Fraud Analytics- Data Scientist - Senior Associate

PwC•Chicago, IL

2d•$77,000 - $202,000

About The Position

As a Fraud Solutions - Data Scientist - Risk Detect - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage within PwC’s Risk & Regulatory practice. In the Senior Associate role, you will build client connections, learn to manage and inspire others, navigate increasingly complex situations, and deepen your technical skills while anticipating team and client needs and delivering quality work amid ambiguity. You will use advanced analytics techniques to help clients optimize operations and achieve strategic goals. The role calls for responding effectively to diverse perspectives, using tools to generate ideas, applying critical thinking to complex concepts, and understanding project objectives and business context. You will uphold professional standards and the firm’s code of conduct and independence requirements. The role requires at least a bachelor’s degree and three years of experience. Travel may be up to 60%.

Requirements

At least a bachelor's degree.
At least 3 years of experience.
Use Python for data analysis and interpretation.
Develop data visualization and reporting dashboards.
Engage stakeholders through effective communication and teamwork.
Analyze industry trends to inform business strategies.
Navigate complex situations with intellectual curiosity and learning agility.
Embrace change and continuous process improvement.

Nice To Haves

Preference for study in one or more of the following fields: 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, or Science.

Responsibilities

Analyze complex data sets to derive actionable insights and support strategic decision-making.
Develop and implement data solutions to optimize business performance.
Use advanced analytics techniques to enhance clients’ competitive advantage.
Build and maintain client relationships to understand and anticipate their needs.
Collaborate with cross-functional teams to improve processes and data quality.
Design and deploy data visualization tools and dashboards for decision-making.
Manage stakeholders to align data initiatives with business objectives.
Apply analytical thinking and data science skills to complex business challenges.
Use Python for data analysis and pipeline development.
Uphold professional and technical standards in client engagements.