitte, you don't just build a career-you unlock unlimited opportunities, shaping your future and the world around you. Take the power of you and put it to the power of Deloitte. Reach your exponential!

As a Forensic Analytics Analyst, you'll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You'll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you'll help build a more trustworthy and reliable world.

Work You'll Do

As a Forensic Analytics Analyst, you will:

  • Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you'll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects
  • Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management
  • Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future
  • Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights
  • Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance
  • Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns
  • Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques
  • Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies
  • Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement
Regardless of type of work, your work may require:

  • Strong verbal and written communication skills for effective client and team interactions
  • Ability to work independently and manage multiple responsibilities in a fast-paced environment
  • Problem-solving and critical thinking skills to drive innovation and operational improvements
  • Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders
  • Quick to learn and apply new concepts, frameworks, and emerging technologies
  • Proactive in managing personal and professional growth and expanding consulting skills
  • Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint
The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients' organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization's operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

  • Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 pursuing a bachelor's degree or higher in one of the following majors or a related/equivalent program:
    • Technology: Data Analytics, Computer Science, Management Information Systems
    • Business: Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
    • Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics
  • Strong academic track record (3.0 cumulative GPA required, 3.2 cumulative GPA preferred).
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Candidates must be at least 18 years of age at time of employment
  • Must live within a commutable distance to your assigned office (e.g. 100-mile radius) with the ability to commute daily, if required, upon start date
Preferred Qualifications

  • Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
  • Familiarity with a variety of analytics tools and programming languages such as, but not limited to:
    • Microsoft SQL Server, Oracle
    • Predictive Analytics/Data Mining: (e.g. Python)
    • Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
    • Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)
    • Reporting Tools (e.g. Business Objects, Reporting Services)
    • Machine Learning / GenAI
    • Cloud Computing (e.g. AWS, Azure, etc.)
OR
  • Meet minimal educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

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 organiza...

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