Risk Modeling Services, AI Data Scientist Director

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CA
Salary
$134,000–$348,500 / yr
Employment
Full-time
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $212k
This role $241k
$108k $374k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $177,050–$246,237 — the blue band above. At the midpoint, this role pays about $241k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 101 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 97 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Risk Modeling Services, AI Data Scientist Director

The Risk Modeling Services - AI Data Scientist Director will lead the development and delivery of AI-enabled modeling solutions within the Assurance practice. This Director role involves setting strategic direction for AI-driven risk modeling, shaping executive client relationships, and overseeing multiple workstreams focused on software and product innovation. Key responsibilities include developing machine learning models, predictive analytics methods, and model governance practices while guiding end-to-end delivery across design, build, testing, and deployment phases. The position requires evaluating data sources, feature engineering, and model performance to improve reliability. Candidates must demonstrate AI fluency, analytical thinking, and software development knowledge to solve complex delivery challenges. The role specifically addresses the business problem of translating complex technical ideas into actionable data science solutions for risk modeling services.

What you'll do

  • Set the strategic direction for AI-driven risk modeling and technology delivery engagements.
  • Lead client discussions to identify business needs and translate them into data science solutions.
  • Develop and oversee machine learning models, predictive analytics methods, and model governance practices.
  • Guide the end-to-end delivery of data science solutions through design, build, testing, and deployment.
  • Evaluate data sources, feature engineering approaches, and model performance to improve accuracy.
  • Drive innovation in AI, automation, and digital tooling to advance client service delivery.
  • Coach teams on technical problem solving, project planning, and release management activities.
  • Identify market opportunities and shape offerings that support growth across risk modeling services.

What we're looking for

  • At least a Bachelor's degree.
  • At least 9 years of experience.
  • Experience driving AI data science initiatives for risk modeling engagements (preferred).
  • Experience leading strategic client conversations on AI-enabled risk solutions (preferred).
  • Experience developing thought leadership in applied machine learning (preferred).
  • Ability to translate complex technical ideas into business recommendations (preferred).
  • Ability to mentor teams across multiple projects and delivery streams (preferred).
  • Ability to travel up to 60% of the time.

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