AML and Sanctions- Data Scientist- Senior Associate

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision‑making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self‑awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

As part of the Financial Crime Unit team you will apply analytical methods to complex datasets leveraging SQL and Python. As a Senior Associate you will analyze intricate problems, mentor Associates, and maintain exemplary standards while building meaningful client relationships. This role offers the chance to deepen your technical knowledge and personal brand while navigating the complexities of financial crime detection and machine learning applications.

• Apply machine learning and natural language processing to financial crime challenges.
• Develop a thorough understanding of the business landscape.
• Navigate intricate scenarios to enhance personal and technical growth.
• Leverage SQL and Python for data analysis and problem solving.

• Bachelor’s Degree in Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, Mathematics.
• 3 years of professional experience in data science/machine learning.

• Experience mentoring junior team members.
• Proven ability in developing machine learning models.
• Demonstrating advanced skills in Python and SQL.
• Familiarity with MLOps practices for model monitoring.
• Comfort working with structured and unstructured data.
• Experience with cloud platforms and containerization.
• Knowledge of agentic AI frameworks for workflows.
• Ability to translate client requirements into analytical solutions.
• Proficiency in SQL and Python.
• Hands‑on experience with ML frameworks (scikit-learn, XGBoost, LightGBM, Hugging Face).
• Thorough understanding of model evaluation metrics across tasks.

Salary range: $77,000 - $202,000. Compensation within the range depends on skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.

PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex (including pregnancy, sexual orientation, and gender identity), age, disability, genetic information, veteran, marital, or citizenship status, or any other status protected by law.