Senior Data Scientist

RBC; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial services company seeks a Data Scientist to join the Wealth Management Data and AI team in Toronto. The role will involve assisting in model development, data cleaning, and providing analytical insights. Candidates should possess strong data science and engineering experience, with proficiency in Python and SQL, and be comfortable working with large datasets. This position offers excellent career growth opportunities within a collaborative team dedicated to innovation.

Benefits

Comprehensive Total Rewards Program including bonuses

Training program in financial services

Dynamic, collaborative, and high-performing team environment

Opportunities for career advancement

Access to various job opportunities across business and geographies

Qualifications

• 4+ years of work experience within the data science domain is required.
• Ability to familiarize with new datasets quickly.
• Strong proficiency in Python and SQL.

Responsibilities

• Assist lead data scientists in building, testing, and deploying predictive models.
• Conduct exploratory data analysis and generate reports.
• Prepare and clean large datasets.

Skills

Python

Machine Learning

Data Mining

Natural Language Processing (NLP)

Predictive Analytics

Big Data Management

Education

Bachelor’s degree in computer science, Software Engineering, or Statistics

Masters/PhD considered an asset

Tools

SQL

Agile

DevOps

Job description

Job Summary

Job Description

Job Description Summary

Working within the Wealth Management Data and AI team, you will assist the lead data scientists in developing analytical models and data driven solutions. Responsibilities will include data cleaning, exploratory analysis, feature engineering, model evaluation, and model deployment.

Job Description

What will you do?

• Assist lead data scientists in building, testing, and deploying predictive models and analytical tools
• Prepare, clean, organize large data sets.
• Conduct exploratory data analysis and explain findings.
• Generate reports and visualisations.

What do you need to succeed?

• Be a jack of all trades, with experience in data science and data engineering
• Be able to familiarize oneself with new data sets quickly
• Able to communicate effectively to the team
• Be curious about state-of-the-art technology and AI algorithms.

Must-have

• A bachelor’s degree in computer science, Software Engineering, Statistics, or other STEM majors. Masters/PhD considered an asset.
• 4+ years of work experience within the data science domain.
• Strong proficiency in Python
• Strong proficiency in SQL
• Ability to pick up new tools and frameworks quickly, including learning other programming languages as needed

Nice-to-have

• Experience with Agile software development and DevOps pipelines such as Jenkins, GitHub actions
• Experience in building applications with Generative AI, Large Language Models (LLM), and agentic systems.
• Experience in productionizing and deploying ML-based applications/solutions in hybrid environments on-prem and major cloud environments, such as AWS and Azure.

What’s in it for you? (Select UP TO 7 benefit highlights)

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 building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

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Job Skills

Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)

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:

2025-06-16

Application Deadline:

2025-06-30

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

Inclusion 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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