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Intern Deloitte Computer Science Jobs in Chicago, IL

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in ... Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and ...

Data Science Consultant Our Deloitte Customer team empowers organizations to build deeper ... statistics or computer science) are the ideal candidates. * At least 2+ years of industry ...

Data Science Intern

Chicago, IL · On-site

$1.20K/wk

What you'll do as a Data Science Intern at Rundoo * Analyze data on product, sales and GTM ... Andrew (CTO): studied computer science & humanities at Stanford; worked as a software engineer and ...

Required : • Master's or PhD in Computer Science, Engineering, Physics, or related STEM field • ... Deloitte is a business consulting company that offers audit, consulting, financial advisory, and ...

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

Oracle Technical Cloud Senior Consultant

Chicago, IL · On-site

$65.50 - $82.50/hr

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

Sr Databricks Data Engineer

Chicago, IL · On-site

$118K - $141.80K/yr

Deloitte is a leading professional services firm that helps clients leverage modern data platforms ... Required : • Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years ...

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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.

What are the most commonly searched types of Deloitte Computer Science jobs in Chicago, IL? The most popular types of Deloitte Computer Science jobs in Chicago, IL are:
What are popular job titles related to Intern Deloitte Computer Science jobs in Chicago, IL? For Intern Deloitte Computer Science jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Intern Deloitte Computer Science jobs? Cities near Chicago, IL with the most Intern Deloitte Computer Science job openings:
Data Science Manager, Life Sciences & Healthcare - SFL Scientific

Data Science Manager, Life Sciences & Healthcare - SFL Scientific

Deloitte

Chicago, IL • On-site

Other

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

60th of 138 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.

We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.

Recruiting for this role ends on 5/31/2026.

Work You'll Do

As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.

Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.

  • Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements

  • Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production

  • Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications

  • Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests

  • Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.

  • Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development

The Team

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 6+ years of experience working in data science, data engineering, software engineering, or MLOps
  • 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
  • 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
  • 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
  • 4+ years of experience managing teams and delivering complex and critical projects
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
  • Experience with developing and testing GenAI solutions for healthcare or life sciences
  • Experience in a client-facing role 
  • Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations

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 $130,800 to $241,000.

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.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

#MonitorDeloitte, #DeloitteJobs, #StrategyConsulting, #DeloitteStrategy, #Strategy26, #SFL26

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.

SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.

We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.

Recruiting for this role ends on 5/31/2026.

Work You'll Do

As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.

Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.

  • Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements

  • Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production

  • Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications

  • Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests

  • Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.

  • Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development

The Team

Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 6+ years of experience working in data science, data engineering, software engineering, or MLOps
  • 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
  • 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
  • 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
  • 4+ years of experience managing teams and delivering complex and critical projects
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred Qualifications:

  • Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
  • Experience with developing and testing GenAI solutions for healthcare or life sciences
  • Experience in a client-facing role 
  • Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations

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 $130,800 to $241,000.

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.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

#MonitorDeloitte, #DeloitteJobs, #StrategyConsulting, #DeloitteStrategy, #Strategy26, #SFL26

Education:Master's DegreeEmployment Type:

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