At PwC, the business problem is to leverage data to drive insights and make informed business decisions, specifically in the area of financial crime, by utilizing advanced analytics techniques to help clients optimize their operations and achieve their strategic goals.
Requirements
- 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
- Comfort working with structured and unstructured data
- Familiarity with agentic AI frameworks
- Proficiency in SQL and Python
Responsibilities
- Utilize analytical techniques to address financial crime issues
- Apply SQL and Python for data analysis and problem-solving
- Explore machine learning, NLP, and LLMs in relevant projects
- Contribute to team efforts while enhancing personal technical skills
- Adapt to complex situations and develop strategic insights
- Participate in research to support project objectives
- Uphold professional standards and ethical guidelines
Other
- Up to 60% travel required
- Bachelor's Degree in Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics, Mathematics, Data Processing/Analytics/Science or related field
- 1 year of experience in data science/machine learning
- Apply a learning mindset and take ownership for your own development
- Appreciate diverse perspectives, needs, and feelings of others
