Data Scientist – Financial Modelling & AWS

We are seeking a hands-on Data Scientist experienced in financial modelling and proficient in leveraging the AWS ecosystem to develop scalable, production-ready solutions.

Key Skills and Experience:

Only CVs clearly demonstrating hands-on AWS experience will be considered Experience with Segmentation, Classification & time series ML models. - this is not an AI/LL project Strong programming skills in Python, PySpark, and SQL for efficient data processing, feature engineering, and model development. proven experience in code management practices in corporate environment and GitLab Extensive experience working with AWS tools including SageMaker Studio and data integration tools such as AWS Glue. Proven ability to read and transform data from multiple data lakes and data warehouses, including S3, Athena, and Snowflake, either via SageMaker or AWS Glue. Business experience with mortgage-related use cases, able to translate complex financial data into actionable insights and collaborate effectively across teams. Experience with Amazon Quick Sight & React/JavaScript is a plus.