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Entry Level Data Science Insurance Jobs in Saint Louis, MO

Esri

Data Scientist I

Saint Louis, MO · On-site

$70K - $110K/yr

Develop and pitch data science solutions by mapping business problems to machine learning or other ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Boeing

Entry-Level Loads and Dynamics Engineer

Berkeley, MO · On-site

$71K - $96K/yr

... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Pwc

AI & GenAI Data Scientist - Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

US Bank

Data Scientist

Earth City, MO · On-site

$111K - $131K/yr

... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Boeing

Entry-Level Loads and Dynamics Engineer

Berkeley, MO · On-site

$71K - $96K/yr

... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Boeing

Entry-Level Loads and Dynamics Engineer

Berkeley, MO · On-site

$71K - $96K/yr

... Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

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All JobsData Science Insurance JobsEntry Level Data Science Insurance JobsEntry Level Data Science Insurance Jobs in Saint Louis, MO

Entry Level Data Science Insurance information

See Saint Louis, MO salary details

$10

$18

$26

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

As of Aug 29, 2026, the average hourly pay for entry level data science insurance in Saint Louis, MO is $18.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.82 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Science Insurance vs Entry Level Actuarial Analyst?

AspectEntry Level Data Science InsuranceEntry Level Actuarial Analyst
Required CredentialsBasic programming, statistics, and data analysis skills; often a bachelor's degree in data science, statistics, or related fieldsActuarial exams, strong mathematics, statistics, and finance knowledge; typically a bachelor's degree in mathematics, statistics, or actuarial science
Work EnvironmentData analysis, modeling, and predictive analytics within insurance companies or consulting firmsCalculations, risk assessment, and financial modeling primarily in insurance companies or consulting firms
Industry UsageGrowing use of data science techniques in insurance for customer insights and risk modelingTraditional actuarial work focused on risk assessment, pricing, and reserving

While both roles involve working in the insurance industry, Entry Level Data Science Insurance focuses on data analysis and predictive modeling using programming skills, whereas Entry Level Actuarial Analyst emphasizes mathematical modeling and risk assessment through actuarial exams and finance knowledge.

What are popular job titles related to Entry Level Data Science Insurance jobs in Saint Louis, MO?

For Entry Level Data Science Insurance jobs in Saint Louis, MO, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science Insurance jobs in Saint Louis, MO look for?

The top searched job categories for Entry Level Data Science Insurance jobs in Saint Louis, MO are:

Entry Level Data Science Insurance jobs near you
Infographic showing various Entry Level Data Science Insurance job openings in Saint Louis, MO as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $38,529 per year, or $18.5 per hour.

Data Scientist I

Esri

Saint Louis, MO • On-site

$70K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Esri rating

9.6

Company rating: 9.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

Overview
Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning.
We're seeking a Data Scientist who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics.
We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries.
Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position.
Responsibilities
  • Consult closely with customers to understand their needs
  • Develop and pitch data science solutions by mapping business problems to machine learning or other advanced analytics approaches
  • Build high-quality analytics systems that solve our customers' business problems using techniques from data mining, statistics, and machine learning
  • Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types
  • Perform feature engineering, model selection, and hyperparameter optimization to yield high predictive accuracy and deploy the model to production in a cloud, on-premises, or hybrid environment
  • Implement best practices and patterns for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping
  • Keep up to date with the latest technology trends in machine and deep learning and incorporate them in project delivery

Requirements
  • 1+ years of professional experience in a similar position, supporting similar responsibilities
  • Professional experience with practical machine learning experience or relevant academic/lab work
  • Hands-on relevant experience in generative AI, large language models, and/or agentic systems
  • Fundamental understanding of mathematical and machine learning concepts
  • Applied statistics experience
  • Experience developing machine learning solutions, preferably in Python
  • Ability to produce compelling data visualizations to convey results
  • Strong communication skills, including the ability to explain technical concepts to non-technical audiences
  • US citizenship and willingness and ability to maintain a US Security Clearance
  • Bachelor's degree in mathematics, statistics, computer science, physics, or a STEM related field

Recommended Qualifications
  • Experience with spatial and GIS concepts, preferably using Esri software
  • Master's degree in mathematics, statistics, computer science, physics, or a STEM related field

#LI-AN1
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Total Rewards
Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
A reasonable estimate of the base salary range is
$70,304-$110,240 USD
The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life's best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri's Racial Equity and Social Justice initiatives, please visit our website here.
If you don't meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

What Esri employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About ESRI

Sourced by ZipRecruiter

Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Redlands, CA, US

Year founded

1969

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