2

Entry Level Ai Jobs in Sumter, SC (NOW HIRING)

SIE Tutor

Columbia, SC · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... entry-level financial services professionals preparing for the SIE as a prerequisite to Series ...

CompTIA A+ Tutor

Columbia, SC · Remote

$25 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... for entry-level CompTIA A+ certification. * Effective Teaching Methods: Ability to identify ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Ai information

What is the most entry-level AI job?

An entry-level AI job typically refers to roles such as AI intern, junior data analyst, or AI support technician, which require basic knowledge of programming, data analysis, and machine learning tools like Python or TensorFlow. These positions often serve as starting points for careers in artificial intelligence and may require a relevant degree or certification but usually do not demand extensive experience.

How to get a career in entry level AI with no experience?

To start a career in entry-level AI, focus on building foundational skills in programming languages like Python, understanding basic machine learning concepts, and gaining experience through online courses, tutorials, or projects. Earning certifications such as those from Coursera or edX can also enhance your resume and demonstrate your commitment to learning. Internships or entry-level positions that offer on-the-job training can provide practical experience and help you develop relevant skills in the field.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data analyst, machine learning intern, and AI research assistant. These positions often require basic programming skills, knowledge of machine learning frameworks, and familiarity with data management tools.

How do I start an entry level AI career with no experience?

To start an entry level AI career with no experience, focus on building foundational skills in programming languages like Python, learn basic machine learning concepts, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects.

Which job to go for a beginner in entry level AI?

An entry-level AI role typically involves positions such as AI intern, junior data analyst, or machine learning assistant. These roles often require foundational knowledge of programming languages like Python, basic understanding of machine learning concepts, and familiarity with tools such as TensorFlow or scikit-learn. Gaining relevant certifications or completing online courses can improve job prospects for beginners.

What does an entry level AI do?

As an Entry Level AI professional, your day-to-day tasks often include data cleaning, assisting in the development and testing of machine learning models, and collaborating with more experienced team members on ongoing projects. You may also conduct research to stay current with new AI techniques and help prepare reports or presentations on model performance. Many entry-level roles emphasize learning and mentorship, providing opportunities to receive feedback and continuously develop new technical skills. The position usually involves a mix of independent work and teamwork, offering exposure to real-world AI applications and laying a solid foundation for future career advancement.

What is an entry level AI?

An Entry Level AI job is a starting position in the field of artificial intelligence, typically requiring basic knowledge of machine learning, data science, or software development. These roles involve assisting in data preprocessing, model development, and testing AI algorithms. Common titles include AI Research Assistant, Machine Learning Engineer Intern, or Data Analyst. Employers look for candidates with programming skills (Python, TensorFlow, etc.), strong analytical abilities, and a foundational understanding of AI concepts. Many positions require a degree in computer science, mathematics, or a related field, though some opportunities exist for self-taught individuals with relevant projects or certifications.

What skills and qualifications are needed for an entry level AI?

To thrive as an Entry Level AI professional, you typically need a foundational understanding of programming (such as Python), basic knowledge of machine learning concepts, and a relevant bachelor’s degree in computer science or a related field. Familiarity with tools and libraries like TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as certifications in data science or AI, are highly valuable. Strong problem-solving abilities, a willingness to learn, and collaboration skills help you excel when working on diverse projects and teams. These skills and qualities are crucial for adapting to the rapidly evolving AI field and contributing effectively to organizational goals.

What are the most commonly searched types of Ai jobs in Sumter, SC? The most popular types of Ai jobs in Sumter, SC are:
What are popular job titles related to Entry Level Ai jobs in Sumter, SC? For Entry Level Ai jobs in Sumter, SC, the most frequently searched job titles are:
What cities near Sumter, SC are hiring for Entry Level Ai jobs? Cities near Sumter, SC with the most Entry Level Ai job openings:
Infographic showing various Entry Level Ai job openings in Sumter, SC as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

AI & GenAI Data Scientist-Senior Associate

Pwc

Columbia, SC

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 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

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work 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: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- 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 AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom