RESUME AND JOB
PwC
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:
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
77,000 - 202,000 USD / yearly
Up to 60%
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© 2025 Pro Partners. All rights reserved.

PwC
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:
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
77,000 - 202,000 USD / yearly
Up to 60%
Get personalized recommendations to optimize your resume specifically for AML and Sanctions- Data Scientist- Senior Associate. Takes only 15 seconds!
Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

No related jobs found at the moment.
© 2025 Pro Partners. All rights reserved.