Risk Modeling Services - AI Data Scientist Director

The Opportunity
As a Risk Modeling Services - AI Data Scientist Director you will lead the development and delivery of AI-enabled modeling solutions that support client needs within our Assurance practice. As a Director you will set strategic direction, shape client relationships at the executive level, and guide teams as they develop new ideas, translate vision into action, and identify opportunities that can advance the firm's business goals. In this role at PwC, you will oversee multiple workstreams focused on software and product innovation, collaborate across technology delivery teams, and help build solutions that combine machine learning, data science, and practical business insight.
Responsibilities
- Setting strategic direction for AI-driven risk modeling and technology delivery engagements
- Leading client discussions to identify business needs and translate them into data science solutions
- Developing and overseeing machine learning models, predictive analytics methods, and model governance practices
- Guiding end-to-end delivery of data science solutions across design, build, testing, and deployment phases
- Evaluating data sources, feature engineering approaches, and model performance to improve accuracy and reliability
- Driving innovation in AI, automation, and digital tooling to advance client service delivery
- Collaborating across technology, risk, and business teams to align solution design with delivery objectives
- Coaching teams on technical problem solving, project planning, and release management activities
- Applying AI fluency, analytical thinking, and software development knowledge to complex delivery challenges
- Identifying market opportunities and shaping offerings that support growth across risk modeling services
What You Must Have
- At least a Bachelor's degree
- At least 9 years of experience
What Sets You Apart
- Driving AI data science initiatives for risk modeling engagements
- Leading strategic client conversations on AI-enabled risk solutions
- Developing thought leadership in applied machine learning
- Translating complex technical ideas into business recommendations
- Mentoring teams across multiple projects and delivery streams
- Adhering to professional standards, code of conduct, independence
The salary range for this position is: $134,000 - $348,500. For residents of Washington state the salary range for this position is: $134,000 - $410,000. 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.