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Python Data Scientist Jobs in Illinois (NOW HIRING)

Data Scientist

Chicago, IL ยท On-site

$140 - $190/hr

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join ... Experience with statistical modeling techniques and building predictive models using Python, SAS or ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ...

Data Scientist

Chicago, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

IL ยท On-site

As an Intellect Solutions Data Scientist, you will have the opportunity to research, experiment and ... Deploy, monitor, and update models in production, and languages and frameworks such as Python, R ...

Data Scientist

Northbrook, IL ยท Remote

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... Strong proficiency in SQL, Python, and R * Experience with Power BI, Tableau, or similar ...

Data Scientist

Chicago, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

Data Scientist I

Chicago, IL ยท On-site

$95K - $113K/yr

  • Medical

  • Retirement

  • PTO

Write clean, well-documented Python code using standard data science libraries. * Assist with model evaluation, diagnostics, and performance monitoring. * Collaborate with researchers and engineers ...

Data Scientist

Chicago, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

Staff Data Scientist

Chicago, IL ยท On-site

  • Medical

  • PTO

PayPal, Inc. seeks Staff Data Scientist in Chicago, IL Job Duties: Lead the development and ... Strong practical coding experience using Python for large-scale data processing and statistical ...

PayPal, Inc. seeks Staff Data Scientist in Chicago, IL Job Duties: Lead the development and ... Strong practical coding experience using Python for large-scale data processing and statistical ...

Data Scientist

Chicago, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Bloomington, IL ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Morton, IL ยท On-site

$81.37 - $122.06/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Data Scientist you will be responsible for performing analytical tasks and initiatives on huge ... Work with modern data platforms and tools (e.g., Python, SQL, Snowflake, Azure, Dataiku) to ...

Data Scientist

Chicago, IL ยท On-site

  • Medical

  • PTO

PayPal, Inc. seeks Data Scientist in Chicago, IL Job Duties: Analyze and process large sets of data ... using Python to analyze large datasets (1 year). Additional Responsibilities & Preferred ...

Data Scientist

Chicago, IL ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ... data science/ predictive analytics environment preferred. * Self-directed and able to work with ...

IL0219 - Data Scientist.

Warrenville, IL ยท On-site +1

$128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Scientist, R.R. Donnelley & Sons Company, Warrenville, IL. Develop and implement a set of ... Programming and sara analysis using Java, Python, Shell Scripting, PySpark, or SASSQL. * Databases:

Showing results 41-60

Python Data Scientist information

See Illinois salary details

$36.3K

$118.9K

$190.4K

How much do python data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for python data scientist in Illinois is $118,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $131,800.00 per year, depending on experience, location, and employer.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

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

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
Infographic showing various Python Data Scientist job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,937 per year, or $57.2 per hour.

Data Scientist

Doist

Chicago, IL โ€ข On-site

$140 - $190/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Overview: If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, weโ€™re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a crossโ€‘functional team โ€“ including Product Development, Underwriting, Cat Modeling, Data and Risk Management โ€“ to support profitable growth. The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.

What youโ€™d be doing:
  • Deliver analytical insights that support business decisions as a member of a crossโ€‘functional team โ€“ including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and thirdโ€‘party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned.
We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques.
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills.
Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.
About SageSure:

Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastropheโ€‘exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.

We have more than 1,000 employees in a distributed workforce environment across 12 officesโ€”Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WIโ€”who are tackling the industryโ€™s toughest challenges.

SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets.

California Applicants: View SageSureโ€™s Workforce Membersโ€™ Privacy Notice - CA Privacy Policy & Notice of Collection

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