Senior Associate, Fraud Analytics & AI

PwC; New York (NY); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Discretionary bonus

Medical benefits

Job summary

PwC is seeking a Fraud Solutions - Data Scientist at the Senior Associate level in New York to leverage data and analytics for strategic decision making and client impact. You will develop innovative data solutions, build client relationships, and lead cross‑functional collaboration to enhance business performance.

Ideal candidates bring 3+ years of experience, a Bachelor’s degree, and strong Python data analysis skills to design dashboards and drive data-driven decisions for clients in risk and

Qualifications

• Bachelor’s degree required.
• Minimum 3 years of professional analytics experience.

Responsibilities

• Analyzing complex data sets to derive actionable insights and support strategic decision‑making
• Developing and implementing innovative data solutions to optimize business performance
• Utilizing advanced analytics techniques to enhance competitive advantage for clients
• Building and maintaining meaningful client relationships to understand and anticipate their needs
• Collaborating with cross‑functional teams to drive continuous process improvement and data quality
• Designing and deploying data visualization tools and dashboards to facilitate informed decision‑making
• Engaging in stakeholder management to align data initiatives with business objectives
• Applying analytical thinking and data science skills to solve complex business challenges
• Leveraging Python programming for data analysis and pipeline development
• Upholding professional and technical standards in all client engagements

Skills

Python for data analysis

Data storytelling

Stakeholder management

Cross-functional collaboration

Education

Bachelor's degree

Tools

Python

Job description

PwC is seeking a Fraud Solutions - Data Scientist at the Senior Associate level in New York to leverage data and analytics for strategic decision making and client impact. You will develop innovative data solutions, build client relationships, and lead cross‑functional collaboration to enhance business performance.

Ideal candidates bring 3+ years of experience, a Bachelor’s degree, and strong Python data analysis skills to design dashboards and drive data-driven decisions for clients in risk and