AML Sanctions Data Science Manager
@ PwC

Boston, MA
$165,000
On Site
Full Time
Posted 1 day ago

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Job Details

Overview

At PwC, our Data and Analytics team leverages advanced analytics to drive insights and enable informed decision-making. As the AML Sanctions Data Science Manager, you lead teams in designing scalable AI/ML solutions for financial crime detection, integrating machine learning, natural language processing, and large language models into client engagements.

Key Responsibilities

  • Manage client relationships and operational improvements.
  • Lead cross-functional teams and oversee project execution.
  • Develop and deploy machine learning models for financial crime detection.
  • Coach and mentor junior team members for quality deliverables.
  • Maintain professional standards and uphold regulatory requirements.

Required Skills & Experience

  • Bachelor's Degree along with 6+ years in data science/machine learning.
  • Advanced proficiency in Python and SQL.
  • Experience with machine learning algorithms, model evaluation, and MLOps practices.
  • Strong leadership and mentoring capabilities.
  • Ability to drive operational improvements and manage client engagements.

Key Skills/Competency

  • Data Science
  • Machine Learning
  • Leadership
  • Python
  • SQL
  • AI
  • NLP
  • MLOps
  • Financial Crime
  • Client Management
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How to Get Hired at PwC

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor skills to PwC requirements.
  • Showcase Relevant Experience: Emphasize advanced analytics projects.
  • Network Strategically: Connect with PwC professionals on LinkedIn.
  • Prepare for Technical Questions: Review SQL, Python, and ML concepts.

📝 Interview Preparation Advice

Technical Preparation

Review Python advanced techniques.
Practice SQL complex queries.
Study ML algorithms and evaluation.
Familiarize with MLOps tools.

Behavioral Questions

Describe a challenging team conflict resolution.
Explain your leadership style briefly.
Discuss project management experiences succinctly.
Share a time when you mentored a teammate.

Frequently Asked Questions