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PwC

Senior Associate, Fraud Analytics, Data Scientist

PwC

. Analyze complex data sets to derive actionable insights and support strategic decision-making .

Posted 10/18/2026full-timeUnited StatesSenior💰 $77,000 - $202,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing Python to derive insights and optimize business performance. Strong stakeholder management and collaboration skills are essential for aligning data initiatives with strategic objectives.

Highest-signal resume keywords
Python For Data AnalysisData Visualization DevelopmentStakeholder ManagementAnalytical ThinkingContinuous Process Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData Solutions DevelopmentAdvanced Analytics TechniquesData Pipeline DevelopmentData Quality ManagementDashboard DesignBusiness Performance OptimizationIndustry Trend AnalysisReporting DashboardsComplex Data Set Analysis
Soft Skills
Effective CommunicationTeamworkIntellectual CuriosityLearning AgilityClient Relationship Management
Industry Keywords
AnalyticsData ScienceBusiness AdministrationFinanceMathematicsOperations ManagementRisk ManagementBiomedical SciencesProject ManagementSupply Chain

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Analyze complex data sets to derive actionable insights and support strategic decision-making
  • Develop and implement innovative data solutions to optimize business performance
  • Utilize advanced analytics techniques to enhance clients' competitive advantage
  • Build and maintain meaningful client relationships to understand and anticipate their needs
  • Collaborate with cross-functional teams to drive continuous process improvement and data quality
  • Design and deploy data visualization tools and dashboards
  • Engage in stakeholder management to align data initiatives with business objectives
  • Apply analytical thinking and data science skills to solve complex business challenges
  • Leverage Python for data analysis and pipeline development
  • Uphold professional and technical standards in client engagements

Requirements

What you’ll need
  • At least a Bachelor's degree
  • At least 3 years of experience
  • Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
  • Utilizing Python for data analysis and interpretation
  • Developing data visualization and reporting dashboards
  • Embracing change and continuous process improvement
  • Engaging stakeholders through effective communication and teamwork
  • Analyzing industry trends to inform business strategies
  • Navigating complex situations with intellectual curiosity and learning agility
  • Up to 60% travel
  • Must not require, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth in PwC's policy

Benefits

Comp & perks
  • Annual discretionary bonus
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401k
  • Holiday pay
  • Vacation
  • Personal and family sick leave