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Data Scientist

We are looking for a Data Scientist to join our growing team and build innovative credit risk models and digital products. This is a fantastic opportunity to get in on the ground floor of a start-up and help shape the culture and trajectory of our company.

What will you do?

  • Design and build automated pipelines for large-scale data analysis, model development, and validation
  • Apply machine learning, deep learning, and statistical techniques to create scalable and predictive models in credit risk and adjacent domains
  • Experiment with emerging AI/ML techniques (e.g., transformers, embeddings, graph-based models) for financial and behavioural data
  • Develop and implement model validation frameworks (e.g., performance monitoring, drift detection, bias and fairness checks)
  • Help manage and enrich proprietary datasets (structured and unstructured) to power product development
  • Provide technical consultation to clients on model feasibility, regulatory alignment, and custom-built solutions
  • Collaborate in an agile, cross-functional team environment with engineers, consultants, and product managers

Who are you?

  • University degree in Computer Science, Statistics, Applied Mathematics, Data Science, or related quantitative field
  • Proficient programming skills in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
  • Comfortable working with SQL for data extraction and analysis (R experience is a plus)
  • Hands-on experience with modern ML frameworks such as scikit-learn, XGBoost, LightGBM, and CatBoost
  • Exposure to Cloud and MLOps, such as AWS (S3, SageMaker, Lambda, EC2), GCP, or Azure; ML pipeline tools (Airflow, dbt, Spark); containerization (Docker); experiment tracking (MLflow, Weights and Biases)
  • Experience in financial services and credit risk modelling
  • Solid foundation in statistical analysis and quantitative methods, including hypothesis testing and regression
  • Strong communication skills, with the ability to collaborate and communicate with clients and stakeholders of varying technical knowledge and interest in your product
  • Highly motivated, self-starter who thrives in a fast-paced start-up environment
  • Results-focused, with a proven track record of delivering high quality work on time

Our commitment

At Payson, we are committed to fostering an inclusive and accessible environment. Please let us know if you require any accommodations in our hiring process and we will meet your needs in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code.