PwC is looking to leverage data and analytics to drive insights and make informed business decisions for clients, optimize operations, and achieve strategic goals within the financial crime detection domain.
Requirements
- 3 years of professional experience in data science/machine learning
- 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
Responsibilities
- Apply machine learning and natural language processing to financial crime challenges
- Leverage SQL and Python for data analysis and problem-solving
- Analyze intricate problems
- Interpret data to inform insights and recommendations
- Develop and implement innovative solutions to optimise business performance and enhance competitive advantage
- Leveraging data to drive insights and make informed business decisions
- Utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals
Other
- Bachelor's Degree in Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, Data Processing/Analytics/Science, Mathematics
- Experience mentoring junior team members
- Ability to translate client requirements into analytical solutions
- Up to 60%
- The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus.
