Data Scientist

Responsibilities:Design and develop AI / ML based solutionsWork with other data scientists to build and deploy production-level solutionsTroubleshoot and debug codeWork with other teams to understand and solve business problemsEssential Skills:Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineeringSQL: For querying structured data sourcesModel Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking modelsMachine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)Version Control (Git): To maintain reproducible and collaborative workflowsTime-Series Analysis: To assess risk trends over financial yearsExploratory Data Analysis (EDA): To spot early signals or risk clusters