
Principal Data Scientist, Artificial Intelligence and Advanced Analytics
- Chicago, IL
- Permanent
- Full-time
- Uses Large Language Models and Machine Learning techniques to develop AI-powered tools for a wide range of applications including predictive modeling, financial analysis and risk management.
- Leverages techniques such as prompt engineering, retrieval-augmented generation (RAG), quantization, and low rank adaptation (LoRA) to adapt LLMs to the specific context of the organization.
- Uses advanced Machine Learning techniques to mine and analyze large sets of structured and unstructured data to obtain insights or develop predictive models.
- Designs and develops agentic solutions to transform business processes with a clear goal of increasing efficiency and effectiveness to enhance the firm’s balance sheet and risk management capabilities.
- Works closely with technology teams to productionize and implement developed tools.
- Helps with governance and other activities related to executing the bank’s strategy on AI.
- Keeps principles of Responsible AI front and center in the design of AI-powered tools.
- Mathematics, statistics & programming.
- In-depth understanding of large language models.
- In-depth understanding of supervised and unsupervised Machine learning techniques.
- Creative thinking.
- Critical thinking.
- Data visualization.
- Data wrangling.
- Data preprocessing.
- Data driven decision making.
- Effective verbal & written communication skills.
- Analytical and problem-solving skills.
- Ability to influence and work collaboratively
- Able to manage ambiguity.
- Influence skills.
- Collaboration & team skills; with a focus on cross-group collaboration.