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Trainee Data Science Jobs in Evanston, IL (NOW HIRING)

BB Insight

Engineering Trainee

Schaumburg, IL · On-site

... enterprises modernize data ecosystems and accelerate digital transformation through Data ... UG/PGin Computer Science, IT, or related technical disciplines. * Batch: 2025 & 2026 graduates.

IFG Companies

Underwriting Trainee

Chicago, IL · On-site

$65K - $75K/yr

Strong analytical and problem-solving skills, with the ability to interpret data and apply sound ... economics, actuarial science, or related fields. * Required: Proficiency with Microsoft ...

Blackbuck Insights

Engineering Trainee

Schaumburg, IL · On-site

$60 - $80/hr

BBI is a global data engineering consulting firm that empowers clients to effectively scale and ... UG/PGin Computer Science, IT, or related technical disciplines. * Batch:2025 & 2026 graduates.

The University of Chicago

Staff Scientist

Chicago, IL · On-site

$80K - $100K/yr

Mentors graduate students, postdoctoral trainees, technicians, and undergraduate researchers ... Serves as a resource for collecting data and performing analysis. Facilitates and promotes a ...

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All JobsData Science JobsTrainee Data Science JobsTrainee Data Science Jobs in Evanston, IL

Trainee Data Science information

See Evanston, IL salary details

$36K

$117.8K

$188.6K

How much do trainee data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for trainee data science in Evanston, IL is $117,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

What are the most commonly searched types of Data Science jobs in Evanston, IL?

The most popular types of Data Science jobs in Evanston, IL are:

What are popular job titles related to Trainee Data Science jobs in Evanston, IL?

For Trainee Data Science jobs in Evanston, IL, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Evanston, IL look for?

The top searched job categories for Trainee Data Science jobs in Evanston, IL are:

What cities near Evanston, IL are hiring for Trainee Data Science jobs?

Cities near Evanston, IL with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,787 per year, or $56.6 per hour.

Team Scientists -- Translational Data Science #MED354

Chicago, IL • On-site

University of Chicago
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Chicagoexternal

Full-time

Re-posted yesterday

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities

Job description

Job Summary:
The University of Chicago's Department of Medicine is searching for full-time faculty members to join the Center for Translational Data Science. The role focuses on leading research in translational data science and developing systems and algorithms to support this field.
Responsibilities:
• lead research focusing on translational data science
• development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science
• development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science
• teaching and supervision of trainees and students
• scholarly activity
Qualifications:
Required:
• Doctoral degree or equivalent in Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
• Experience in translational data science.
• Experience in the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science.
• Experience in the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science.
• Ability to teach and supervise trainees and students.
• Engagement in scholarly activity.
Preferred:
• Research broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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