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 business intelligence at PwC, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. You will build meaningful client connections, manage and inspire others, and navigate increasingly complex situations while deepening your technical expertise. This role offers the opportunity to deepen your technical knowledge and personal brand while addressing financial crime detection and machine learning applications within the Financial Crime Unit team.
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
- Analyze complex problems, mentor Associates, and maintain exemplary standards
- Anticipate the needs of teams and clients while delivering quality work
- Embrace ambiguity, ask questions, and use challenges as growth opportunities
Skills and Qualifications
Examples of the skills, knowledge, and experiences needed for this role include:
- Respond effectively to 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 broader project or role objectives and how your work fits into the overall strategy
- Develop a deeper understanding of the business context and its evolving landscape
- 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
- 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 depend on skills, experience, qualifications, and location, in accordance with applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.
Benefits
PwC offers a wide range of benefits, including:
- Medical, dental, and vision coverage
- 401k retirement plan
- Holiday pay
- Vacation time
- Personal and family sick leave
To view our benefits at a glance, visit PwC Benefits Overview.