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Computer Science Apprenticeship Jobs in Illinois

POSITION SUMMARY The Software Engineering Apprentice will support the configuration, optimization ... Recent graduate with a bachelor's degree in Computer Science, Information Technology, or related ...

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Computer Science Apprenticeship information

See Illinois salary details

$17.1K

$56.2K

$113.6K

How much do computer science apprenticeship jobs pay per year?

As of Jul 4, 2026, the average yearly pay for computer science apprenticeship in Illinois is $56,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,221.00 and $72,830.00 per year, depending on experience, location, and employer.

What kind of mentorship or training can I expect during a Computer Science Apprenticeship?

As a Computer Science Apprentice, you will typically receive structured mentorship from experienced software engineers and participate in hands-on training sessions. Expect regular code reviews, pair programming opportunities, and collaborative projects that help reinforce your learning. Many programs also provide access to internal documentation, technical workshops, and opportunities to shadow professionals across different teams, giving you a broader view of the field. This support structure is designed to help you rapidly build practical skills and prepare for a full-time role in computer science upon completion of the apprenticeship.

What is a Computer Science Apprenticeship job?

A Computer Science Apprenticeship is a structured, hands-on training program that combines practical work experience with academic learning. Apprentices typically work under the guidance of experienced professionals while gaining technical skills in areas such as programming, software development, and cybersecurity. These programs often lead to industry-recognized certifications or a full-time job upon completion. They are ideal for individuals looking to enter the tech field without a traditional degree or seeking hands-on experience while studying.

What are the key skills and qualifications needed to thrive in the Computer Science Apprenticeship position, and why are they important?

To excel in a Computer Science Apprenticeship, you need foundational knowledge of programming languages (such as Python, Java, or C++), basic understanding of algorithms and data structures, and a willingness to learn on the job. Exposure to version control systems like Git and familiarity with development environments or basic software engineering principles are often expected. Strong problem-solving abilities, effective communication, and a collaborative attitude help apprentices integrate seamlessly into development teams. These skills are crucial for adapting to new technologies, contributing effectively to projects, and gaining the practical experience needed for a successful tech career.

What are the most commonly searched types of Computer Science Apprenticeship jobs in Illinois? The most popular types of Computer Science Apprenticeship jobs in Illinois are:
What are popular job titles related to Computer Science Apprenticeship jobs in Illinois? For Computer Science Apprenticeship jobs in Illinois, the most frequently searched job titles are:
What cities in Illinois are hiring for Computer Science Apprenticeship jobs? Cities in Illinois with the most Computer Science Apprenticeship job openings:
Data Scientist II - Scientific AI

Data Scientist II - Scientific AI

McKinsey & Company

Chicago, IL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 58 rated business consultants


Job description

Analytics Data Scientist II - Scientific AI

Job ID: 107622

  • Atlanta
  • Austin
  • Boston
  • Charlotte
  • Chicago
  • Houston
  • New Jersey
  • New York City
  • Philadelphia
  • Pittsburgh
Apply NowApply Later Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT Your work will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering. You will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders. You will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment. You will be working in one of our offices in North America in our Life Sciences practice. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity. You will be on McKinsey's global Scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will support the manager of data science on the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
  • Master's or PhD degree
  • 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research
  • Proven experience applying machine learning techniques to solve business problems
  • Proven experience in translating technical methods to non-technical stakeholders
  • Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain)
  • Experience with version control (GitHub)
  • ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision
  • Ability to write production code and object-oriented programming
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our
unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Industries
  • High Tech
  • Life Sciences
Capabilities
  • Technology
Apply NowApply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.


Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
To help you understand what you can expect, the salary range for new joiners in this role in United States, including all office locations where the job may be performed, is $137,500 - $141,700 USD gross per year. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.


Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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