Senior Data Scientist – Financial Services

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Role Purpose

To develop and drive forward the analytics initiative using technical expertise in machine learning and predictive algorithms, combined with data and business analysis skills to design and implement solutions to interesting and difficult problems that will generate benefits for the organization.

Main Duties & Responsibilities

– Leverage and implement machine learning algorithms to improve pricing, risk selection, retention, new business sales, and new product development
– Generate and develop commercial solution ideas and requirements for analytics projects utilising prior experience, research and speaking with business stakeholders creating significant returns on investment
– Work in close partnership with analytics partners for the respective business lines to communicate model outputs, ensure understanding, and drive adoption with the end users
– Gain a deep understanding of internal data, manipulate and prepare data for analysis, identify and acquire new data sources, and enact data quality initiatives
– Quantify and analyze model performance; guide and oversee model refreshing requirements
– Manage relationships with offshore teams and third-party suppliers providing various analytics capabilities
– Actively undertake personal development and research to ensure up to date skills and knowledge

Essential Requirements

PhD in mathematics, computer science, or other quantitative field from a top university
Experience building end-to-end analytics solutions, including exposing Python and R algorithms as APIs with Flask and building visualizations in D3.js
Expert with SQL development and advanced queries, plus experience handling unstructured data in MongoDB
Strong experience with Unix and leveraging scalable data science environments via Spark and AWS
Previous experience delivering predictive machine learning solutions and managing stakeholders within a large organisation

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