Data Scientist Financial Modelling & AWS Hands-on Data Scientist experienced in leveraging the AWS toolset to develop financial models. Strong coding skills in Python PySpark and SQL enabling efficient data processing feature engineering and model development. Proven ability to collaborate across teams to translate complex financial data into actionable business insights and scalable production-ready solutions. Short Description of the Job Design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions.
Key Responsibilities Understand the needs of business stakeholders form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of business strategy Bring together statistical mathematical machine-learning and software engineering skills to consider multiple solutions techniques and algorithms to develop and implement ethically sound models end to end Apply a software engineering and product development lens to business problems creating scaling and deploying software driven products and services Work in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes |
Required Experience:
IC
Data Scientist Financial Modelling & AWSHands-on Data Scientist experienced in leveraging the AWS toolset to develop financial models.Strong coding skills in Python PySpark and SQL enabling efficient data processing feature engineering and model development.Proven ability to collaborate across team...
Data Scientist Financial Modelling & AWS Hands-on Data Scientist experienced in leveraging the AWS toolset to develop financial models. Strong coding skills in Python PySpark and SQL enabling efficient data processing feature engineering and model development. Proven ability to collaborate across teams to translate complex financial data into actionable business insights and scalable production-ready solutions. Short Description of the Job Design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions.
Key Responsibilities Understand the needs of business stakeholders form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of business strategy Bring together statistical mathematical machine-learning and software engineering skills to consider multiple solutions techniques and algorithms to develop and implement ethically sound models end to end Apply a software engineering and product development lens to business problems creating scaling and deploying software driven products and services Work in an agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes |
Required Experience:
IC
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