Bondora

Data Scientist

Bondora

full-time

Posted on:

Location Type: Remote

Location: Estonia

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Tech Stack

AzureCloudDockerETLKubernetesPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Develop, and implement scalable scoring models to drive business impact.
  • Collaborate with the Credit team to define the rollout strategy of data science products.
  • Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
  • Follow rigorous testing and validation protocols to ensure model accuracy, reliability, and compliance with regulatory standards.
  • Engage in feature-development efforts to surface the most predictive customer signals from diverse data sources and drive more precise credit assessments.

Requirements

  • Proven track record in developing and validating credit models, ensuring they meet both regulatory requirements and business performance standards.
  • Expertise in regression, classification, ensemble methods, and time-series forecasting through both linear and nonlinear modelling.
  • Proficiency in Python and SQL, with hands-on experience in libraries like scikit-learn, TensorFlow/PyTorch.
  • Experience building and managing robust data pipelines, including ETL processes, data cleaning, and integration across disparate systems.
  • Familiarity with deploying machine learning models into production environments using cloud platforms (Azure) and containerization technologies (Docker, Kubernetes).
  • Proficiency in visualization tools, such as Tableau, to translate complex data insights into clear, actionable business intelligence.
  • Knowledge of agile development practices to efficiently manage projects and deliver iterative improvements in dynamic environments.
Benefits
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Applicant Tracking System Keywords

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Hard Skills & Tools
credit modelsregressionclassificationensemble methodstime-series forecastingPythonSQLETL processesdata cleaningmachine learning
Soft Skills
communicationcollaborationactionable insightsdata-informed decision-makingproject management