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Entry Level Computer Science Artificial Intelligence Jobs in St Louis, MO

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered. * 2+ years of experience developing machine ...

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

... science, artificial intelligence, or machine learning * Programming experience in one or more of ... Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications ...

... science, artificial intelligence, or machine learning * Programming experience in one or more of ... Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications ...

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

... science, artificial intelligence, or machine learning * Programming experience in one or more of ... Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications ...

... Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Computer Science Artificial Intelligence information

See St Louis, MO salary details

$13

$16

$20

How much do entry level computer science artificial intelligence jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for entry level computer science artificial intelligence in St. Louis, MO is $16.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $16.83 per hour, depending on experience, location, and employer.

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO? For Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Entry Level Computer Science Artificial Intelligence jobs? Cities near St. Louis, MO with the most Entry Level Computer Science Artificial Intelligence job openings:
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in St. Louis, MO as of July 2026, with employment types broken down into 79% Full Time, 16% Part Time, 3% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $34,222 per year, or $16.5 per hour.

Assistant or Associate Professor of Actuarial Science or Computer Science (Tenure-Track)

Maryville University

Saint Louis, MO • On-site

Full-time

Posted 25 days ago


Job description

College of Business & Technology
Maryville University | St. Louis, Missouri
Full-Time | Tenure-Track | Begins Fall 2026
Shape the Future of Technology & Analytics Education
At Maryville University, we believe education should prepare students not only for today's workforce-but for tomorrow's innovations. We're seeking a passionate educator and scholar to join our College of Business & Technology as an Assistant or Associate Professor of Actuarial Science or Computer Science.
This is an exciting opportunity to inspire the next generation of technology and analytics professionals while contributing to innovative academic programs in Actuarial Science, Computer Science, and Artificial Intelligence. Depending on your background and expertise, you may be appointed within either discipline. If you're energized by teaching, mentoring students, collaborating with industry, and advancing your field through scholarship, we'd love to hear from you.
What You'll Do
As a faculty member at Maryville University, you'll play a key role in creating meaningful learning experiences while helping shape the future of our academic programs.
Teaching & Student Success
  • Teach undergraduate and graduate courses in your area of expertise through a combination of face-to-face and online instruction.
  • Create engaging, student-centered learning environments that prepare graduates for successful careers.
  • Advise and mentor students in academic planning, research, internships, professional development, and career preparation.

Scholarship & Innovation
  • Maintain an active scholarly agenda through research, publications, presentations, or other professional contributions.
  • Stay current with emerging trends and technologies within your discipline.
  • Contribute to innovation in teaching and curriculum development.

Program Development
  • Collaborate with faculty to continuously enhance and assess programs in Actuarial Science, Computer Science, and Artificial Intelligence.
  • Support curriculum innovation that aligns with evolving industry needs.

Industry & University Engagement
  • Develop relationships with industry partners to expand internship, experiential learning, and career opportunities for students.
  • Participate in departmental, college, and university committees and initiatives.
  • Engage with professional organizations and contribute to the broader academic community.

What You'll Bring
Required Qualifications
  • Ph.D. in Actuarial Science, Computer Science, or a closely related discipline.
  • Demonstrated ability to effectively teach and mentor undergraduate and/or graduate students.
  • Commitment to working on campus and actively participating in face-to-face teaching, mentoring, and university service.

Preferred Qualifications
We're especially interested in candidates who bring one or more of the following:
  • Professional actuarial credentials (ASA, FSA, ACAS, or FCAS).
  • Experience supporting or contributing to Society of Actuaries Center of Actuarial Excellence (CAE) initiatives.
  • Knowledge of contemporary software engineering principles and modern software development practices.
  • Experience with artificial intelligence technologies, including generative AI tools used to support software development and programming.
  • Evidence of scholarly productivity, applied research, industry engagement, or professional practice.

Why Maryville?
At Maryville University, you'll join a collaborative community committed to innovation, student success, and academic excellence. Our faculty enjoy opportunities to:
  • Teach highly motivated students in a supportive learning environment.
  • Collaborate across disciplines to develop innovative academic programs.
  • Engage with industry partners and emerging technologies.
  • Contribute to a culture that values continuous learning, creativity, and professional growth.
  • Make a meaningful impact on students' lives while advancing your own academic and professional career.

Additional Information
  • Employment is contingent upon successful completion of a background screening.
  • Review of applications will begin immediately and continue until the position is filled.