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Full Time Data Science Rotational Program Jobs in Illinois

DataAnnotation

Data Science Consultant

Springfield, IL · On-site +1

$40/hr

Some team members fit this work alongside a full-time role, while others treat it as their primary ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Support hiring and onboarding, including intern and actuarial student rotations. Strategic ...

AbbVie

Data Science Program Lead I

North Chicago, IL · On-site

$84.50K/yr

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

AbbVie

Data Science Program Lead I

North Chicago, IL · On-site

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

AbbVie

Data Science Program Lead I

North Chicago, IL · On-site

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$157.50K - $163.30K/yr

... data processing programs. Design and construct new data processes using Base SAS, SAS Macros ... Job Family: Time Type: Full time Primary Location: Schaumburg Illinois United States Primary ...

NielsenIQ

Data Science Intern

Chicago, IL · On-site

NielsenIQ's North America Data Science team empowers clients to make bold decisions using trusted ... Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various ...

Chicago Public Schools

Data Analyst, OSD

Chicago, IL · On-site

... of OSD programs and services. This is a full-time, exempt position that will be paid for time ... Master's degree in a quantitative field of study (e.g., data science), preferred Experience ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

$109.50K/yr

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

AbbVie

Data Science Program Lead II

North Chicago, IL · On-site

This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Responsibilities * Aligns DSS study teams with ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$163.30K/yr

... programs. Conducts data usage analysis, identifies insights and implications and make strategic ... Job Family: Time Type: Full time Primary Location: Schaumburg Illinois United States Primary ...

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Full Time Data Science Rotational Program information

What are the key skills and qualifications needed to thrive in a Full Time Data Science Rotational Program, and why are they important?

To succeed in a Full Time Data Science Rotational Program, you typically need a strong background in statistics, programming (such as Python or R), and data analysis, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and experience using databases (SQL) are commonly required. Excellent problem-solving, adaptability, and strong communication skills help you collaborate across diverse teams and effectively present insights. These skills are critical because the rotational structure demands quick learning, versatility, and the ability to deliver impactful data-driven solutions in different business contexts.

What can participants expect in terms of team collaboration and mentorship during a Full Time Data Science Rotational Program?

Participants in a Full Time Data Science Rotational Program typically work on diverse teams across multiple business units, allowing them to collaborate with data scientists, analysts, engineers, and business stakeholders. Each rotation usually includes dedicated mentorship from experienced professionals, who guide project work and career development. This structure provides a supportive environment for learning new tools and methodologies while building a broad professional network. Regular feedback sessions and cross-functional projects are common, giving participants a holistic view of how data science drives business decisions.

What is a Full Time Data Science Rotational Program?

A Full Time Data Science Rotational Program is a structured, entry-level career development initiative offered by many companies, designed to give recent graduates or early-career professionals broad exposure to different areas within data science. Participants rotate through several departments or teams, working on various data-driven projects, such as machine learning, analytics, data engineering, and business intelligence. These programs typically last 1-2 years and provide hands-on training, mentorship, and networking opportunities. The goal is to help participants develop a diverse skill set and identify their preferred area of specialization within data science. Upon completion, individuals are often placed into permanent data science roles within the organization.

What is the difference between Full Time Data Science Rotational Program vs Data Analyst?

AspectFull Time Data Science Rotational ProgramData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Business, Economics, or related fields
Work EnvironmentRotational assignments across teams, focus on data science projectsFocused on data interpretation, reporting, and visualization
Employer & Industry UsageCommon in tech, consulting, finance; designed for early-career developmentWidely used across industries for data-driven decision making

The Full Time Data Science Rotational Program offers a structured, multi-team experience for early-career professionals aiming to develop broad data science skills. In contrast, Data Analysts typically focus on analyzing and visualizing data within a specific domain. Both roles require strong analytical skills, but the rotational program emphasizes diverse project exposure and skill-building, making it ideal for those seeking a comprehensive entry into data science careers.

What are the most commonly searched types of Data Science Rotational Program jobs in Illinois? The most popular types of Data Science Rotational Program jobs in Illinois are:
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What cities in Illinois are hiring for Full Time Data Science Rotational Program jobs? Cities in Illinois with the most Full Time Data Science Rotational Program job openings:
Full Time Data Science Rotational Program jobs near you
Infographic showing various Full Time Data Science Rotational Program job openings in Illinois as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.
Data Science Consultant

Data Science Consultant

DataAnnotation

Springfield, IL • On-site, Remote

$40/hr

Full-time

Posted 17 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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