Data Scientist

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.

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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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