Technical Lead governing AI data readiness and API gateways at Coupa, whose platform helps businesses optimize total spend. Defining safeguards for GenAI applications, data quality, compliance, and observability.
About the role
- Senior Data Scientist executing end-to-end data science initiatives at Forward Financing, transforming complex data into strategic decisions and automated solutions. Driving data-driven decisions across all business domains.
Responsibilities
- Design, develop and deploy advanced statistical or machine learning models related to credit risk, pricing, collections, fraud, and other high-impact business use cases that drive better data-driven decisions
- Execute the full model lifecycle, from initial data discovery and feature engineering to deployment, monitoring and iterative improvement
- Partner with cross-functional teams including Portfolio Strategy, Collections, Engineering, Product, Underwriting, and Sales to integrate models into our applications and ensure they function seamlessly
- Communicate complex technical concepts, model results, and business implications to both technical and non-technical stakeholders
- Develop production-grade code and contribute to internal toolkits, documentation, and peer code review to ensure high-quality delivery
- Build and maintain production machine learning pipelines and monitoring systems to ensure models are reliable, scalable and continuously improving
Requirements
- 5+ years of hands-on model development and deployment experience using advanced statistical and machine learning techniques such as generalized linear models, gradient boosting and deep learning
- Experience in fintech or financial services, specifically building Collections models, is highly preferred.
- Proficient in Python, SQL and Git
- Experience with workflow orchestration tools, such as Metaflow
- Experience deploying and managing models within a cloud platform (AWS, Sagemaker)
- Strong foundation in statistics and machine learning, and knowledge of experimental design
- Excellent communication skills
- Strong critical thinking and problem-solving ability
- Nice to have experience: cloud data warehouses (e.g. Snowflake, Databricks), Metaflow, Arize, Sagemaker, decision engines (e.g. Taktile), feature stores (e.g. Tecton)
- Bachelor's degree in Financial/Applied Math, Operations Research, Economics, and/or Statistics. Masters/PhD is a plus.
Benefits
- medical
- dental
- vision
- commuter benefits
- a flexible time-off policy
- paid parental leave
- 401k match for US employees
- wellness reimbursement
- volunteering days
- annual professional development budget
- charitable donation match
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 Principal Data Scientist building predictive models and evaluation systems for Autodesk’s agentic AI design platform. Defining telemetry, experimentation, and product intelligence for complex user workflows.
Senior Data Scientist evaluating football ML models for SumerSports’ NFL intelligence platform. Building rigorous testing, comparison, and experimentation tooling for production model quality.
Data Scientist developing fraud detection solutions for Desjardins, North America's largest cooperative financial group. Applying data science expertise to protect financial products and services from fraud.
Data Scientist II applying SQL, Python, machine learning, and AI to Life & Health insurance products at TD Bank. Developing strategies and insights for better decisions.
Senior Data Scientist developing AI, analytics, and automation solutions for Desjardins, North America’s largest cooperative financial group. Building Finance prototypes, models, and AI agents for production.
Lead Analytics Consultant shaping Adobe Analytics and CJA strategies for Bounteous, a global AI services firm. Advising clients, designing implementations, and translating data into executive action.
Senior Data Scientist developing machine learning, GenAI agents, and analytics solutions for Sun Life’s Canadian financial - services business units. Leading technical delivery, stakeholder recommendations, and mentoring.
LP
Senior Data Scientist (GCP & Machine Learning)
LinkedIn Recruiter Post
Senior Data Scientist needed for 12 - month contract, remote - first with 1 day/month onsite in North York, ON. Must have Python, SQL, GCP (Vertex AI & BigQuery), and forecasting experience.
LP
Intermediate Data Scientist
LinkedIn Recruiter Post
Intermediate Data Scientist needed for AI company in insurance. 6 - month contract, 3 days/week in Toronto.