2

Entry Level Data Science Jobs in Evanston, IL (NOW HIRING)

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Validation Risk - Senior Associate, you will play

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full

Showing results 21-40

Entry Level Data Science information

See Evanston, IL salary details

$10

$18

$25

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

As of Aug 18, 2026, the average hourly pay for entry level data science in Evanston, IL is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.62 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 Evanston, IL?

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

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

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

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

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

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

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

Infographic showing various Entry Level Data Science job openings in Evanston, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,165 per year, or $18.3 per hour.

Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Associate

PwC South Africa

Chicago, IL โ€ข On-site

$63 - $140/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary

The Opportunity As a Risk & Regulatory- Financial Services - Statistical and Credit Risk Modeling - Experienced Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Technology Consulting practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As an Associate, you will be driven by curiosity, adapting to a fast-paced environment while contributing to client engagements and projects. You will build meaningful client connections, manage diverse perspectives, and grow your personal brand by deepening your technical skills and understanding your strengths. In this role at PwC, you will apply a learning mindset and take ownership of your development, actively listening and expressing ideas clearly. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. You will learn and apply professional and technical standards, upholding the Firm's code of conduct and independence requirements. This position offers the chance to develop your potential and sustain performance, all while delivering quality work that drives value for clients and success for the team.

Responsibilities
  • Analyzing large datasets to extract insights and support data-driven decision-making
  • Utilizing statistical modeling techniques to address complex business challenges
  • Developing and maintaining data pipelines to streamline data integration and processing
  • Creating dashboards and visualizations using tools like Power BI and Tableau to communicate findings effectively
  • Conducting exploratory data analysis to identify trends and patterns in financial data
  • Implementing data quality improvement plans to enhance data integrity and reliability
  • Collaborating with team members to gather and analyze information from diverse sources
  • Applying machine learning algorithms to develop predictive models for risk analysis
  • Leveraging Python and SQL for data manipulation and analysis tasks
  • Supporting client engagements by providing data-driven insights and recommendations
What You Must Have
  • At least a Bachelor's degree
  • At least 1 years of experience
What Sets You Apart
  • Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
  • At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
  • Demonstrating proficiency in statistical and credit risk modeling
  • Utilizing data analysis tools like Alteryx and Tableau
  • Engaging in complex data analysis and predictive analytics
  • Developing skills in machine learning and data science
  • Applying a learning mindset to adapt in fast-paced environments
Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

All hired individuals are eligible for an annual discretionary bonus.

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal 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-work

For 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.

To view other PwC job opportunities, visit pwc.com/careers.

#J-18808-Ljbffr