Flinks

Flinks is a top financial data company empowering businesses with bank account connectivity, data insights, and open banking success.

Capital Markets

Financials

51-250 (180)

Founded 2016

$14M raised

3 open positions

Links

View All Jobs

Senior Data Scientist

3 months, 1 week ago

Canada

Full-time

Senior

Data Scientist

Data Science and Analytics

Azure BERT CI/CD Docker FastAPI GCP Hugging Face Kubeflow Machine Learning MLflow Python PyTorch REST API SQL

Apply Now

Flinks

Flinks is a top financial data company empowering businesses with bank account connectivity, data insights, and open banking success.

Capital Markets

51-250

Founded 2016

$14M raised

View All Jobs 3

Description

Own machine-learning models from problem framing and design through training, deployment, and production-quality monitoring.
Write design documents and RFCs to define model approaches and technical specifications.
Build training pipelines and package models for deployment on the shared platform operated by Data Engineering.
Monitor model drift, performance, and quality, and determine when retraining is needed.
Run rigorous evaluation using experimental design, statistical validation, drift detection, and champion-challenger promotion.
Collaborate with Data Engineering, backend, product, and QA teams on contracts, deployment, rollout, and integrations.
Develop and maintain model-performance, PSI/drift, and category-distribution monitoring tooling.
Contribute to live ML systems such as transaction categorization, reversal detection, NER parsing, payments risk forecasting, and enrichment models.
Use AI-assisted development to accelerate implementation and experimentation.
Connect model improvements to business outcomes such as risk reduction, enrichment accuracy, customer adoption, operational efficiency, and revenue.

Requirements

6-8 years of experience building and shipping machine-learning models.
Experience taking models to production yourself, including training pipeline, served endpoint, and monitoring.
Bachelor's degree in a quantitative field such as Computer Science, Statistics, Applied Mathematics, or related.
Master's degree or PhD is an asset, but not required.
Production-grade Python experience is non-negotiable.
Strong foundation in data science and machine learning.
Ability to deploy a model as a live, monitored service.
Must be legally authorized to work in Canada.
Experience with the listed stack is helpful, including SQL, Google Cloud Platform, BigQuery, PyTorch, HuggingFace, MLflow, Kubeflow, FastAPI, containerized deployment, and Azure DevOps.
Notebook-only or research-only experience is not a fit for this role.

Benefits

Compensation of $120,000 to $160,000 CAD annually for experienced, qualified senior hires in Canada.
Health and dental coverage starting on day 1.
Flexible paid time off (FTO).
Remote work environment with frequent in-person gatherings and activities.
Career development, learning opportunities, and growth.
Accommodation support for persons with disabilities.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Fullstack Data Scientist - freelancer

Lingaro 5K-10K IT Services

Lead GenAI engineering initiatives by designing, building, evaluating, and governing production-ready AI applications and architectures for enterprise use cases.

Poland Freelance Senior AI Engineer Data Scientist

Apache Spark AWS Azure CI/CD Databricks Docker Generative AI GitHub Actions GitLab Kubernetes Machine Learning Microservices Python

3 hours, 57 minutes ago

Apply

3 hours, 57 minutes ago

Senior/Lead Bioinformatics Scientist (Multi-Cancer Early Detection)

Natera 1K-5K Pharmaceuticals

Natera is hiring a Senior or Lead Bioinformatics Scientist to develop and clinically advance computational methods for detecting cancer from blood-based, multimodal genomic data.

United States Full-time Lead Data Scientist

$119k-$163k

Machine Learning Python

1 day, 4 hours ago

Apply

1 day, 4 hours ago