Fraud Analytics Data Scientist Manager

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYChicago, IL
Salary
$99,000–$232,000 / yr
Employment
Full-time
Posted
38 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $166k
$83k $248k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $130,218–$214,000 — the blue band above. At the midpoint, this role pays about $166k versus about $172k 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 102 open roles on FindRole.

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

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Fraud Analytics Data Scientist Manager

As a Fraud Analytics - Data Scientist - Manager within the Risk & Regulatory practice, you will lead data-driven initiatives to optimize business performance and provide strategic insights for clients. You will manage client service accounts, supervise teams, and mentor junior staff while taking ownership of project planning, budgeting, and execution. Your daily work involves developing innovative solutions using advanced analytics techniques to solve complex problems and identifying linkages between system components. You will utilize Python and data science methodologies to analyze large datasets, build and maintain data pipelines, and develop data visualization techniques to enhance decision-making. The role requires a Bachelor's degree and five years of experience to address technical standards and drive continuous process improvement within the fraud solutions and risk detection domain.

What you'll do

  • Develop and implement innovative solutions using advanced analytics techniques to drive strategic insights.
  • Utilize Python and data science methodologies to analyze and interpret large datasets for informed decision-making.
  • Build and maintain data pipelines and architectures to support business intelligence efforts.
  • Manage client service accounts and drive engagement workstreams by supervising teams and solving complex problems.
  • Guide teams in strategic planning and execution while mentoring junior staff to leverage their strengths.
  • Lead data-driven initiatives to optimize business performance and enhance competitive advantage.
  • Collaborate with stakeholders to address conflicts and engage in critical conversations as necessary.
  • Promote continuous process improvement and embrace change to enhance delivery and encourage innovation.

What we're looking for

  • At least a Bachelor's degree.
  • At least 5 years of experience.
  • Preference for a degree in Accounting, Analytics, Biology, Business, Computer Science, Economics, Engineering, Finance, Health, Mathematics, Operations, Project Management, Risk Management, or Science (preferred).
  • Excel in data analysis and interpretation for strategic insights (preferred).
  • Utilize Python for advanced data science applications (preferred).
  • Develop data visualization techniques to enhance decision-making (preferred).
  • Demonstrate leadership in coaching and mentoring team members (preferred).
  • Embrace continuous process improvement in data management (preferred).

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