AML/Sanctions- Data Scientist- Manager

Posted 2 Hours Ago
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5 Locations
Hybrid
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Manage data science teams to deliver AI/ML solutions for financial crime detection, improve client operations, and uphold quality standards.
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.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
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 Data and Analytics team you will leverage advanced analytics techniques to drive insights and enhance client operations. As a Manager you will lead teams to deliver scalable AI/ML solutions for financial crime detection, providing strategic direction on the use of machine learning, natural language processing, and large language models for client engagements. This role offers a unique opportunity to work at the intersection of technology and compliance, maintaining governance and explainability while managing client relationships and mentoring junior staff.
Responsibilities
- Manage client relationships and drive operational improvements
- Work with cross-functional teams to improve service delivery
- Uphold standards of quality and integrity in every deliverable
What You Must Have
- Bachelor's Degree
- 6 years of experience in data science/machine learning
What Sets You Apart
- 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
- Familiarity with model evaluation metrics
- Experience with Large Language Models
- Knowledge of MLOps practices
- Proven track record of leading data science teams
The salary range for this position is: $99,000 - $232,000. 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-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
  • 6 years of experience in data science/machine learning
  • 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
  • Familiarity with model evaluation metrics
  • Experience with Large Language Models
  • Knowledge of MLOps practices
  • Proven track record of leading data science teams

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Parental & Family Support All parents receive 12 weeks of paid leave and a four‑week phased return at full base pay, with additional support for fertility, adoption, surrogacy, and cryopreservation. Caregiving and back‑up care programs further bolster family support.
  • Leave & Time Off Breadth Two week‑long U.S. firmwide shutdowns (July and December) come on top of holidays and vacation/PTO. Flexible work options and protected time features are emphasized.
  • Retirement Support A firm‑funded Wealth Builder plan, level/tenure‑based, sits alongside a 401(k) with employer match and a 1% new‑hire Wealth Builder bonus. This structure provides employer contributions beyond employee deferrals.

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The Company
HQ: New York, NY
370,000 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 370,000 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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