The Data Scientist will design, implement and deliver algorithmic, model-driven, statistical or machine learning solutions in consultation with business stakeholders. You will work with stakeholders to understand the data and systems in place, and to identify opportunities to apply predictive & prescriptive analytics. This role will act as an expert consultant in big data and modelling for RBC Insurance Product and Pricing Research & Development team.
What will you do?
Support the development and implementation of longevity, mortality and morbidity risk models
Apply data science methodologies including descriptive, predictive, machine learning and AI techniques from design to implementation
Participate in the review, enhancement and maintenance of existing predictive risk models in the life insurance context
Apply a variety of statistical tests and modelling techniques to identify and recommend improvements to models and undertake related initiatives. Ensure extensive testing of model sensitivity that help with assessing model behavior and risk
Explore and characterize in-house data as well identify suitable external or population data sources relevant to understanding and predicting mortality and morbidity experience
Provide effective recommendations based on actionable insights - delivered in a way that is understandable by the business
What do you need to succeed?
Must-have
Bachelor's degree in data science, Statistics, Actuarial Science, Computer Science, Mathematics, or a similar program
4 to 6 years of relevant experience
Proficiency in Python (Pandas, NumPy, Matplotlib, SciPy) and R
Solid knowledge of generalized linear models, clustering, random forests, other machine-learning techniques, and data analysis
Proven record of strong analytical, modeling, and creative problem-solving skills
Excellent written, oral, and presentation skills to be able to liaise with stakeholders
Nice-to-have
Masters/PHD in Mathematics, Statistics or a similar program
Research experience in fields related to mortality modelling/forecasting, epidemiology, biostatistics
Previous experience in insurance or financial industry
Superior data manipulation skills
Experience with SQL, MS Access, and Microsoft Power BI
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
RBCI software tools to boost your productivity
RBC is an organization that succeeds by bringing out the best in its people. You'll be part of a supportive, inclusive team that shares common values - including a fundamental respect for each other. At the heart of this is a commitment to diversity. RBC respects and responds to the many competing and evolving priorities in our lives - so you can focus on what you can do best - putting clients first.
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:
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:
2025-10-09
Application Deadline:
2025-10-25
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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