Principal Data Scientist - Artificial Intelligence & Advanced Analytics

Principal Data Scientist – Artificial Intelligence & Advanced Analytics

Graduate degree, preferably a PhD in Computer Science, Data Science or another quantitative discipline
5+ years of work experience or equivalent research experience
Strong programming skills in Python
Ability to analyze large amounts of data
Advanced level of proficiency in 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

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

No preferred qualifications provided.