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Entry Level Computer Science Artificial Intelligence Jobs in Boston, MA

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Odyssey Systems LLC

Biosensor Data Analyst

Lexington, MA · On-site

... artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA ...

MIT Human Resources

Technical Associate I

Cambridge, MA · On-site

TECHNICAL ASSOCIATE I , Computer Science and Artificial Intelligence Lab , works closely with Principal Investigators, Research Scientists, Post-Doctoral Associates, Graduate Students, and external ...

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Entry Level Computer Science Artificial Intelligence information

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$14

$18

$22

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

As of Aug 19, 2026, the average hourly pay for entry level computer science artificial intelligence in Boston, MA is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $18.80 per hour, depending on experience, location, and employer.

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 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.

Can I get an entry level computer science artificial intelligence job with no experience?

Entry level computer science artificial intelligence positions often require some foundational knowledge in programming, algorithms, and machine learning, but many employers consider candidates with relevant coursework, personal projects, or certifications even without formal work experience. Building skills in languages like Python and tools such as TensorFlow can improve your chances, and internships or online courses can help demonstrate your abilities to employers.

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 often need foundational knowledge in programming languages like Python and familiarity with AI frameworks to succeed.

What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Boston, MA?

For Entry Level Computer Science Artificial Intelligence jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Boston, MA look for?

The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Boston, MA are:

Entry Level Computer Science Artificial Intelligence jobs near you
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $38,241 per year, or $18.4 per hour.

AIT - AI Data Scientist Senior Associate

Pwc

Boston, MA

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow.
In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while maintaining professional and technical standards. This position offers a chance to deepen your understanding of the business context and how it is evolving, as well as to develop self-awareness and address development areas. You will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Utilizing machine learning algorithms and predictive modeling to solve complex business problems
- Creating data visualizations to effectively communicate insights and drive data-driven decisions
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Managing data pipelines and confirming data quality and integrity throughout the analysis process
- Applying data science workflows and troubleshooting techniques to optimize performance
- Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
- Mentoring junior team members and fostering a collaborative team environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging experience with data engineering and data pipelines
- Applying knowledge of natural language processing and neural networks
- Navigating ambiguity while building meaningful client relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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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