Data Scientist

• Model Development: Apply advanced machine learning and statistical methods to develop and implement models across diverse use cases, including credit, commercial, product, and operations, with a significant emphasis on credit risk
• ML Ops Leadership: Define and execute an ML Ops framework to streamline model lifecycle management, including data ingestion, data transformation, model training, deployment, and monitoring
• Collaborative Problem Solving: Work with commercial and product teams to align ML solutions with business goals, ensuring risk considerations are integrated into new products and customer segments
• Performance Tracking: Continuously monitor model performance and develop strategies to enhance accuracy and relevance, incorporating lessons learned into future iterations

• PhD in Mathematics, Physics, Statistics, AI or other related subjects
• 5+ years of experience in data science, including hands-on ML model development and production deployment
• Expert in designing, training and tuning predictive models using both established statistical methods and modern AI techniques, with practical experience in deploying models to solve complex, real-world problems
• Prior experience working in high-growth environments, ideally start-ups or scale-ups
• Proficient in Python, SQL, and one of Pytorch or Tensorflow, with experience in writing, debugging, and optimising code
• Familiarity with tools like MLflow, Kubeflow or Vertex AI, and experience implementing CI/CD pipelines for machine learning
• Strong Communicator: Can engage both technical and non-technical stakeholders

Understanding of Financial Services: Financial Services understanding is a plus, ideally in a lending environment

• Unlimited holiday
• Competitive compensation plan
• Personal growth fund: Raise your game from great to spectacular
• Monthly recognition and awards: Celebrate wins big and small
• The opportunity to make a big impact every day on the lives of European and US entrepreneurs
• Workspaces in Warsaw, London and Atlanta