Senior AI Data Scientist — End-to-End ML & Production

RBC; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading Canadian bank in Toronto is seeking a talented Data Scientist to join their Wealth Management team. The successful candidate will apply modern AI and data techniques to deliver solutions that enhance the bank's data foundation. Responsibilities include managing data science projects from end to end, collaborating with various stakeholders, and developing high-impact AI solutions. Ideal candidates will have extensive experience in machine learning, statistical analysis, and programming in Python and SQL.

Benefits

Comprehensive Total Rewards Program

Development opportunities and coaching

Access to a variety of job opportunities

Qualifications

• 3+ years of work experience in applied data science.
• In-depth knowledge of statistical analysis, data structures, machine learning.
• Advanced proficiency in SQL and Python programming languages.
• Experience in building and maintaining machine learning models.

Responsibilities

• Own and deliver data science projects end to end.
• Develop high-impact AI solutions for Wealth Management.
• Assist Operations business managers in advanced data analysis.
• Collaborate with stakeholders to build enterprise-level Data & AI solutions.

Skills

Artificial Intelligence (AI)

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Statistical Analysis

Python (Programming Language)

SQL

Data Analysis

Visualizations

Education

Master’s or PhD Degree in computer science, engineering or related field

Tools

JIRA

Confluence

Job description

A leading Canadian bank in Toronto is seeking a talented Data Scientist to join their Wealth Management team. The successful candidate will apply modern AI and data techniques to deliver solutions that enhance the bank's data foundation. Responsibilities include managing data science projects from end to end, collaborating with various stakeholders, and developing high-impact AI solutions. Ideal candidates will have extensive experience in machine learning, statistical analysis, and programming in Python and SQL.