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Entry Level Ai Computer Science Jobs in Phoenix, AZ

Use of AI throughout the application and recruiting process may result in removal from ... Associate degree in Information Technology, Computer Science, or a related field, or equivalent ...

Use of AI throughout the application and recruiting process may result in removal from ... Associate degree in Information Technology, Computer Science, or a related field, or equivalent ...

AI Engineer

Phoenix, AZ · On-site

$110K - $125K/yr

... computer science, information-technology, engineering, system analysis, Artificial Intelligence & Robotics or a related study, or equivalent experience. • Strong knowledge of general Financial ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

What We Look For In a Computer Programming Tutor * Advanced Subject Mastery: Deep knowledge of ... advanced technology, AI, and the latest in learning science to create personalized learning ...

Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related field * 2-3 years of experience building AI/ML or intelligent software applications * Experience with health ...

Showing results 41-60

Entry Level Ai Computer Science information

See Phoenix, AZ salary details

$29.3K

$99.6K

$239.8K

How much do entry level ai computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level ai computer science in Phoenix, AZ is $99,555.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $105,200.00 per year, depending on experience, location, and employer.

What is an entry level AI computer science job?

Entry level AI computer science jobs are positions designed for recent graduates or individuals with limited professional experience in artificial intelligence and computer science. These roles typically involve tasks such as data preprocessing, model training, testing algorithms, software development, and supporting senior engineers or researchers. Common job titles include AI Engineer, Machine Learning Engineer, Data Scientist, and AI Research Assistant. Entry level positions often require familiarity with programming languages like Python, basic knowledge of machine learning concepts, and experience working with data. These jobs provide an opportunity to build foundational skills and gain exposure to real-world AI applications.

What is the difference between Entry Level Ai Computer Science vs Data Analyst?

AspectEntry Level Ai Computer ScienceData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, research labs, startups; focus on AI models and algorithmsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageTech firms, AI startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonEntry Level Ai Computer Science vs Data Analyst

Entry Level Ai Computer Science roles focus on developing AI models and algorithms, requiring programming and machine learning knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and reporting. While both roles work with data, AI roles are more technical and development-oriented, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an entry level AI computer scientist?

To thrive as an Entry Level AI Computer Scientist, you need a solid understanding of programming (especially Python), algorithms, and foundational knowledge in machine learning, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and knowledge of version control systems like Git are commonly expected. Strong problem-solving skills, a collaborative mindset, and eagerness to learn make a candidate stand out in this rapidly evolving field. These skills are crucial for effectively building, testing, and deploying AI models while adapting to emerging technologies and team-driven projects.

What do entry level AI computer science professionals do?

In an entry-level AI computer science role, you are likely to assist with tasks such as data preprocessing, implementing basic machine learning algorithms, and supporting model evaluation efforts. You may also contribute to developing or maintaining codebases for AI applications, preparing datasets, or running experiments under the guidance of senior team members. Collaboration is common—you’ll often work with data scientists, software engineers, and product managers to support larger projects and gain exposure to the full AI development lifecycle. These experiences provide a solid foundation for advancing to more complex responsibilities over time.
What are the most commonly searched types of Ai Computer Science jobs in Phoenix, AZ? The most popular types of Ai Computer Science jobs in Phoenix, AZ are:
What are popular job titles related to Entry Level Ai Computer Science jobs in Phoenix, AZ? For Entry Level Ai Computer Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Computer Science jobs in Phoenix, AZ look for? The top searched job categories for Entry Level Ai Computer Science jobs in Phoenix, AZ are:
Infographic showing various Entry Level Ai Computer Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,555 per year, or $47.9 per hour.

Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate

Pwc

Phoenix, AZ • On-site

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Associate

Job Description & Summary

The Opportunity
As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.
As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models, all while adapting to a fast-paced environment and diverse client needs. Embrace the opportunity to learn and grow, taking ownership of your development and consistently delivering work that drives value for our clients and success as a team.
Responsibilities
- Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
- Developing scalable data models and pipelines to support AI systems and enhance data integration
- Utilizing programming languages such as Python and machine learning libraries like TensorFlow and Scikit-Learn to build and deploy AI models
- Engaging in complex data analysis to identify patterns and inform decision-making processes
- Collaborating with team members to address client challenges and deliver quality solutions
- Applying natural language processing techniques to improve text analytics and sentiment analysis
- Building and maintaining data infrastructure to support AI and machine learning initiatives
- Participating in the development of open-source software solutions to advance AI capabilities
- Conducting data wrangling and preprocessing to prepare datasets for machine learning applications
- Contributing to the continuous improvement of AI systems through feedback and iterative development
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in Python and Scikit-Learn for machine learning tasks
- Utilizing TensorFlow and Neural Networks for advanced AI implementations
- Applying Natural Language Processing (NLP) techniques for text analytics
- Developing data pipelines and integration strategies for complex data environments
- Excelling in active listening and communication to enhance team collaboration

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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