At PwC, the business problem is to leverage advanced technologies and techniques to design and develop robust data solutions for clients in the Financial Services Risk and Regulatory domain, enabling informed decision-making and driving business growth.
Requirements
- Demonstrating proficiency in machine learning and generative AI
- Utilizing Python for data-driven solutions
- Leveraging cloud platforms like AWS, Azure, or Google Cloud
- Analyzing complex business challenges in Financial Services Risk and Regulatory
- Designing and optimizing AI-driven solutions
- Having experience with data processing and analysis tools (e.g., Pandas, NumPy, SQL)
- Being proficient in Python and ML libraries (e.g., Sci-KitLearn, TensorFlow, PyTorch)
Responsibilities
- Mentor junior team members to enhance their skills and knowledge
- Refine machine learning models and generative AI applications
- Utilize cloud platforms such as AWS, Azure, or Google Cloud for project execution
- Stay updated on industry trends and emerging technologies
- Analyze intricate problems
- Build meaningful client relationships
- Navigate the complexities of machine learning and generative AI development
Other
- Respond effectively to the diverse perspectives, needs, and feelings of others
- Use critical thinking to break down complex concepts
- Understand the broader objectives of your project or role and how your work fits into the overall strategy
- Develop a deeper understanding of the business context and how it is changing
- Bachelor's Degree
