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Internship R Statistics Jobs in Illinois (NOW HIRING)

Actuarial or related internship experience at an insurance carrier, broker, or consultancy ... R/Python * Experience with statistical modeling and predictive analytics * Ability to work with ...

Actuarial or related internship experience at an insurance carrier, broker, or consultancy ... R/Python * Experience with statistical modeling and predictive analytics * Ability to work with ...

... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ... with statistical programs such as R and Python; workflow and distributed processing frameworks ...

... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ... with statistical programs such as R and Python; workflow and distributed processing frameworks ...

New

Experience with data and statistical analysis in Excel, SQL, R, and/or Python * Completion of a prior actuarial internship or similar work experience * Successful completion of at least one Society ...

Experience with data and statistical analysis in Excel, SQL, R, and/or Python * Completion of a prior actuarial internship or similar work experience * Successful completion of at least one Society ...

Bachelor's or Master's degree in economics, mathematics, data science, statistics, finance ... internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R ...

Showing results 21-40

Internship R Statistics information

What are the key skills and qualifications needed to thrive as an R Statistics intern?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.

What is an internship R Statistics position?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.
What are the most commonly searched types of R Statistics jobs in Illinois? The most popular types of R Statistics jobs in Illinois are:
Infographic showing various Internship R Statistics job openings in Illinois as of August 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution.

Actuarial Analyst

Westfield

Chicago, IL • On-site

Full-time

Re-posted 4 days ago


Westfield Insurance rating

8.7

Company rating: 8.7 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

69th of 303 rated insurance


Job description

Job Summary

We are seeking an Actuarial Analyst to provide actuarial pricing support for Westfield's US Specialty lines of business. In this role, you will experience wide-ranging opportunities to develop your actuarial skillset on complex classes including Excess Casualty, Specialty Property, Financial Lines, and Professional Lines. Alongside a talented group of Pricing Actuaries, you will interact directly with our underwriting leaders to implement market-leading pricing and analytical capabilities which will directly influence strategic business decisions.

We are looking for innately curious, detail-oriented, innovative, and highly motivated individuals to join the Actuarial team in our New York or Chicago office.

Job Responsibilities

  • Assist in conducting profitability and segmentation analyses to identify profitable growth opportunities and areas requiring remediation.
  • Prepare monthly and quarterly reports on pricing and portfolio performance, monitoring key actuarial metrics including risk-adjusted rate change, actual vs. technical          price, and mix of business.
  • Assist in building and analyzing exposure profiles to assess portfolio composition and concentrations of risk.
  • Support regular improvements to technical pricing models including enhancements for unique structures and implementing more comprehensive data capture
  • Collaborate with underwriting teams to perform pricing / profitability evaluations for individual accounts as needed.
  • Partner with other functions to improve data quality and integration into pricing tools and analytical frameworks.
  • Contribute to actuarial studies and research projects aimed at improving pricing sophistication, drawing on predictive modeling techniques.
  • Assist in actuarial due diligence for new product launches and program opportunities, including development of pricing structures and regulatory support.
  • Improve efficiency of data extraction and manipulation processes for routine projects.
  • Communicate analytical insights to underwriting and business partners to inform decision-making and strategy.
     

Job Qualifications

  • Bachelor's degree within Actuarial Science, Statistics, or similar technical field
  • At least 2 Exams toward qualification by the Casualty Actuarial Society or equivalent professional body
  • Actuarial or related internship experience at an insurance carrier, broker, or consultancy; understanding of actuarial concepts such as loss development and exposure     rating
  • Advanced skills in Microsoft Excel and familiarity with coding in SQL, VBA, or R/Python
  • Experience with statistical modeling and predictive analytics
  • Ability to work with large datasets and ensure data integrity
  • Strong written and verbal communication skills and an ability to explain technical concepts to a wide audience
  • Ability to prioritize competing demands and requests to complete work within required time constraints
  • Self-starter that is energized by independent learning and research

Westfield offers a competitive Actuarial Study Program to support and reward you as you complete the Casualty Actuarial Society Exams.

We are an equal opportunity employer/minority/female/disability/protected veteran. 

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.


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