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Entry Level Text Analysis Jobs (NOW HIRING)

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As of Sep 11, 2026, the average hourly pay for entry level text analysis in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.
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Infographic showing various Entry Level Text Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

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

Dallas, TX • On-site

Pwc
Finance and Insurance • 10K+ employees

$61K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


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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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK