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AI & GenAI Data Scientist – Senior Manager

PwC

Florham Park, NJJob$124–280K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$124–280K/yr
Location
Florham Park, NJ
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

As an AI & GenAI Data Scientist – Senior Manager at PwC, the role leads client-facing data science workstreams and applies analytics, statistical modeling, machine learning, and AI/GenAI to complex business problems. It guides exploratory analysis and solution development, shapes technical findings into business-focused recommendations, and coaches teams through ambiguity while supporting responsible AI delivery.

Skills & qualifications

RequiredNice to have

Skills

AI and GenAI Data Science LeadershipMachine LearningDeep LearningNatural Language ProcessingExecutive NarrativesExperimentationIterative RefinementTeam CoachingNavigating Ambiguity

Qualifications

Bachelor's Degree7+ Years ExperienceAccounting or Analytics/Data Science or Artificial Intelligence/Robotics or Business Administration/Management or Computer Science/Information Systems or Cybersecurity or Engineering or Mathematics/Statistics or Operations/Supply Chain or Project/Technology Management or Risk Management/Insurance

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

The Opportunity

As an AI & GenAI Data Scientist – Senior Manager you will leverage advanced analytics, statistical modeling, and data visualization to help clients solve complex business problems and support data-driven decisions within our Data and Analytics Engineering practice. As a Senior Manager you will lead large workstreams, use sound judgment in ambiguous situations, coach teams through complexity, and shape clear messages that connect technical analysis to business priorities. In this role at PwC, you will guide exploratory and descriptive analysis, apply machine learning techniques to large data sources, and contribute to the development of AI and GenAI solutions that inform strategy and operational improvement.

Responsibilities

  • Leading AI and GenAI data science workstreams for client engagements and translating business questions into analytic approaches

  • Developing machine learning, deep learning, and natural language processing models to address complex business problems

  • Applying statistical analysis, predictive modeling, and rapid experimentation to generate actionable insights from structured and unstructured data

  • Designing data science workflows that connect data engineering, data quality, and model development activities

  • Building and refining data models, data pipelines, and analytical assets that support scalable solution delivery

  • Evaluating model performance, testing assumptions, and adjusting approaches based on findings and client feedback

  • Communicating analytic results through clear narratives, visualizations, and technical recommendations for diverse stakeholders

  • Coaching team members through ambiguity, promoting thoughtful problem solving, and supporting delivery across multiple priorities

  • Contributing to responsible use of AI by applying sound judgment, professional standards, and governance considerations in delivery

What You Must Have

  • At least a Bachelor's degree

  • At least 7 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 leadership across client-facing programs

  • Applying machine learning, deep learning, and NLP in complex solutions

  • Crafting executive-ready narratives from analytics and model outputs

  • Validating outcomes through experimentation, feedback, and iterative refinement

  • Coaching diverse teams through ambiguity and changing priorities

The salary range for this position is: $124,000 - $280,000. 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

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