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AML Sanctions Data Science Manager
PwC
Boston, MAOn Site
Original Job Summary
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
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
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Review Python advanced techniques.
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Practice SQL complex queries.
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Study ML algorithms and evaluation.
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Familiarize with MLOps tools.
Behavioral Questions
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Describe a challenging team conflict resolution.
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Explain your leadership style briefly.
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Discuss project management experiences succinctly.
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Share a time when you mentored a teammate.