AML/Sanctions- Data Scientist- Associate
PwC·New York·United States·Machine Learning Engineering
PwC is hiring a AML/Sanctions- Data Scientist- Associate in New York. Posted 2026-08-10; applications close 2026-10-09 (in 54 days).
Role details
Industry / Sector
Banking and Capital Markets
Specialism
Data, Analytics & AI
Management Level
Associate
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They use advanced analytics techniques to help clients optimize their operations and achieve their strategic goals.
In business intelligence at PwC, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.
Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Skills, Knowledge, and Experiences (Examples)
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyze facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g., refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct, and meet independence requirements.
The Opportunity
As part of the Financial Crime Unit team, you will apply analytical methods to complex datasets, leveraging SQL and Python to tackle financial crime challenges. As an Associate, you will focus on learning and contributing to client engagements, building meaningful connections while navigating complex situations to enhance your personal brand and technical knowledge.
Responsibilities
- Utilize analytical techniques to address financial crime issues.
- Engage with clients to foster meaningful professional relationships.
- Apply SQL and Python for data analysis and problem-solving.
- Explore machine learning, NLP, and LLMs in relevant projects.
- Contribute to team efforts while enhancing personal technical skills.
- Adapt to complex situations and develop strategic insights.
- Participate in research to support project objectives.
- Uphold professional standards and ethical guidelines.
What You Must Have
- Bachelor's Degree in Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Engineering; Operations Management/Research; Statistics; Mathematics; Data Processing/Analytics/Science; or a related field.
- 1 year of experience in data science/machine learning.
What Sets You Apart
- Interest in financial crime, AML, and fraud analytics.
- Skilled in SQL for complex data queries.
- Advanced Python skills for data manipulation.
- Experience building and deploying machine learning models.
- Understanding of machine learning concepts and algorithms.
- Comfort working with structured and unstructured data.
- Familiarity with agentic AI frameworks.
- Hands-on experience with CI/CD pipelines for data science.
- Proficiency in SQL and Python.
- Basic understanding of machine learning algorithms and evaluation metrics.
- Exposure to frameworks such as scikit-learn, XGBoost, and Hugging Face Transformers.
- Other quantitative fields of study may be considered.
Travel Requirements
Up to 60%
Compensation and Benefits
The salary range for this position is: $63,000 - $140,000. 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 benefits at a glance, please visit: https://pwc.to/benefits-at-a-glance
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Applying to this role
This AML/Sanctions- Data Scientist- Associate role at PwC runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for AML/Sanctions- Data Scientist- Associate at PwC. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-08-15.
