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Aml Data Scientist Jobs (NOW HIRING)

... 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 ...

Data Scientist III - FCRM

Wilmington, DE · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

... 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 ...

Data Scientist III - FCRM

Charlotte, NC · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Lexington, SC · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Greenville, SC · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Vienna, VA · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

New York, NY · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

Data Scientist III - FCRM

Boston, MA · On-site

$96K - $155K/yr

AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience. * Experience ... data science * Is familiar with the business context and data infrastructure and can translate ...

... 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 ...

... 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 ...

... 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 ...

Showing results 21-40

Aml Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do aml data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for aml data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an AML data scientist?

An AML Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to detect and prevent money laundering activities within financial institutions. They analyze large volumes of transactional and customer data to identify suspicious patterns and support compliance with anti-money laundering (AML) regulations. Their work helps organizations meet regulatory requirements and reduce financial crime risks through advanced analytics and predictive modeling.

What skills and qualifications are needed to thrive as an AML data scientist?

To thrive as an AML Data Scientist, you need a solid background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with anti-money laundering (AML) regulations, SQL, Python, and analytics platforms like SAS or Spark, as well as knowledge of relevant certifications (e.g., CAMS), is essential. Strong problem-solving abilities, analytical thinking, and effective communication skills help you interpret complex data and collaborate with compliance teams. These skills ensure accurate detection of suspicious activities, regulatory compliance, and effective risk management within financial institutions.

How does an AML data scientist typically collaborate with compliance and engineering teams to enhance anti-money laundering efforts?

An AML Data Scientist frequently works alongside compliance officers to understand regulatory requirements and suspicious activity patterns, translating these into data-driven models and analytics. They also partner with engineering teams to integrate machine learning solutions into existing transaction monitoring systems, ensuring data pipelines are robust and scalable. Regular cross-functional meetings and project updates are common, fostering a collaborative environment where technical and regulatory expertise combine to strengthen anti-money laundering strategies.

What is the difference between Aml Data Scientist vs Fraud Data Analyst?

AspectAml Data ScientistFraud Data Analyst
Required CredentialsData science degree, knowledge of AML regulations, data analysis skillsData analysis background, understanding of fraud detection methods
Work EnvironmentFinancial institutions, compliance teams, AML departmentsBanking, insurance, or e-commerce sectors focusing on fraud prevention
Employer & Industry UsageUsed in banking, finance, and AML complianceCommon in banking, retail, and online services for fraud detection

While both roles involve data analysis within financial services, an Aml Data Scientist specializes in anti-money laundering efforts, utilizing advanced analytics and machine learning. A Fraud Data Analyst focuses on detecting and preventing various types of fraud, often using similar data tools but with a different focus area. Both roles require strong analytical skills and familiarity with industry regulations, but their primary objectives and specific expertise differ.

More about Aml Data Scientist jobs

What cities are hiring for Aml Data Scientist jobs?

Cities with the most Aml Data Scientist job openings:

What states have the most Aml Data Scientist jobs?

States with the most job openings for Aml Data Scientist jobs include:

What job categories do people searching Aml Data Scientist jobs look for?

The top searched job categories for Aml Data Scientist jobs are:

Infographic showing various Aml Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AML/Sanctions- Data Scientist- Associate

Pwc

Boston, MA • On-site

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

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 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.
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.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
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 analyse 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 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 engagement, 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 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, Hugging Face Transformers
- Other quantitative fields of study may be considered

Travel Requirements

Up to 60%

Job Posting End Date

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 our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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.Learn more about how we work: https://pwc.to/how-we-workFor 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.

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