Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.
About the role
- Senior Data Scientist at Clearco enhancing risk and revenue models through data science and machine learning. Collaborating with cross-functional teams to drive analytics and model production.
Responsibilities
- Design and execute data science experiments such as causal analysis, A/B tests, and offline evaluations to validate product and underwriting decisions.
- Develop, evaluate, and iterate on predictive models (e.g., credit/risk scoring, revenue forecasting, policy performance).
- Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.
- Partner with Product Engineering to productionize models and analytics, focusing on reliability, reproducibility, and maintainability.
- Turn messy real-world data into usable signals through exploratory analysis, feature engineering, and robust validation.
- Clearly communicate insights to both technical and non-technical stakeholders through documentation and presentations.
- Raise the bar for technical quality via improved analytical standards, code review practices, and documentation.
- Mentor and support other team members through pairing, feedback, and sharing best practices.
Requirements
- 5+ years of professional experience in data science, applied machine learning, or a related quantitative role
- Strong foundations in statistics and experimentation (hypothesis testing, causal reasoning, bias/variance tradeoffs, evaluation design)
- Proven experience building and shipping predictive models (classification, regression, time series, etc.) and measuring real-world impact
- Proficiency in Python and SQL, with comfort working with production data workflows
- Comfortable working with stakeholders to define problems, align on success metrics, and deliver outcomes end-to-end
- Strong written communication skills and a pragmatic approach to fast-moving environments
- Nice to Have: Experience with credit risk, underwriting, fraud/risk signals, or financial forecasting, familiarity with modern data tooling and warehouses (e.g., BigQuery, Snowflake) and transformation frameworks (e.g., dbt), experience with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments, experience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals, etc.)
Benefits
- None specified
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Scientist leveraging data analytics to drive business value at Sun Life. Collaborating with teams to develop ML products and enhance data - driven decision - making.
Program Manager overseeing master data initiatives at Stanley Black & Decker. Responsible for project execution and stakeholder collaboration to enhance data management processes.
Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.
Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
Delivery manager leading the end - to - end execution of complex data and analytics programs at Ness. Building client relationships and driving best practices for scalable data solutions in the digital economy.
Senior Data Scientist handling AI product lifecycle for Wealthsimple. Working at the intersection of AI research and product development to create real - world impact for clients.