Skills
Communication
Python
Tableau
Data Analysis
SQL
NoSQL
Data Visualization
Big Data
Data Mining
Apache Spark
Docker
Kubernetes
Monitoring
Decision-making
Training
Effective Communication
Machine Learning
Scikit-Learn
Programming
Databases
apache
power bi
Azure
AWS
cloud platforms
Numpy
Pandas
Recruitment
Analytics
Snowflake
Data Science
Spark
Natural Language Processing
Matplotlib
seaborn
Microsoft Azure
NLP
Job Specifications
Job Description
As a Data Scientist, you will be part of RBC Insurance digital and data team and play a pivotal role in driving data-driven decision-making by conducting exploratory data analysis, building machine learning models, developing monitoring pipelines, and creating reporting dashboards. You will collaborate closely with cross-functional teams to deliver actionable insights and ensure the effective monitoring of machine learning models in production.
What will you do?
Conduct exploratory data analysis (EDA) to understand the data, extract key insights, and identify trends to support business decisions.
Develop machine learning models to identify patterns and help make data-driven decision-making processes.
Build and maintain model monitoring pipelines to ensure the performance and reliability of machine learning models in production.
Develop and design reporting dashboards to visualize data insights and communicate findings effectively to stakeholders.
Collaborate with business stakeholders to understand analytical requirements and translate them into actionable data science solutions.
Work with data engineers and software developers to ensure the end-to-end development and deployment of data pipelines and dashboards.
Provide data-driven insights to support informed decision-making by telling a compelling story through data visualization and reporting.
Write and review code in Python or other relevant programming languages to support data analysis and reporting needs.
What do you need to succeed?
Must-have:
Minimum 2 years of experience in data science, with a focus on exploratory data analysis, reporting, and model monitoring.
Strong expertise in Python and data analysis libraries such as Pandas, NumPy, scikit-learn and Matplotlib/Seaborn.
Excellent proficiency in programming in any language and a good understanding of data structures and algorithms.
Experience building and maintaining model monitoring pipelines and creating reporting dashboards using tools like Tableau, Power BI, or similar.
Proficiency in SQL for querying and managing large datasets.
Effective communication skills to explain technical concepts to non-technical stakeholders.
Nice-to-have
Familiarity with MLOps practices and tools for model monitoring and deployment.
Experience with cloud platforms such as Microsoft Azure, AWS, or Snowflake.
Knowledge of big data technologies like Apache Spark and NoSQL/SQL databases.
Familiarity with containerization tools like Docker or Kubernetes.
Experience in the insurance industry or working with financial data.
Software engineering experience is bonus.
What's in it for you?
A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
Competitive pay and high-earning potential
All the tools, training, and team support you need to grow your career.
Flexible work/life balance options
Sophisticated RBCI and enterprise software tools and technologies to boost your productivity.
#TECHPJ
Job Skills
Big Data Management, Data Analysis, Data Mining, Data Science, Exploratory Data Analysis (EDA), Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Python Numpy, Structured Query Language (SQL)
Additional Job Details
Address:
MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA
City:
Mississauga
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
INSURANCE
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-10-10
Application Deadline:
2025-10-31
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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com
About the Company
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences...
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