Senior Data Scientist - AI

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

Job summary

A financial institution is seeking a Data Scientist to join their team in Toronto. This role involves utilizing advanced AI and data techniques to deliver impactful data science solutions for Wealth Management. The ideal candidate will have extensive experience in machine learning, proficiency in Python and SQL, and the ability to communicate findings to diverse audiences. This position offers opportunities for professional growth in a collaborative, high-performing environment.

Benefits

Comprehensive Total Rewards Program including bonuses

World-class training program in financial services

Opportunities for career advancement

Qualifications

• 3+ years of work experience in applied data science and knowledge of statistical analysis.
• Advanced proficiency in SQL and Python programming languages.
• Ability to build and maintain machine learning models with model monitoring.

Responsibilities

• Own data science projects from exploration to deployment and monitoring.
• Develop AI solutions for Wealth Management applying best practices.
• Collaborate with teams to productionize data and AI solutions.

Skills

Artificial Intelligence (AI)

Data Analysis

Machine Learning Model Development

Deep Learning

Natural Language Processing (NLP)

Python (Programming Language)

Statistical Analysis

Structured Query Language (SQL)

Visualizations

Education

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

Tools

JIRA

Confluence

Job description

Job Description

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire a talented Data Scientist to join our data science and engineering team. The role will be responsible for applying modern AI and data techniques to deliver data science solutions for Wealth Management.

What will you do?

• Own and deliver data science projects end to end: from data exploration, data pre-processing, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production models.
• Develop high-impact AI solutions for Wealth Management, from research and prototyping to production deployment, applying data science industry best practices to build robust and scalable large scale modeling systems.
• Assist Operations business managers to perform advanced data analysis, statistical reports, and support ad hoc data explorations for various business cases.
• Collaborate with data engineers, application developers, and product managers to build and productionize enterprise-level Data & AI solutions.

Must Have:

• 3+ years of work experience in applied data science, in-depth knowledge of statistical analysis, data structures, machine learning, deep learning, NLP and Generative AI.
• Advanced proficiency in SQL and Python programming languages.
• Experience in data manipulation and visualizations, able to handle unstructured data and big datasets.
• Experience in building and maintaining machine learning models, model tuning, and model monitoring.
• Ability to apply data science and statistical techniques to solve real world business problems.
• Ability to communicate data science findings and recommendations to both technical and non-technical audiences.
• Familiar with JIRA, Confluence, Agile/Scrum development methodology.

Nice To Have:

• Master’s or PhD Degree in computer science, engineering or related technical field.
• Experience in building data products for analytics is a plus.
• Hands‑on experience with Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Generative AI systems into production.
• Familiar with AI Ops workflow and pipelines for productionizing models is a plus (CI/CD pipelines, observability, containers).

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high‑performing team.
• A world‑class training program in financial services.
• Opportunities to do challenging work.
• Opportunities to take on progressively greater accountabilities.
• Opportunities to build close relationships with clients.
• Access to a variety of job opportunities across business and geographies.

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Analysis, Data Mining, Deep Learning, Machine Learning Model Development, Natural Language Processing (NLP), Python (Programming Language), Statistical Analysis, Structured Query Language (SQL), Unstructured Data, Visualizations

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: WEALTH MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-09-03

Application Deadline: 2025-09-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

I nclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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