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About the Role
The Data Science Team partners with the business to leverage predictive and prescriptive capabilities using applied statistics, machine learning, or artificial intelligence to build business solutions. The Senior Data Scientist will lead and implement the data science lifecycle for multiple business use cases, aiming to enhance customer experience, risk mitigation, underwriting, and claims processes. Success in this role requires a strong sense of ownership and a passion for solving high-impact business problems with data science.
Responsibilities
- Own the end-to-end data science lifecycle for multiple business use cases, from understanding the business problem, to data extraction and configuration, to model development and evaluation, to production deployment and change management.
- Design, oversee, and evaluate models from the perspective of statistics, business, operational performance, fairness, regulation, and risk.
- Lead discussions with stakeholders to identify business use cases, develop an effective work plan to meet objectives, and provide recommendations to integrate predictions into business processes.
- Apply advanced technical skills in data engineering and exploration, statistical modeling and machine learning, and deployment pipelines to effectively solve business problems.
- Jointly establish and implement MLOps with IT Services for batch and real-time integration of prediction services.
Requirements
- Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field.
- 4-6 years of professional experience in applied statistics and/or machine learning model development and implementation.
- 4-6 years of professional experience in data wrangling and feature engineering, including writing queries to integrate data from multiple sources.
- 4+ years of programming experience with SQL and Python/R.
- Proficiency in operational procedures, workflow, and processing function.
Skills
- Data wrangling
- Feature engineering
- Statistical modeling
- Machine learning
- Model development
- Model implementation
- Data extraction
- Data configuration
- Model evaluation
- Production deployment
- Change management
- SQL
- Python
- R
- MLOps
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
- 4-6 years
Education Level
- Undergraduate degree in Statistics, Mathematics, Computer Science, or relevant field
- Masters or PhD in Statistics, Mathematics, or Computer Science is an asset
Salary/Compensations
- $100,000–$150,000
Benefits
- Flexible hybrid model (work from home up to 2 days per week)
- Competitive salaries
- Employee share purchase plan
- Pension plans
- RRSP
- Discounts on staff insurance
- Flexible health benefits
- Early leave days
- Wellness programs
- Rewards and recognition programs
- Education assistance (CIP, FCIP, CRM or other courses)
- Internal mobility
- Leadership training
- Mentoring programs
- Donation matching
- Team volunteer days
- Total Rewards program
About the Company
- Northbridge Financial is 100% Canadian and owned by Fairfax Financial, serving through its Northbridge Insurance and Federated Insurance brands.
- A reputation for being one of Canada's leading commercial property and casualty insurance companies.
- Employees are dedicated to understanding customer needs and helping Canadian businesses have a safer and brighter future.
- A company of passionate people who put people first, believing in working hard, having fun, and making a difference.
Equal Opportunity
- We embrace and celebrate you and are committed to creating an inclusive workplace for all! No matter who you are or what makes you unique, we welcome you.
- Please let us know how we can assist or accommodate you during the selection process.