Data Scientist - Featurespace
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The role
Join a hybrid Data Scientist role focused on building and maintaining end-to-end analytic products for fraud and financial crime contexts.
Develop data schemas, implement statistical models and algorithms, and deploy them within a platform with robust testing and documentation.
Collaborate with Product Managers, engineering, and delivery teams to identify high-value opportunities and align on priorities.
Work with large, diverse data sets to perform end-to-end processing, validation, and measurement of analytic outcomes.
Communicate insights effectively to technical and non-technical stakeholders, mentor junior teammates, and contribute to team strategy.
Hybrid working arrangement: three days per week in the Cambridge office, with flexible remote options.
Develop data schemas, implement statistical models and algorithms, and deploy them within a platform with robust testing and documentation.
Collaborate with Product Managers, engineering, and delivery teams to identify high-value opportunities and align on priorities.
Work with large, diverse data sets to perform end-to-end processing, validation, and measurement of analytic outcomes.
Communicate insights effectively to technical and non-technical stakeholders, mentor junior teammates, and contribute to team strategy.
Hybrid working arrangement: three days per week in the Cambridge office, with flexible remote options.
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