Principal Data Scientist, Artificial Intelligence and Advanced Analytics

About the Role

Key Responsibilities

• 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.

Requirements

• 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 and ability to analyze large amount 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.

Qualifications

• Graduate degree, preferably a PhD in Computer Science, Data Science or another quantitative discipline.
• 5+ years of work experience or equivalent research experience.

Benefits & Perks

• BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards.
• Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
• To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards