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Internship Python Data Science Jobs in Elgin, IL

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

Northern Trust

Sr. Data Scientist

Chicago, IL · On-site

$114K - $194K/yr

Major Duties : • Develop software, typically in Python, to independently acquire data from ... Data Science specific graduate work, Finance sector experience or coursework preferred • Acts as ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

Support data science and analytics initiatives using SQL, Python, R, and Excel. * Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. Qualifications ...

Sonsoft Inc

Data Science Analytics

Chicago, IL

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Sonsoft Inc

Data Science/Analytics

Chicago, IL · On-site

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Point72

Data Scientist

Chicago, IL

Requirements * BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline. * Programming in Python (or a comparable language) and ...

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How much do internship python data science jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for internship python data science in Elgin, IL is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Elgin, IL? The most popular types of Python Data Science jobs in Elgin, IL are:
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Internship Python Data Science jobs near you
Director of Data Science, Actuarial Modeling

Director of Data Science, Actuarial Modeling

The Hartford

Chicago, IL • Hybrid

Full-time

Re-posted yesterday

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

51st of 278 rated insurance

Job description

Dir & Data Scientist - GD06BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartfordseeks a Director & Data Scientist withinEmployee Benefitsto develop statistical and machine learning solutionssupporting actuarial pricing and reserving modeling.

In this role, you will be a hands-on technical expert contributing across the full model lifecycle-partnering closely with actuarial, business, and engineering stakeholders to understand business strategies and translate them into robust, scalable modeling solutions. You will design, develop, implement, and evolve advanced analytics and machine learning models using modern technologies, MLOps practices, and Agile delivery frameworks.

This cutting-edge, forward-focused organization offers the opportunity to work autonomously on high-impact problems, influence technical and analytical decisions, collaborate deeply with crossfunctional partners, and gain strong visibility as we focus on continuous, value-driven data and model delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Responsibilities:

  • Develop, test,validate, andmaintainaportfolioof rating modelsfor theEmployee Benefits class plans inLong-TermDisability, Short-Term Disability, and Life

  • Continuouslypartner with Actuarial and Data teams tomonitorand manage the End-to-End lifecycle of the rating models and underlying data which feeds them

  • Lead cross-functional projects that include the creation of statistical models and machine learning techniques to achieve financialobjectives, solve business problems, andidentifylong-term opportunities thatenhance actuarial modeling.

  • Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset.

  • Advance the department's capabilities by creating and deploying long-term tools to continually evolve the practice of data science, with an ability to see the end-to-end solution.

  • Develop strategies to achieve targeted businessobjectives. Implement these strategies and follow through to successfulconclusion.

  • Remain current on research techniques and become familiar withstate-of-the-arttools applicable to your function.

  • Participate in the talent management process for hiring, onboarding,trainingand development of staff.

  • Collaborate with your leader to providetimelyfeedback on development and opportunities for your team.

  • Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows.

Qualifications:

  • 8+ years of relevant experience recommended

  • Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation

  • Expertiseinactuarialmodeling;experience in EmployeeBenefits pricing is a plus.

  • Experience with mentoring Data Scientists and providing guidance through model development

  • Expertisein statistical modeling, inference, and building machine learning algorithms in Python

  • Expertisein SQL and navigating databases to extract relevant attributes

  • Expertisein Unix and Git

  • Expertisein the end-to-end modeling lifecycle, from requirements gathering tomonitoringand validation

  • Experience building modeling solutions in cloud-native environments, such asSagemaker, a plus

  • Able to communicate effectively with both technical and non-technical teams

  • Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution

  • Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Candidate must be authorized to work in the US without company sponsorship.The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$138,000 - $207,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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