AML and Sanctions- Data Scientist- Senior Associate
About the Role
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. In this role within the Financial Crime Unit team, you will apply analytical methods to complex datasets using SQL and Python. As a Senior Associate, you will analyze intricate problems, mentor Associates, and maintain exemplary standards while building meaningful client relationships. This opportunity allows you to deepen your technical knowledge and personal brand while navigating the complexities of financial crime detection and machine learning applications.
Responsibilities
- 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
Skills and Qualifications
Examples of the skills, knowledge, and experiences needed for this role include:
- 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
- Apply 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, including PwC’s code of conduct and independence requirements
Requirements
- Bachelor's Degree in Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, or Mathematics
- 3 years of professional experience in data science/machine learning
What Sets You Apart
- Experience mentoring junior team members
- Proven ability in developing machine learning models
- 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
- Hands-on experience with ML frameworks (scikit-learn, XGBoost, LightGBM, Hugging Face)
- Thorough understanding of model evaluation metrics across tasks
Pay
The salary range for this position is $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Benefits
PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. View our benefits at a glance.