
Senior Data Scientist at Flinks
Embedded finance platform delivering connectivity, intelligence, and payments at scale.
Hands-on, engineering-heavy ML role owning models end to end from problem framing, RFC/design, training pipeline, deployment to live endpoints, and production quality monitoring; focused on business-impacting financial ML systems including transaction categorization, reversal detection, multilingual transaction NER, payments risk and balance forecasting, enrichment models, and model-performance/drift tooling; Data Engineering owns shared platform/infrastructure, so scope is model lifecycle rather than operating the platform; not a pure research or notebook-only role; collaborates with data engineering, backend, product, and QA on contracts, deployment, and rollout; uses AI-assisted development; requires 6-8 years building and shipping ML models, bachelor’s in a quantitative field, must have production-grade Python and experience personally taking models to a live monitored service; master’s/PhD is a plus; must be legally authorized to work in Canada
Remote Canada only; must be legally authorized to work in Canada




