AML and Sanctions- Data Scientist- Senior Associate

Overview

Specialty/

Competency:

Data, Analytics & AI

Industry/Sector: Banking and Capital Markets

Time Type: Full time

Travel Requirements: Up to 60%

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise 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.

• 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 one of the following:
  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

Learn more about how we work: (Use the "Apply for this Job" box below).-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: .

As 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 (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

For only those qualified applicants that are impacted by various Fair Chance Ordinances, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members.

We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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 and 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, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: -glance