AI & Analytics Data Scientist — Audit & Automation

Socket.dev; Toronto; On-site; CAD 55,000 - 101,000; Full time

Benefits offered by this job

Health Insurance

Tuition Reimbursement

Accident Insurance

Life Insurance

Retirement Savings Plan

Job summary

BMO Financial Group is seeking an experienced data analytics professional to advance AI-driven insights from large structured and unstructured data. You will collaborate with product teams to design predictive models and scalable analytics solutions that impact customer experience and productivity.

The role emphasizes independent work, strong communication, and the ability to transform business problems into data-driven decisions, leveraging ML/AI techniques and modern data platforms.

Qualifications

• Knowledge of SQL and Python for data analysis.
• Experience with Power BI for dashboards.
• Exposure to data analytics, ML/AI and large language models.
• Familiarity with AI products like Copilot, Gemini and ChatGPT.
• Experience writing prompts to build automation solutions.
• Passion for applying automation and AI to improve results.
• Ability to deliver end‑to‑end data solutions.
• Independent, curious and results oriented.
• Strong project and time management skills.
• Use of advanced analytics to mine data and drive decisions.

Responsibilities

• Mine and analyze large data sets to extract insights.
• Develop predictive models and data pipelines for business use.
• Collaborate with product and analytics teams to scale solutions.
• Translate business problems into data-driven plans and roadmaps.

Skills

SQL

Python

Power BI

Data analytics

Machine learning

AI

Large Language Models

Copilot

Gemini

ChatGPT

Prompt engineering

Automation

Project management

Education

Computer Science

Mathematics

Commerce

Job description

BMO Financial Group is seeking an experienced data analytics professional to advance AI-driven insights from large structured and unstructured data. You will collaborate with product teams to design predictive models and scalable analytics solutions that impact customer experience and productivity.

The role emphasizes independent work, strong communication, and the ability to transform business problems into data-driven decisions, leveraging ML/AI techniques and modern data platforms.