AML and Sanctions- Data Scientist- Senior Associate

· Remote

Location

Remote

Type

Full Time

Job Description

PwCJobs
AML and Sanctions- Data Scientist- Senior Associate

AML and Sanctions- Data Scientist- Senior Associate

Reposted 8 Hours Ago
7 Locations
Hybrid
77K-202K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Grow here. Go further.
The Role
As a Senior Associate in the Financial Crime Unit at PwC you'll analyze complex datasets using SQL and Python apply machine learning techniques mentor junior team members and build client relationships while enhancing your technical skills.
Summary Generated by Built In
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.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
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: $77000 - $202000. 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-glance
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.
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-work
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.

Skills Required

  • Bachelor's Degree in relevant fields (Computer Science Engineering Mathematics etc.)
  • 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
  • Hands-on experience with ML frameworks (scikit-learn etc.)
  • Thorough understanding of model evaluation metrics across tasks

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Leave & Time Off BreadthTwo firmwide week‑long shutdowns each year in the US and a broad menu of paid and unpaid leaves add structured downtime beyond standard vacation. Flexible work options provide additional avenues to step away when client needs permit.
  • Parental & Family SupportPaid parental leave is 12 weeks for all parents with a four‑week phased return at 60% time on full base pay. Family‑forming and caregiving supports span infertility coverage cryopreservation adoption/surrogacy reimbursements and nursing‑parent resources.
  • Wellbeing & Lifestyle BenefitsMental‑health and wellness resources include EAP coaching Headspace/Calm Talkspace and fitness programs. These offerings underscore a sustained emphasis on well‑being alongside core health coverage.

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The Company
HQ: New York NY
370000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance Advisory and Tax — powered by a global network of over 370000 people in 149 countries. You may know us for our business expertise but technology is core to how we help clients move faster build trust and deliver meaningful outcomes. As a technologist you’ll work on agile teams with experienced engineers and product thinkers — using AI cloud cybersecurity and more to design scalable real-world solutions. You’ll keep learning stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC our professionals include technologists engineers programmers and consultants working across AI cloud cybersecurity data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity unlocking value and shaping a more agile data-driven future.

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Date Posted

06/02/2026

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