AI & GenAI Data Scientist-Senior Associate

PwC

Sourced from PwC's careers site · verified 1 day ago

$77k–$202k NY-New York NC-Raleigh on site Full time 3+ years exp Company has sponsored H-1B before Posted October 16, 2026
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 leverage advanced analytics, statistical modeling, exploratory analysis, and data visualization to help solve business problems and inform decisions within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while navigating ambiguity and deepening your technical skills.

In this role at PwC, you will contribute to AI-driven automation and cognitive solutions by turning large datasets into insights, supporting data-driven decision making, and developing deliverables that align with client needs and broader project objectives.

Responsibilities

- Analyzing complex client problems using statistical modeling, exploratory analysis, and data visualization techniques
- Developing data science workflows that translate large data sets into actionable insights for business decisions
- Building machine learning and predictive modeling solutions using Python, R, TensorFlow, or Scikit-learn
- Collaborating on AI and GenAI use cases that support data-driven transformation and advanced analytics delivery
- Designing, testing, and refining data models, data pipelines, and data quality checks for analytical solutions
- Interpreting results and recommendations for client teams through clear technical documentation and visual storytelling
- Applying AI fluency, analytical thinking, and data mining skills to identify patterns, risks, and opportunities
- Mentoring junior team members, reviewing assigned deliverables, and supporting their growth in technical skills
- Managing assigned workstreams while adapting to changing priorities, ambiguity, and client needs

What You Must Have

- At least a Bachelor's degree
- At least 3 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
- Demonstrating AI and GenAI data science project delivery in client settings
- Applying machine learning, NLP, and statistical analysis methods
- Interpreting complex data to shape recommendations and insights
- Collaborating across teams while managing ambiguity and shifting priorities
- Mentoring junior team members and reviewing workstream deliverables

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-glance

As PwC is an equal 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-work

For 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

Skills

  • statistical modeling
  • exploratory analysis
  • data visualization
  • Python
  • R
  • TensorFlow
  • Scikit-learn
  • data models
  • data pipelines
  • data quality checks
  • technical documentation
  • visual storytelling
  • AI fluency
  • analytical thinking
  • data mining
  • Bachelor's degree
  • 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
  • AI and GenAI data science project delivery
  • machine learning
  • NLP
  • statistical analysis
  • data interpretation
  • recommendations and insights
  • cross-team collaboration
  • ambiguity management
  • priority management
  • mentoring
  • deliverable review
  • artificial intelligence
  • generative AI
  • predictive modeling
  • data analytics
About this role

Summary

Develop AI and data science solutions, analyze client data, communicate insights, manage workstreams, and mentor junior team members.

Job title

AI & GenAI Data Scientist-Senior Associate

Experience

3+ years

Industry

professional services

Location

New York, NY · On-site

+ 56 more locations
  • Raleigh, NC · On-site
  • Charlotte, NC · On-site
  • Chicago, IL · On-site
  • Cincinnati, OH · On-site
  • Cleveland, OH · On-site
  • Columbia, SC · On-site
  • Columbus, OH · On-site
  • Dallas, TX · On-site
  • Rosemont, IL 60018 · On-site
  • Boston, MA · On-site
  • Sacramento, CA · On-site
  • St. Louis, MO · On-site
  • Salt Lake City, UT · On-site
  • San Antonio, TX · On-site
  • San Diego, CA · On-site
  • San Francisco, CA · On-site
  • On-site
  • Seattle, WA · On-site
  • Spartanburg, SC · On-site
  • Albany, NY · On-site
  • Stamford, CT · On-site
  • Tampa, FL · On-site
  • Atlanta, GA · On-site
  • Toledo, OH · On-site
  • Tulsa, OK · On-site
  • Washington, DC · On-site
  • Denver, CO · On-site
  • Des Moines, IA · On-site
  • Detroit, MI · On-site
  • Buffalo, NY · On-site
  • Florham Park, NJ · On-site
  • Fort Worth, TX · On-site
  • Greensboro, NC · On-site
  • Hartford, CT · On-site
  • Houston, TX · On-site
  • Indianapolis, IN · On-site
  • Grand Rapids, MI · On-site
  • Irvine, CA · On-site
  • Jacksonville, FL · On-site
  • Kansas City, MO · On-site
  • Las Vegas, NV · On-site
  • Little Rock, AR · On-site
  • Los Angeles, CA · On-site
  • Louisville, KY · On-site
  • Birmingham, AL · On-site
  • Fayetteville, AR · On-site
  • Melville, NY · On-site
  • Miami, FL · On-site
  • Milwaukee, WI · On-site
  • Minneapolis, MN · On-site
  • Nashville, TN · On-site
  • New Orleans, LA · On-site
  • Philadelphia, PA · On-site
  • Phoenix, AZ · On-site
  • Pittsburgh, PA · On-site
  • Portland, OR · On-site

As listed by the employer.

Salary

$77k–$202k

Listed in the job description

Visa sponsorship

Company has sponsored H-1B before

Management role

No

Posting history
  1. Oct 16, 2026 First posted
  2. Oct 16, 2026 Live now

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