Data science intern analyzing HR data and developing predictive models and AI solutions. Supporting iA Financial Group’s insurance, savings, and wealth management business.
About the role
- Principal Data Scientist setting data-science strategy and deploying credit-risk models. Forward Financing provides flexible funding and technology for small businesses across America.
Responsibilities
- Set the technical vision for data science at Forward Financing
- Shape the multi-year data science roadmap
- Lead design, development, and deployment of complex, high-stakes statistical and machine learning models
- Drive flagship data science initiatives from problem framing and model design through deployment, monitoring, and iteration
- Lead technical strategy and architecture for the modeling ecosystem, including credit risk, pricing, and loss forecasting
- Partner with senior leaders across Portfolio Strategy, Engineering, Product, Underwriting, Sales, and Collections
- Identify high-value opportunities and influence business strategy with data
- Define and enforce organization-wide standards for model development, validation, code quality, and documentation
- Serve as technical authority on design decisions
- Mentor data scientists at all levels, including senior and lead team members
- Communicate technical concepts, tradeoffs, and business implications to executives and non-technical stakeholders
- Represent data science in strategic planning
- Architect and evolve production machine learning pipelines and monitoring frameworks
- Ensure models are reliable, scalable, and continuously improving
Requirements
- Deep experience building and deploying credit risk models, especially underwriting models, in fintech, lending, or financial services
- 10+ years of hands-on model development and deployment experience
- Advanced statistical and machine learning techniques, including generalized linear models, gradient boosting, and deep learning
- Proven track record leading high-impact data science initiatives from ambiguity to production with demonstrated business results
- Experience with real-time models, decisioning engines, and production-grade machine learning pipelines preferred
- Expert in Python, SQL, and Git
- Experience designing and deploying models within a cloud platform, such as AWS or SageMaker, including architectural decision-making
- Experience with workflow orchestration tools, such as Metaflow, preferred
- Strong foundation in statistics and machine learning
- Ability to influence technical direction across teams and mentor senior technical talent
- Excellent project management and communication skills, including presenting to executive audiences
- Strong critical thinking and problem-solving ability
- Experience with cloud data warehouses such as Snowflake and Databricks; Arize; Metaflow; SageMaker; decision engines such as Taktile; and feature stores such as Tecton is nice to have
- Bachelor's degree in Financial/Applied Math, Operations Research, Economics, and/or Statistics
- Authorization to work for any employer in Canada
- Must not require sponsorship to work in Canada
Benefits
- Flexible work arrangements: employees may work from home, in the office, or a combination of both
- Flexible hours
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible time-off policy
- Paid parental leave
- RRSP match
- Wellness reimbursement
- Volunteering days
- Annual professional development budget
- Charitable donation match
- Virtual and in-person team events
- Potential additional 12% annual bonus
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