AML and Sanctions- Data Scientist- Senior Associate

PwC; Washington (District of Columbia); On-site; USD 77,000 - 202,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

401k

Job summary

PwC is seeking a Senior Associate in the Financial Crime Unit to apply analytical methods to complex datasets using SQL and Python. You will mentor Associates, build client relationships, and uphold high standards while addressing financial crime detection and ML applications.

Ideal candidates have 3 years in data science or ML, strong Python/SQL skills, and experience with ML frameworks. Location impacts responsibilities and compensation; PwC offers a broad benefits package.

Qualifications

• Bachelor's degree in a relevant field is required.
• 3 years of professional experience in data science/machine learning.
• Experience with SQL and Python for data analysis.

Responsibilities

• Apply machine learning and natural language processing to financial crime challenges.
• Develop understanding of the business landscape.
• Navigate complex scenarios to grow skills and deliver outcomes.
• Leverage SQL and Python for data analysis and problem-solving.

Skills

Diverse perspectives

Problem solving tools

Critical thinking

Business context

Self-awareness

Data interpretation

Professional standards

Client relationships

Education

Bachelor's degree in Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, Mathematics

Tools

SQL

Python

ML frameworks

Docker

Kubernetes

Cloud platforms

Hugging Face

Job description

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.

Skills

• 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.

The Opportunity

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.

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

What You Must Have

• 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

What Sets You Apart

• 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

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.

• medical
• dental
• vision
• 401k
• holiday pay
• vacation
• personal and family sick leave

As PwC is anequal 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.

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: https://pwc.to/H-1B-Lottery-Policy

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, 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.