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Entry Level Data Science Jobs in Lake Forest, IL

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Chicago, IL ยท On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Bachelor's degree in Computer Science or related field * Minimum GPA of 3.4 * Proficiency in ... Exposure to core business systems and data (e.g., ERP, CRM, data models, etc.) * Strong written and ...

Showing results 41-60

Entry Level Data Science information

See Lake Forest, IL salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data science in Lake Forest, IL is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

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

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

What job categories do people searching Entry Level Data Science jobs in Lake Forest, IL look for?

The top searched job categories for Entry Level Data Science jobs in Lake Forest, IL are:

What cities near Lake Forest, IL are hiring for Entry Level Data Science jobs?

Cities near Lake Forest, IL with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Lake Forest, IL as of September 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,238 per year, or $18.9 per hour.

Deals - DTDS - Contracts Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Rosemont, IL โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 7 days ago


Key responsibilities

  • Supporting teams in data analysis projects by conducting research and gathering information

  • Participating in the development of data-driven insights to assist in decision-making processes

  • Assisting in the creation and maintenance of data visualization dashboards to communicate key metrics


Job description

Industry/Sector

Not Applicable

Specialism

Deals

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - DTDS - Contracts Intern, you will engage in data analysis and analytics within our Advisory practice, supporting clients in achieving sustainable growth and competitive advantage. This role involves working closely with teams to gather and analyze data, providing insights that drive decision-making and innovation. You will have the opportunity to learn from experienced professionals and contribute to projects that impact our clients' strategic objectives.
As an Intern, you will support teams by participating in projects, focusing on learning and gaining exposure to PwC's methodologies. You will perform basic tasks and conduct research while observing professional work environments. This role emphasizes developing your personal brand and understanding the diverse perspectives and needs of others. You will be encouraged to actively listen, ask questions, and express ideas clearly.
In this role, you will be part of a dynamic environment where you can apply your analytical skills and contribute to the success of our clients. You will gain exposure to data science, analytics, and artificial intelligence, helping businesses harness the power of data to drive innovation and gain a competitive edge. This is an excellent opportunity to develop your skills and build a foundation for a successful career in data and analytics.
Responsibilities
- Supporting teams in data analysis projects by conducting research and gathering information
- Participating in the development of data-driven insights to assist in decision-making processes
- Assisting in the creation and maintenance of data visualization dashboards to communicate key metrics
- Engaging in algorithm development to solve analytical problems and enhance data processing
- Utilizing tools like Alteryx and Power BI to automate data workflows and generate reports
- Collaborating with team members to integrate data from various sources into unified views
- Applying data mining techniques to identify patterns and trends within large datasets
- Contributing to the validation of data integrity and security measures across analytics platforms
- Observing and learning from experienced professionals to gain exposure to PwC's methodologies and practices
- Taking initiative to ask questions and seek feedback to enhance personal and professional growth
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data analysis and research tasks
- Participating in cloud platform design and data architecture projects
- Observing and learning from experienced data and analytics professionals
- Developing skills in data visualization and dashboard creation
- Applying a learning mindset to gain exposure to PwC methodologies

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.