Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
About the role
- Data Scientist at Capital One utilizing machine learning technologies to enhance customer financial interactions. Collaborating with cross-functional teams to deliver innovative AI-driven products.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, machine learning engineers, and product managers to deliver AI powered products
- Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, and more — to reveal insights
- Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs)
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation
Requirements
- Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics
- Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
- PhD in a quantitative field plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Comprehensive benefits package
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