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Data Scientist Apprentice Jobs in Chicago, IL (NOW HIRING)

Analytics Data Scientist - FinLab Job ID: 100421 * Atlanta * Boston * Chicago * Dallas * New York ... Our learning and apprenticeship culture, backed by structured programs, is all about helping you ...

Join our 12-24-month apprentice program! You will earn and learn on the job, receive career ... Pursuing a Computer Science, Data Analytics, or similar degree/program preferred * Strong technical ...

If you've had some experience with data analysis or simply working in a team oriented environment ... An Associates Degree in Computer Science, Information Systems or related * Project management ...

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If you've had some experience with data analysis or simply working in a team oriented environment ... Science, Information Systems or related • Project management experience IBM is committed to ...

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Data Scientist Apprentice information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do data scientist apprentice jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist apprentice in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

What is a Data Scientist Apprentice job?

A Data Scientist Apprentice is an entry-level role designed to provide hands-on experience in data analysis, machine learning, and statistical modeling under the guidance of experienced professionals. Apprentices typically assist with data cleaning, exploratory data analysis, and building predictive models while learning industry tools like Python, SQL, and data visualization libraries. This role helps develop practical skills in real-world projects, making it a great pathway into a full-time data science career.

What are the key skills and qualifications needed to thrive in the Data Scientist Apprentice position, and why are they important?

To thrive as a Data Scientist Apprentice, you should have a foundational understanding of statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as exposure to machine learning libraries, is highly beneficial. Strong analytical thinking, curiosity, and effective communication skills will help you learn quickly and contribute within a team. These competencies are crucial for extracting actionable insights from data and growing into more advanced data science roles.

What kinds of projects or tasks can I expect to work on as a Data Scientist Apprentice?

As a Data Scientist Apprentice, you'll typically assist with tasks such as data cleaning, collecting and preparing datasets, generating visualizations, and supporting more senior data scientists in building and evaluating models. You may be involved in exploratory data analysis, writing scripts to automate repetitive tasks, and presenting your findings to team members. Collaboration with analysts, engineers, and business stakeholders is common, providing insight into how data-driven decisions are made. These projects will help you develop practical experience and prepare you for more advanced responsibilities as you progress in your data science career.
What are the most commonly searched types of Data Scientist jobs in Chicago, IL? The most popular types of Data Scientist jobs in Chicago, IL are:
What are popular job titles related to Data Scientist Apprentice jobs in Chicago, IL? For Data Scientist Apprentice jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist Apprentice jobs in Chicago, IL look for? The top searched job categories for Data Scientist Apprentice jobs in Chicago, IL are:
Infographic showing various Data Scientist Apprentice job openings in Chicago, IL as of May 2026, with employment types broken down into 36% Full Time, 3% Part Time, 56% Contract, 4% Nights, and 1% Summer. Highlights an 21% Physical, and 79% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.
Data Scientist - FinLab

Data Scientist - FinLab

McKinsey & Company

Chicago, IL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

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


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

14th of 57 rated business consultants


Job description

Analytics Data Scientist - FinLab

Job ID: 100421

  • Atlanta
  • Boston
  • Chicago
  • Dallas
  • New York City
  • San Francisco
  • Seattle
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 You will help build the next generation of enterprise intelligence. You will support the FinLab team as a data scientist to analyze large amounts of data to drive insights that will be used to make strategic decisions for our clients. In this role, you will partner with client teams across project settings to develop AI-enabled custom software tools that will be implemented directly within our client organizations. You will exercise your creative and technical skills whilst growing into a thought leader in the space of financial services and a technology leader at our firm. You will become an advocate for the use of data and analytics, guiding teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients. This will enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting-edge. 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, all while upholding our unwavering commitment to ethics and integrity. 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
  • Bachelor's or advanced professional degree in engineering, computer science, statistics, or data science; master's degree is a plus with less than 2 years of work experience
  • 3+ years of professional experience as a data analyst or data scientist
  • Skilled in coding languages (e.g., SQL, Python, R), visualization/BI tools (e.g., Tableau, PowerBI) and modeling (e.g., regression, forecasting, decision trees)
  • Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
  • Experience with, or a strong desire to master, modern AI development frameworks like Langchain for orchestrating autonomous workflows, platforms like Amazon Bedrock for leveraging foundation models, and libraries like PydanticAI for ensuring structured, reliable data outputs.
  • Consulting experience preferred especially within financial services space
  • Comfortable working with Git, CI/CD tools, and modern development workflows
  • Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
  • Highly inquisitive and creative problem-solver to help colleagues and clients draw new insights and impact out of data; excited about working in a cross-cultural environment
  • Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
  • Professional attitude, team player and service-oriented mentality
  • Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike
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
  • Financial Services
  • High Tech
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.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $112,900 - $116,500 USD -to help you understand what you can expect. 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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