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Internship Python Analyst Jobs in Saint Louis, MO

Lockton Companies

Actuarial Analyst

Saint Louis, MO · On-site

... internship experience all accepted). Strong computer skills, including proficiency in Microsoft ... SQL, Python, or similar programming language is a plus. Excellent organizational skills and ...

Lockton, Inc.

Actuarial Analyst

Saint Louis, MO · On-site

... coursework and internship experience all accepted). • Strong computer skills, including ... Python, or similar programming language is a plus. • Excellent organizational skills and ...

Lockton

Actuarial Analyst

Saint Louis, MO · On-site

... coursework and internship experience all accepted). • Strong computer skills, including ... Python, or similar programming language is a plus. • Excellent organizational skills and ...

TEKsystems

Backend Developer

Scott Air Force Base, IL

$60 - $75/hr

... analytics, reporting, and operational dashboards. * Develop APIs and backend services using Python ... work, internships, or academic projects. * Experience developing APIs and backend services.

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How much do internship python analyst jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship python analyst in Saint Louis, MO is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is an internship Python analyst?

An Internship Python Analyst is a student or recent graduate who assists in analyzing data, developing scripts, and creating software solutions using the Python programming language. Their role typically involves working with data sets, automating tasks, and supporting more experienced analysts or developers. These internships provide hands-on experience in coding, problem-solving, and applying analytical skills to real-world business or research problems. It’s a great opportunity to learn industry practices and gain practical exposure to Python programming.

What types of projects and tasks can I expect to work on as an internship Python analyst?

As an Internship Python Analyst, you'll typically work on data analysis projects, automating routine tasks, and assisting with the development of scripts or small applications using Python. You may collaborate with data scientists, analysts, and software engineers to clean and process datasets, generate reports, or support ongoing research. Interns often have the opportunity to contribute to real-world business problems while learning best practices in coding, documentation, and teamwork in a professional environment.

What are the key skills and qualifications needed to thrive as an internship Python analyst, and why are they important?

To thrive as an Internship Python Analyst, you need a solid understanding of Python programming, data analysis principles, and foundational knowledge in statistics or computer science. Familiarity with tools such as Jupyter Notebook, pandas, NumPy, and version control systems like Git is commonly required. Attention to detail, eagerness to learn, and strong problem-solving and communication skills help you stand out in this role. These skills and qualities are crucial for efficiently analyzing data, collaborating with teams, and contributing meaningful insights during the internship.

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

AspectInternship Python AnalystData Analyst Intern
Required SkillsPython, SQL, data manipulationExcel, SQL, basic statistics
Work EnvironmentTech companies, data-driven teamsBusiness, marketing, finance sectors
CertificationsPython certifications, data analysis coursesExcel certifications, basic analytics courses

Internship Python Analysts focus on coding, data processing, and automation using Python, often in tech environments. Data Analyst Interns typically work with Excel and SQL to interpret data for business insights. Both roles are entry-level, but the Python Analyst role emphasizes programming skills, while Data Analyst Interns focus more on data visualization and reporting. The choice depends on your technical skills and career interests in data analysis or programming.

Is an internship Python analyst worth it?

An internship as a Python analyst provides practical experience in data analysis, scripting, and problem-solving, which can enhance employability and skill development. It often offers networking opportunities and exposure to real-world projects, making it valuable for those seeking entry-level roles in data analysis or programming.

What are the most commonly searched types of Python Analyst jobs in Saint Louis, MO?

The most popular types of Python Analyst jobs in Saint Louis, MO are:

Internship Python Analyst jobs near you
Infographic showing various Internship Python Analyst job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 9% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $45,509 per year, or $21.9 per hour.

Actuarial Analyst

Saint Louis, MO • On-site

Lockton Companies
Insurance Services • 10K+ employees

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

35th of 311 rated insurance

People enjoy working here

Good employer

Recommended by parents

Learn more about Lockton Companiesexternal

Full-time

Medical

Re-posted 17 days ago

Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

Work collaboratively with client service and actuarial/financial teams to collect, validate, and reconcile data for accuracy and consistency.

Integrate data from multiple sources into actuarial and financial client reports and deliverables.  

Prepare routine financial and actuarial reports for selffunded clients including ongoing claim reporting, rate setting, contribution development and plan design modeling; partner with client service teams to review findings and trends.

Assist in delivery of comprehensive financial reporting and insights to clients related to their health benefit plans.

Build and maintain basic to moderately complex actuarial models to analyze, illustrate, and project medical/Rx loss trends and client plan performance.

Prepare spreadsheets, graphs, charts, and other visualization tools to clearly communicate healthcare-related insights to clients.

Utilize actuarial and financial modeling tools to estimate the potential impact of health plan design changes, regulatory changes, and health reform on client costs.

Support development of health plan reserve estimates for self-funded clients.  

Produce custom analytics and reporting for unique client requests, leveraging actuarial and benchmark data where appropriate.

Serve as a developing Subject Matter Expert on financial and actuarial reporting, building expertise over time.

Learn and apply internal systems, tools, and modeling platforms to improve efficiency and analytical accuracy.

Stay current on insurance/benefits industry developments, emerging trends, and actuarial best practices.

Contribute to a positive client experience through accuracy, responsiveness, and clear communication.

Participate in internal team meetings and trainings, including actuarial skill development sessions.

Perform other responsibilities as assigned. 

Compensation and Benefits

Lockton Companies LLC is committed to offering competitive pay and benefits and complies with all relevant state/local pay transparency laws. The entry base salary offered for this opportunity may vary, and is contingent upon candidate education, skills, abilities, essential competencies, experience, professional designations, unique qualifications, and geographic location.

Performance Bonus: This role may be eligible for an annual performance bonus, based upon the financial performance of the organization and the individual contributions of the Associate.

Check out Lockton Benefits Offerings Here

EDUCATION, EXPERIENCE, AND SKILLS REQUIRED

Bachelor's degree in actuarial science, mathematics, statistics, finance, economics, or related quantitative field.  

2+ years of health benefits experience at a brokerage/consulting firm or insurance carrier preferred.

Completion of actuarial exams preferred; candidates with 2 or more exams encouraged to apply.  

Strong analytical and quantitative skills with an interest in actuarial career progression (including pursuit of at least ASA designation).

Excellent communication and customer service skills with the ability to support multiple client team relationships.

Working knowledge of employee benefits, health insurance, and/or risk concepts preferred (job, school coursework and internship experience all accepted).

Strong computer skills, including proficiency in Microsoft suite, especially Excel (pivot tables, formulas, data manipulation); experience with VBA, SQL, Python, or similar programming language is a plus.

Excellent organizational skills and attention to detail.

Legal right to work in the United States. 

Additional Information
  • Maximum Salary : US Dollar (USD) 95,000
  • Minimum Salary: US Dollar (USD) 65,000

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