FAQs
What is the duration of the co-op position?
The duration of the co-op position is 4 months during the winter term of 2025.
What will the primary responsibilities be for this co-op position?
As a Data Science co-op, you will assist product owners, business stakeholders, data scientists, data engineers, and ML engineers in building AI solutions to solve business problems, conduct exploratory data analytics, document and report on advanced analytics, and help in building and productionizing AI/ML solutions using enterprise MLOps technologies.
What are the educational requirements for this position?
Candidates must be working towards a degree in Computer Science, Engineering, Applied Mathematics, Statistics, Physics, or other relevant fields.
Are there any specific technical skills required?
Yes, candidates should have advanced Python coding skills, familiarity with machine learning concepts, and experience with data analysis packages like Pandas and machine learning packages such as Scikit Learn.
Is prior experience in the insurance industry necessary?
No, prior experience in the insurance industry is considered a nice-to-have, but it is not required.
What types of technologies should candidates be familiar with?
Candidates should be familiar with various ML concepts, NLP, deep learning development platforms such as Tensorflow, Keras, and PyTorch, and big data technologies like Apache Spark and SQL/NoSQL databases.
What is the work schedule for this co-op position?
This position requires a commitment of 37.5 hours per week.
What are the characteristics of the work environment?
The work environment is dynamic, collaborative, progressive, and high-performing.
How does RBC support diversity and inclusion in the workplace?
RBC embraces diversity and inclusion for innovation and growth, promotes building inclusive teams, and ensures that equitable workplaces are created for employees to bring their true selves to work.
What opportunities for personal development will be available during the co-op?
During the co-op, you will have opportunities to interact with leaders for development coaching, network with students from diverse backgrounds, and engage in meaningful work that makes a lasting impact.
