Data Scientist – Credit Risk & AI Innovation
- Hiring Organisation
- Infact
- Location
- Greater London, England, United Kingdom
regulators. Engineering & Deployment: Work within the engineering team on MLOps to containerise, deploy, and monitor models in high-scale production. Skills & Requirements Core Data Science: Foundational Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. … Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc.). Industry: 2+ years of experience in Fintech, Finance, or Credit Risk is required. Profile: You are an ambitious candidate ...